Epidemiology of pheochromocytoma and paraganglioma: population-based cohort study

in European Journal of Endocrinology
Authors:
Alexander A LeungDivision of Endocrinology and Metabolism, Department of Medicine, University of Calgary, Calgary, Alberta, Canada
Department of Community Health Sciences, University of Calgary

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https://orcid.org/0000-0002-7536-8497
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Janice L PasiekaDepartment of Surgery, University of Calgary

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Martin D HyrczaDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
Alberta Precision Laboratories, Alberta Health Services, Calgary, Alberta, Canada

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Danièle PacaudDepartment of Paediatrics, University of Calgary, Calgary, Alberta, Canada

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Yuan DongDepartment of Community Health Sciences, University of Calgary

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Jessica M BoydDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
Alberta Precision Laboratories, Alberta Health Services, Calgary, Alberta, Canada

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Hossein SadrzadehDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
Alberta Precision Laboratories, Alberta Health Services, Calgary, Alberta, Canada

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Gregory A KlineDivision of Endocrinology and Metabolism, Department of Medicine, University of Calgary, Calgary, Alberta, Canada

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Correspondence should be addressed to A A Leung; Email: aacleung@ucalgary.ca
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Objective

Despite the significant morbidity and mortality associated with pheochromocytoma and paraganglioma, little is known about their epidemiology. The primary objective was to determine the incidence of pheochromocytoma and paraganglioma in an ethnically diverse population. A secondary objective was to develop and validate algorithms for case detection using laboratory and administrative data.

Design

Population-based cohort study in Alberta, Canada from 2012 to 2019.

Methods

Patients with pheochromocytoma or paraganglioma were identified using linked administrative databases and clinical records. Annual incidence rates per 100 000 people were calculated and stratified according to age and sex. Algorithms to identify pheochromocytoma and paraganglioma, based on laboratory and administrative data, were evaluated.

Results

A total of 239 patients with pheochromocytoma or paraganglioma (collectively with 251 tumors) were identified from a population of 5 196 368 people over a period of 7 years. The overall incidence of pheochromocytoma or paraganglioma was 0.66 cases per 100 000 people per year. The frequency of pheochromocytoma and paraganglioma increased with age and was highest in individuals aged 60–79 years (8.85 and 14.68 cases per 100 000 people per year for males and females, respectively). An algorithm based on laboratory data (metanephrine >two-fold or normetanephrine >three-fold higher than the upper limit of normal) closely approximated the true frequency of pheochromocytoma and paraganglioma with an estimated incidence of 0.54 cases per 100 000 people per year.

Conslusion

The incidence of pheochromocytoma and paraganglioma in an unselected population of western Canada was unexpectedly higher than rates reported from other areas of the world.

Abstract

Objective

Despite the significant morbidity and mortality associated with pheochromocytoma and paraganglioma, little is known about their epidemiology. The primary objective was to determine the incidence of pheochromocytoma and paraganglioma in an ethnically diverse population. A secondary objective was to develop and validate algorithms for case detection using laboratory and administrative data.

Design

Population-based cohort study in Alberta, Canada from 2012 to 2019.

Methods

Patients with pheochromocytoma or paraganglioma were identified using linked administrative databases and clinical records. Annual incidence rates per 100 000 people were calculated and stratified according to age and sex. Algorithms to identify pheochromocytoma and paraganglioma, based on laboratory and administrative data, were evaluated.

Results

A total of 239 patients with pheochromocytoma or paraganglioma (collectively with 251 tumors) were identified from a population of 5 196 368 people over a period of 7 years. The overall incidence of pheochromocytoma or paraganglioma was 0.66 cases per 100 000 people per year. The frequency of pheochromocytoma and paraganglioma increased with age and was highest in individuals aged 60–79 years (8.85 and 14.68 cases per 100 000 people per year for males and females, respectively). An algorithm based on laboratory data (metanephrine >two-fold or normetanephrine >three-fold higher than the upper limit of normal) closely approximated the true frequency of pheochromocytoma and paraganglioma with an estimated incidence of 0.54 cases per 100 000 people per year.

Conslusion

The incidence of pheochromocytoma and paraganglioma in an unselected population of western Canada was unexpectedly higher than rates reported from other areas of the world.

Introduction

Pheochromocytomas and paragangliomas are rare tumors derived from chromaffin tissue with the potential for catecholamine secretion. Though rare, these are important to recognize because, if left untreated, tumors may lead to high blood pressure, cardiovascular complications, and even death (1, 2). The prognosis, however, is typically excellent in cases that are medically stabilized and resected with surgery (3). Experienced multidisciplinary teams are ideally suited to manage patients perioperatively and to provide postoperative follow-up to monitor for recurrence, distant metastasis, or associated tumors (4, 5).

Disease surveillance is a critical first step for healthcare professionals and policy makers to allocate appropriate resources and to improve access for specialized treatment for affected patients. However, despite the significant morbidity and mortality associated with pheochromocytoma and paraganglioma, there are no mechanisms in place to routinely monitor for this disease in the population. An accurate and updated understanding of the epidemiology of pheochromocytoma and paraganglioma is vital, not only to inform risk management, but to provide the needed data to evaluate current practice and policy.

Little is known about the epidemiology of this condition. Previous studies have been limited in their generalizability as these have commonly been conducted in selected populations, mostly representative of people of white ethnicity (6, 7, 8, 9, 10), those living in catchment areas near highly specialized tertiary and quaternary care centers (10, 11), and many based on data collected over half a century ago (7, 8, 9, 11). Addressing this, we conducted a cohort study from an ethnically and sociodemographically diverse population in western Canada within the last decade, identifying incident cases of pheochromocytoma and paraganglioma using high-quality clinical records. Furthermore, we developed and validated several algorithms for case detection based on laboratory and administrative data to facilitate long-term disease surveillance in the population.

Methods

Study design and data sources

We conducted a population-based cohort study in Alberta, Canada. We used linked administrative databases of Alberta Health, a government ministry providing universal health coverage to >99% of the approximately 5 million people in Alberta. These data are considered to be high quality and provide near-complete capture of all patient encounters with the healthcare system (12, 13, 14). These databases included a demographic and vital statistics population registry, physician claims (with International Classification of Disease, 9th revision, clinical modification version (ICD-9-CM) codes), hospital separation data (with ICD-10-CA, Canadian version, codes), and laboratory services. Data were augmented with manual review of clinical records, including those from charts, diagnostic imaging, anatomical pathology, and autopsy reports to confirm the diagnosis of pheochromocytoma and paraganglioma, as well as to determine the characteristics of affected individuals. Our analysis was restricted to beneficiaries of Alberta healthcare from April 1, 2012 to March 31, 2019. This study was approved by the Conjoint Health Research Ethics Board at the University of Calgary.

Definition of pheochromocytoma and paraganglioma

A list of people with potential pheochromocytoma or paraganglioma was created using laboratory records, physician claims, emergency department visits, and hospitalizations (Supplementary Fig. 1, see section on supplementary materials given at the end of this article). These included all individuals who had plasma free metanephrines or urinary fractionated metanephrines measured (irrespective of the results), any related provider claim (ICD-9-CM: 255.6, 237.3, and 227.5), emergency department visit, or related hospital discharge (ICD-10-CA: D35.0, D35.5, D35.6, D44.1, D44.6, and D44.7). Records were linked to corresponding charts, including clinic notes, consultation letters, and discharge summaries, as well as diagnostic imaging reports. Anatomical pathology and autopsy records were retrieved and pertinent reports were identified for detailed review using the keywords ‘pheochromocytoma’ and ‘paraganglioma’.

A combination of chart review, diagnostic imaging, and anatomical pathology were used as reference standards. While histopathology was the preferred evidence for confirmation of pheochromocytoma or paraganglioma, chart review with compatible imaging (e.g. intense 123I-metaiodobenzylguanidine avidity) was also considered acceptable for diagnosis to allow for the possibility that some cases of pheochromocytoma or paraganglioma may not have been surgically removed (e.g. where a lesion was unresectable, a contraindication to surgery existed, and/or surgery was declined by the patient).

Algorithms using laboratory and administrative data

We then developed several algorithms to identify potential cases of pheochromocytoma and paraganglioma in the population based on measured laboratory abnormalities and diagnostic codes (Supplementary Table 1) (13, 15). Recognizing important differences in clinical behavior and biochemical activity in tumors arising from different regions of the body, specific algorithms were developed to identify pheochromocytoma (i.e. tumors confined to the adrenal gland), paraganglioma in thoracic, extra-adrenal abdominal and pelvic areas, as well as paraganglioma in the head and neck region. Urine and plasma measurements for metanephrines and normetanephrines were standardized according to the reference limits given by the major laboratories in Alberta with laboratory assay methods remaining the same throughout the study period (Supplementary Table 2). The effect of potential interfering drugs could not be taken into account because we did not have access to reliable medication data. If more than 1 laboratory test of the same category was collected for the same individual, the highest reported value was considered for the analysis. For clinical encounters, up to 3 ICD-9-CM codes per visit and 1 ICD-10-CA per hospitalization were included. Each algorithm was then compared to the reference standard for diagnosis.

Statistical analysis

Descriptive statistics were reported for the baseline characteristics of patients with pheochromocytoma and/or paraganglioma. To determine disease incidence, we considered the first-ever occurrence of pheochromocytoma or paraganglioma. People with metachronous, primary tumors were only counted once. Tumor recurrences and metastatic disease were not considered. For incidence rate calculations, the denominator was based on the beneficiary population in Alberta from April 1, 2012 to March 31, 2019, representing the total population at risk. The annual incidence proportion per 100 000 people was calculated. For age and sex comparisons, the population census from July 1, 2018 was used to estimate the average size and demographics of the province over the 7-year period (https://open.alberta.ca/dataset/alberta-population-estimates-data-tables; accessed June 5, 2020).

The performance of the algorithms based on laboratory and administrative data was then assessed relative to the reference standard. We calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with corresponding 95% CIs. We aimed to identify an algorithm that maximized sensitivity (in order to capture the greatest number of true cases) (13, 15). Recognizing that pheochromocytoma and paraganglioma are rare conditions, we determined that an acceptable PPV was at least 20% (to minimize false-positive results), as informed by other studies (16). Finally, using the preferred algorithms, the number of incident cases of pheochromocytoma and paraganglioma in the population was estimated and compared with the reference standard. Analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC).

Results

During the 7 years of observation, there were 5 196 368 residents of Alberta. Of these, 15 113 people received biochemical work-up to screen for pheochromocytoma or paraganglioma. A total of 2158 individuals had at least one physician encounter for a potential diagnosis of pheochromocytoma or paraganglioma based on codes derived from provider claims, emergency department visits, and hospital discharge. After review of the corresponding charts, pathology, and autopsy records, 239 people were verified to have pheochromocytoma and/or paraganglioma. Nearly all diagnoses were confirmed using surgical pathology, tissue biopsy, or autopsy, collectively accounting for 237 (99.2%) of the cases (Table 1).

Table 1

Characteristics of individuals diagnosed with pheochromocytoma and/or paraganglioma.

Patient characteristics All (n = 239) Female (n = 142) Male (n = 97)
Median age, years (Q1, Q3) 55 (39, 65) 55 (40, 65) 53 (39, 66)
Female, n (%) 142 (59.4) 142 (100) 0 (0)
Pregnancy at diagnosis, n 5 (2.1) 5 (3.5) -
Biochemical testing
  Index tumour – PHEO
   People tested with urinary or plasma metanephrine, n 70 49 21
    >2x ULN, n (%) 33 (47.1) 24 (49.0) 9 (42.9)
    >3x ULN, n (%) 27 (38.6) 20 (40.8) 7 (33.3)
   People tested with urinary or plasma normetanephrine, n 70 49 21
    >2x ULN, n (%) 43 (61.4) 28 (57.1) 15 (71.4)
    >3x ULN, n (%) 38 (54.3) 25 (51.0) 13 (61.9)
  Index tumour - PG in the thoracic, abdominal, or pelvic region
   People tested with urinary or plasma metanephrine, n 19 11 8
    >2x ULN, n (%) 3 (15.8) 1 (9.1) 2 (25.0)
    >3x ULN, n (%) 2 (10.5) 1 (9.1) 1 (12.5)
   People tested with urinary or plasma normetanephrine, n 19 11 8
    >2x ULN, n (%) 11 (57.9) 6 (54.6) 5 (62.5)
    >3x ULN, n (%) 8 (42.1) 5 (45.5) 3 (37.5)
  Index tumour - PHEO or PG in the thoracic, abdominal, or pelvic region
   People tested with urinary or plasma metanephrine, n 89 60 29
    >2x ULN, n (%) 36 (40.5) 25 (41.7) 11 (37.9)
    >3x ULN, n (%) 29 (32.6) 21 (35.0) 8 (27.6)
   People tested with urinary or plasma normetanephrine, n 89 60 29
    >2x ULN, n (%) 54 (60.7) 34 (56.7) 20 (69.0)
    >3x ULN, n (%) 46 (51.7) 30 (50.0) 16 (55.2)
Tumor characteristics
  Total no. of tumors in cohort 251 147 104
  Median number of primary tumors per person (min., max) 1 (1, 4) 1 (1, 2) 1 (1, 4)
  Location of tumor, n (%)
   Adrenal 124 (49.4) 66 (44.9) 58 (55.8)
   Extra-adrenal abdominal or pelvic 31 (12.4) 12 (8.2) 19 (18.3)
   Thoracic 3 (1.2) 3 (2.0) 0 (0)
   Head and neck 93(37.1) 66 (44.9) 27 (26.0)
  Median size of tumor, cm (Q1, Q3) 3.2 (2.0, 5.0) 3.0 (1.7, 4.5) 3.7 (2.5, 5.5
Diagnosis, n (%)
  Surgical pathology 226 (94.6) 138 (97.2) 88 (90.7)
  Biopsy 10 (4.2) 3 (2.1) 7 (7.2)
  Autopsy 1 (0.4) 0 (0) 1 (1.0)
  Chart review 2 (0.8) 1 (0.7) 1 (1.0)

Based on the most proximal test collected prior to diagnosis; Some individuals had multicentric disease with >1 primary tumor.

PG, paraganglioma; PHEO, pheochromocytoma; Q1, lower quartile; Q3, upper quartile; ULN, upper limit of normal.

Of the 239 individuals with pheochromocytoma and/or paraganglioma, the median age at diagnosis was 55 years (Table 1). More than half of affected individuals were female and 5 (2.1%) were pregnant at the time of diagnosis. While most people had a single tumor, 9 (3.8%) individuals had multiple primaries. In total, 251 tumors were present with nearly half of these (49.4%) being pheochromocytomas. Most of the remaining lesions were situated in the head and neck area (37.1%). The median size of the detected lesions was 3.2 cm in maximum dimension. Males tended to have larger tumors compared to females (median 3.7 cm vs 3.0 cm, respectively; P = 0.004).

Incidence of pheochromocytoma and paraganglioma

The overall incidence was 0.66 cases per 100 000 people per year (Table 2). Approximately half of the individuals had a defining diagnosis of pheochromocytoma with an incidence of 0.32 cases per 100 000 people per year; the other half had paraganglioma with an incidence of 0.33 cases per 100 000 people per year. These rates remained broadly similar throughout the entire observation period (Supplementary Table 3). The incidence of pheochromocytoma and paraganglioma was generally higher in females compared to males in nearly every age group except in children (Fig. 1). When examined according to age bands, children (aged 19 years and younger) had the lowest rates of pheochromocytoma (0.37 and 0.19 cases per 100 000 people per year for males and females, respectively) and paraganglioma (0.18 and 0.19 cases per 100 000 people per year for males and females, respectively). Comparatively, adults (aged 20 years and older) had a higher incidence of pheochromocytoma (3.27 and 3.84 cases per 100 000 people per year for males and females, respectively) and paraganglioma (2.53 and 4.83 cases per 100 000 people per year for males and females, respectively). With increasing age, there was a linear rise in the incidence of pheochromocytoma and paraganglioma up to 60–79 years (8.85 and 14.68 cases per 100 000 people per year for males and females, respectively), which was then followed by a decline in the frequency of disease detected in those aged 80 years and older.

Figure 1
Figure 1

Incidence of pheochromocytoma or paraganglioma (Panel A), pheochromocytoma (Panel B), and paraganglioma (Panel C) according to age and sex strata. The population census from July 1, 2018 was used to represent the average size and demographics of the province over the 7-year period. Men are represented in blue and women in red.

Citation: European Journal of Endocrinology 184, 1; 10.1530/EJE-20-0628

Table 2

Incidence of people diagnosed with pheochromocytoma (PHEO) and/or paraganglioma (PG) between April 1, 2012 and March 31, 2019.

No. of people diagnosed* Population at risk Incidence per 100 000 people
Tumour type
 PHEO or PG 239 5 196 368 0.66
 PHEO 118 0.32
 PG 121 0.33

*The first occurrence of a PHEO or PG in an individual was used to calculate incidence. The occurrence of metachronous primary tumors, tumor recurrences, and metastases were not considered in the incidence calculation.; Calculated incidence from 2012 to 2019 may be an underestimation of the true rate because individuals who left the province were assumed to have remained disease-free.

Detection with laboratory data

We proceeded to examine the performance of laboratory data in identifying people with verified pheochromocytoma and paraganglioma (Table 3). Among all those who were tested, the prevalence of pheochromocytoma was 0.57%. Owing to the fact that nearly all people who were screened did not have a true diagnosis, the specificity and NPVs were uniformly high, irrespective of the laboratory cut-off. The best performing algorithm for detecting pheochromocytoma was based on a ‘metanephrine >two-fold higher than the upper limit of normal or normetanephrine >three-fold higher than the upper limit of normal’, which had a sensitivity of 64.0% and PPV of 28.1%.

Table 3

Performance of laboratory data in identifying people with verified cases of pheochromocytoma (PHEO) and/or paraganglioma (PG) in all individuals biochemically screened. Population base used to evaluate the performance of metanephrine (MT)/normetanephrine (NM) cutoffs were the 15 113 individuals who received urinary and/or plasma MT/NM measurements.

Algorithm TP FP FN TN SN (95% CI) SP (95% CI) PPV (95% CI) NPV (95% CI)
PHEO
 MN
  >2x ULN 37  71  49 14 956 43.0 (32.4, 54.2) 99.5 (99.4, 99.7) 34.3 (25.4, 44.0) 99.7 (99.6, 99.8)
  >3x ULN 32  31  54 14 996 37.2 (27.0, 48.3) 99.8 (99.7, 99.9) 50.8 (37.9, 63.6) 99.6 (99.5, 99.7)
 NM
  >2x ULN 46 331  40 14 696 53.5 (42.4, 64.3) 97.8 (97.6, 98.0) 12.2 (9.8, 15.9) 99.7 (99.6, 99.8)
  >3x ULN 39  97  47 14 930 45.4 (34.6, 56.5) 99.4 (99.2, 99.5) 28.7 (21.3, 37.1) 99.7 (99.6, 99.8)
 MT or NM
  MT and NM >2x ULN 58 357  28 14 670 67.4 (56.5, 77.2) 97.6 (97.4, 97.9) 14.0 (10.8, 17.7) 99.8 (99.7, 99.9)
  MT >2x ULN or NM >3x ULN 55 141  31 14 886 64.0 (52.9, 74.0) 99.1 (98.9, 99.2) 28.1 (21.9, 34.9) 99.8 (99.7, 99.9)
  MT and NM >3x ULN 51 116  35 14 911 59.3 (48.2, 69.8) 99.2 (99.1, 99.4) 30.5 (23.7, 38.1) 99.8 (99.7, 99.8)
PHEO and/or PG*
 MT
  >2x ULN 41  67  70 14 935 36.9 (28.0, 46.6) 99.6 (99.4, 99.7) 38.0 (28.8, 47.8) 99.5 (99.4, 99.6)
  >3x ULN 35  28  76 14 974 31.5 (23.0, 41.0) 99.8 (99.7, 99.9) 55.6 (42.5, 68.1) 99.5 (99.4, 99.6)
 NM
  >2x ULN 58 319  53 14 683 52.3 (42.6, 61.8) 97.9 (97.6, 98.1) 15.4 (11.9, 19.4) 99.6 (99.5, 99.7)
  >3x ULN 48  88  63 14 914 43.2 (33.9, 53.0) 99.4 (99.3, 99.5) 35.3 (27.3, 44.0) 99.6 (99.5, 99.7)
 MT or NM
  >2x ULN 71 344  40 14 658 64.0 (54.3, 72.9) 97.7 (97.5, 97.9) 17.1 (13.6, 21.1) 99.7 (99.6, 99.8)
 MT and NM
  >2x ULN  2  0 109 15 002 1.8 (0.2, 6.4) 100.0 (100.0, 100.0) 100.0 (15.8, 100.0) 99.3 (99.1, 99.4)
 MT or NM
  MT >2x ULN or NM >3x ULN 66 130  45 14 872 59.5 (49.7, 68.7) 99.1 (99.0, 99.3) 33.7 (27.1, 40.8) 99.7 (99.6, 99.8)
  >3x ULN 61 106  50 14 896 55.0 (45.2, 64.4) 99.3 (99.2, 99.4) 36.5 (29.2, 44.3) 99.7 (99.6, 99.8)

*In the thoracic, abdominal, or pelvic regions – excluding head and neck.

FN, false negative; FP, false positive; NR, not reported; NPV, negative predictive value; PPV, positive predictive value; SN, sensitivity; SP, specificity; TN, true negative; TP, true positive; ULN, upper limit of normal.

In contrast, no combination of laboratory derangements studied was useful in identifying paraganglioma in the head and neck region. There were no true positive cases associated with elevated metanephrine or normetanephrine measures. Excluding paragangliomas of the head and neck, the presence of either a ‘metanephrine >two-fold higher than the upper limit of normal or normetanephrine >three-fold higher than the upper limit of normal’, or ‘metanephrine >three-fold higher than the upper limit of normal or normetanephrine >three-fold higher than the upper limit of normal’ had similar sensitivities (59.5 and 55.0%, respectively) and PPVs (33.7 and 36.5%, respectively) in identifying tumors in the thoracic, abdominal, and pelvic areas. These lesions were present in 0.73% of all individuals screened.

Detection with diagnostic codes

Pheochromocytoma and paraganglioma were rare, altogether present in only 0.005% of all residents of the province. Common to all tumors, the algorithm of ‘1 hospitalization or 2 physician claims’ had the best performance characteristics (Table 4). This algorithm was associated with a sensitivity of 82.4, 82.2, and 86.0% for identifying cases of pheochromocytoma, paraganglioma in the head and neck region, and pheochromocytoma or non-head and neck paraganglioma, respectively, while maintaining a PPV of at least 20%.

Table 4

Performance of administrative data in identifying people with verified cases of pheochromocytoma (PHEO) and/or paraganglioma (PG) in Alberta, Canada.

Algorithm DP* SN (95% CI) SP (95% CI) PPV (95% CI) NPV (95% CI)
PHEO 0.002%
 1 physician claim 77.3 (68.7, 84.5) 100.0 (100.0, 100.0) 22.2 (18.3, 26.5) 100.0 (100.0, 100.0)
 2 physician claims 67.2 (58.0, 75.6) 100.0 (100.0, 100.0) 34.9 (28.8, 41.5) 100.0 (100.0, 100.0)
 1 hospitalization 51.3 (41.9, 60.5) 100.0 (100.0, 100.0) 21.5 (16.9, 26.7) 100.0 (100.0, 100.0)
 1 hospitalization or 2 physician claims 82.4 (74.3, 88.7) 100.0 (100.0, 100.0) 21.8 (18.1, 25.9) 100.0 (100.0, 100.0)
PG (head and neck) 0.002%
 1 physician claim 44.4 (34.0, 55.3) 100.0 (100.0, 100.0) 17.0 (12.5, 22.5) 100.0 (100.0, 100.0)
 2 physician claims 32.2 (22.8, 42.9) 100.0 (100.0, 100.0) 29.0 (20.4, 38.9) 100.0 (100.0, 100.0)
 1 hospitalization 75.6 (65.4, 84.0) 100.0 (100.0, 100.0) 70.8 (60.7, 79.7) 100.0 (100.0, 100.0)
 1 hospitalization or 2 physician claims 82.2 (72.7, 89.5) 100.0 (100.0, 100.0) 44.3 (36.6, 52.2) 100.0 (100.0, 100.0)
PHEO and/or PG (excluding head and neck)† 0.003%
 1 physician claim 74.7 (66.9, 81.4) 100.0 (100.0, 100.0) 21.1 (17.7, 24.8) 100.0 (100.0, 100.0)
 2 physician claims 64.0 (55.8, 71.7) 100.0 (100.0, 100.0) 34.5 (29.0, 40.4) 100.0 (100.0, 100.0)
 1 hospitalization 64.0 (55.8, 71.7) 100.0 (100.0, 100.0) 26.6 (22.1, 31.5) 100.0 (100.0, 100.0)
 1 hospitalization or 2 physician claims 86.0 (79.4, 91.1) 100.0 (100.0, 100.0) 23.4 (19.9, 27.2) 100.0 (100.0, 100.0)
PHEO and/or PG at any location 0.005%
 1 physician claim 54.0 (47.4, 60.4) 100.0 (100.0, 100.0) 24.3 (20.7, 28.2) 100.0 (100.0, 100.0)
 2 physician claims 43.9 (37.5, 50.5) 100.0 (100.0, 100.0) 37.8 (32.1, 43.8) 100.0 (100.0, 100.0)
 1 hospitalization 45.2 (38.8, 51.7) 100.0 (100.0, 100.0) 29.9 (25.2, 34.9) 100.0 (100.0, 100.0)
 1 hospitalization or 2 physician claims 62.8 (56.3, 68.9) 100.0 (100.0, 100.0) 27.2 (23.6, 31.2) 100.0 (100.0, 100.0)

*Population base was 5 196 368, representing the number of insured residents of Alberta who were beneficiaries of Alberta healthcare from the fiscal years 2012 to 2019; In the thoracic, extra-adrenal abdominal, or pelvic regions – excluding head and neck.

DP, disease prevalence; NA, not applicable; NPV, negative predictive value; PPV, positive predictive value; SN, sensitivity; SP, specificity.

Compared to the reference standard, the optimal algorithm based on laboratory data most closely approximated the true incidence of pheochromocytoma and paraganglioma at 0.54 cases per 100 000 people per year, whereas the use of diagnostic codes resulted in more than a two-fold higher incidence estimate of 1.51 cases per 100 000 people per year (Supplementary Fig. 2).

Discussion

In this study, the annual incidence of pheochromocytoma and paraganglioma was observed to be 0.6–0.7 cases per 100 000 people (or 6–7 cases per million people). Of note, the overall incidence calculated from 2012 to 2019 was likely an underestimate of the true rate (i.e. 0.7–0.9 cases per 100 000 people, as observed from year to year) because individuals who left the province were assumed to have remained disease-free for all 7 years. While admittedly rare, these tumors still occur more frequently than commonly believed, challenging previous dogma suggesting this condition is only present in around one in a million, and that no more than one case of pheochromocytoma or paraganglioma will be admitted to a large general hospital per year (10, 17). Here, at least a dozen cases were treated per year in each of the two largest tertiary care hospitals in the province (both serving a catchment of over 2 million people). We also found that laboratory and administrative data were relatively accurate in estimating incidence in our population, even with the high variability in the anatomical location, hormonal activity, and clinical presentation of these tumors, and therefore these serve as potential alternatives to facilitate ongoing surveillance.

Apart from the present study and another from the Netherlands (6), knowledge of the epidemiology of pheochromocytoma and paraganglioma is largely limited to reports from the 1960s to 1980s, as contemporaneous studies performed within the last 25 years are otherwise lacking. Historical incidence rates have been considerably lower than those observed here with most studies suggesting an annual incidence of approximately 0.2 cases of pheochromocytoma and paraganglioma per 100 000 people per year (7, 8, 10). These lower rates are likely subject to important differences in how cases were ascertained in older studies (e.g. with some relying on clinician recall (8, 9), certain studies using disease registries that may have been incomplete (8, 10), and others only sampling hospital-based or surgical records) (6, 7, 9). In contrast, using a combination of multiple high-quality data sources with province-wide linkage, we were able to ensure complete capture of all clinical encounters in a geographically well-defined population, thus minimizing the chance of missed cases. While we observed a slightly lower rate of pheochromocytoma and paraganglioma in our diverse population compared to those reported from the Mayo Clinic in Rochester, Minnesota (i.e. 0.95 cases per 100 000 people per year) (11) and the Netherlands (i.e. 0.94 cases per 100 000 person per year) (6), this may simply reflect the fact that these later studies were conducted in selected populations at greater risk of disease (i.e. the Mayo Clinic being a high-referral center and the people of the Netherlands potentially harboring a greater rate of associated genetic abnormalities) (18). Moreover, we found that pheochromocytomas accounted for only half of all tumors and this was proportionately less than expected. Most likely, this was because head and neck paragangliomas (e.g. jugulotympanic tumors, carotid body tumors, and glomus vagale tumors), which have not been systematically included in previous epidemiological studies but were included here, accounted for more than one-third of all our cases. Our findings also suggest that most contemporary cases of pheochromocytoma and paraganglioma are detected during life rather than after death (as was the case in the past where up to half of diagnoses were made post-mortem) suggesting an increased global awareness of these tumors and improvements in diagnostic practices over time (6, 8, 19, 20, 21). Finally, we found that among children, there was a slight male preponderance of pheochromocytoma and paraganglioma (22). In adults, incidence generally climbed with age with females more commonly affected than males (6, 8, 10). Altogether, the present study is consistent with previous work, and provides a more refined estimate of the true incidence of pheochromocytoma and paraganglioma in an unselected population.

Given the high cost and labor needed to perform manual chart review to confirm each case of pheochromocytoma and paraganglioma in the population with the traditional method of determining incidence, we recognized the need for a more sustainable approach. Accordingly, in a universal healthcare system, routinely collected laboratory and administrative data can be leveraged for population-based evaluations of disease burden (13, 15). We demonstrated that there was reasonable diagnostic agreement between the case definitions developed from laboratory and administrative data, and our reference standard. The principal advantage of using laboratory and administrative data was that these were considerably less costly to acquire and more efficient to analyze compared to manual chart review. The main disadvantage of these data related to the rarity of pheochromocytoma and paraganglioma, leading to a high false-positive rate (23, 24, 25), as was directly reflected by the modest sensitivities and PPVs of the derived algorithms, and correspondingly wide 95% CIs. Still, while the aforementioned data sources were somewhat less accurate, the predicted estimates of pheochromocytoma and paraganglioma incidence appeared broadly similar to those expected, and therefore generally sufficient for the purposes of disease surveillance (26, 27, 28). This method of surveillance not only helps to quantify disease burden, but also defines a population where relevant process and outcome measures can be explored (e.g. examination of regional variations in treatment). Though not directly used in clinical care, such algorithms have been successfully applied to identify other medical conditions to facilitate population-based research and largescale surveillance (13, 15, 29).

There are many strengths of our study (i.e. we identified a large cohort drawn from an ethnically and sociodemographically diverse population with complete capture of all clinical encounters; by using multiple linked high-quality data sources, we were less susceptible to responder biases; and, we were able to validate multiple algorithms based on laboratory and administrative data for case detection with an independent reference standard). Our study was subject to certain limitations. First, it is possible that some people with pheochromocytoma or paraganglioma could have been overlooked if an individual had no relevant healthcare encounters. Addressing this, we reviewed all available autopsy reports, but it was impossible to ensure that there was complete case ascertainment, as the provincial autopsy rate was only around 7% (https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310071601&pickMembers%5B0%5D=1.10; accessed June 5, 2020). While estimated incidence rates may have been subject to some degree of misclassification, this would have likely been small. While it was not possible to absolutely confirm the true negative rate in the population, it was unlikely that clinically significant cases were missed. Second, we collectively grouped pheochromocytoma and paraganglioma together, even though important clinical differences may exist with respect to hormonal function, disease trajectory, and prognosis. As such, we tried to classify tumors according to their anatomical locations. We were unable to reliably determine, particularly in the case of paraganglioma of the head and neck region, if these arose from the sympathetic or parasympathetic chains. Nevertheless, non-functional tumors are still clinically important to detect as they pose a risk of local invasion, mass effect, and even distant metastasis. Finally, we did not have some information that would have been relevant for our study, including individual ethnicity (though population census profiles are available; https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/details/page.cfm?Lang=E&Geo1=PR&Code1=48&Geo2=PR&Code2=01&Data=Count&SearchText=alberta&SearchType=Begins&SearchPR=01&B1=All&TABID=1; accessed June 5, 2020), related comorbidities, and the presence of germline mutations. These data are relevant because at least 18 susceptible genes have been reported to increase the risk of pheochromocytoma and paraganglioma (e.g. NF1, RET, VHL, SDHA, SDHB, SDHC, SDHD, etc.) with some of these potentially occurring more frequently in certain ethnic groups than others due to the presence of founder mutations (30). Further study is needed to improve our understanding of the association between ethnicity, pheochromocytoma, and paraganglioma so that the risks of developing disease can be better defined and personalized surveillance strategies can be established for affected kindreds.

In conclusion, the frequency of pheochromocytoma and paraganglioma in the general population of western Canada was unexpectedly high relative to many other jurisdictions (7, 8, 10), posing important clinical implications. As pheochromocytoma and paragangliomas are commonly associated with high rates of inherited predisposition, our results may indicate an even higher burden of undiagnosed tumors in asymptomatic and unscreened family members. In light of the significant risks to morbidity and mortality posed by pheochromocytoma and paraganglioma, accurate monitoring is needed for risk management, to identify important prognostic factors, to guide policy for relevant care pathways, and to meaningfully inform the use of clinical resources for affected patients. Accordingly, population-based data represent valuable assets for those seeking to evaluate the burden of disease, delivery of care, and outcomes for affected patients.

Supplementary materials

This is linked to the online version of the paper at https://doi.org/10.1530/EJE-20-0628.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of this study.

Funding

Alexander A Leung is supported by the Hypertension Canada New Investigator Award.

References

  • 1

    Lenders JW, Duh QY, Eisenhofer G, Gimenez-Roqueplo AP, Grebe SK, Murad MH, Naruse M, Pacak K, Young Jr WFEndocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. Journal of Clinical Endocrinology and Metabolism 2014 99 19151942. (https://doi.org/10.1210/jc.2014-1498)

    • Search Google Scholar
    • Export Citation
  • 2

    Stolk RF, Bakx C, Mulder J, Timmers HJ & Lenders JW Is the excess cardiovascular morbidity in pheochromocytoma related to blood pressure or to catecholamines? Journal of Clinical Endocrinology and Metabolism 2013 98 11001106. (https://doi.org/10.1210/jc.2012-3669)

    • Search Google Scholar
    • Export Citation
  • 3

    Scholten A, Cisco RM, Vriens MR, Cohen JK, Mitmaker EJ, Liu C, Tyrrell JB, Shen WT & Duh QY Pheochromocytoma crisis is not a surgical emergency. Journal of Clinical Endocrinology and Metabolism 2013 98 581591. (https://doi.org/10.1210/jc.2012-3020)

    • Search Google Scholar
    • Export Citation
  • 4

    Kiernan CM & Solorzano CC Pheochromocytoma and paraganglioma: diagnosis, genetics, and treatment. Surgical Oncology Clinics of North America 2016 25 119138. (https://doi.org/10.1016/j.soc.2015.08.006)

    • Search Google Scholar
    • Export Citation
  • 5

    Neumann HPH, Young Jr WF & Eng C Pheochromocytoma and paraganglioma. New England Journal of Medicine 2019 381 552565. (https://doi.org/10.1056/NEJMra1806651)

    • Search Google Scholar
    • Export Citation
  • 6

    Berends AMA, Buitenwerf E, de Krijger RR, Veeger NJGM, van der Horst-Schrivers ANA, Links TP & Kerstens MN Incidence of pheochromocytoma and sympathetic paraganglioma in the Netherlands: a nationwide study and systematic review. European Journal of Internal Medicine 2018 51 6873. (https://doi.org/10.1016/j.ejim.2018.01.015)

    • Search Google Scholar
    • Export Citation
  • 7

    Andersen GS, Toftdahl DB, Lund JO, Strandgaard S & Nielsen PE The incidence rate of phaeochromocytoma and Conn’s syndrome in Denmark, 1977–1981. Journal of Human Hypertension 1988 2 187189.

    • Search Google Scholar
    • Export Citation
  • 8

    Stenstrom G & Svardsudd K Pheochromocytoma in Sweden 1958–1981. An analysis of the National Cancer Registry Data. Acta Medica Scandinavica 1986 220 225232.

    • Search Google Scholar
    • Export Citation
  • 9

    De Graeff J & Horak BJ The incidence of phaeochromocytoma in the Netherlands. Acta Medica Scandinavica 1964 176 583593. (https://doi.org/10.1111/j.0954-6820.1964.tb00661.x)

    • Search Google Scholar
    • Export Citation
  • 10

    Fernandez-Calvet L & Garcia-Mayor RV Incidence of pheochromocytoma in South Galicia, Spain. Journal of Internal Medicine 1994 236 675677. (https://doi.org/10.1111/j.1365-2796.1994.tb00861.x)

    • Search Google Scholar
    • Export Citation
  • 11

    Beard CM, Sheps SG, Kurland LT, Carney JA & Lie JT Occurrence of pheochromocytoma in Rochester, Minnesota, 1950 through 1979. Mayo Clinic Proceedings 1983 58 802804.

    • Search Google Scholar
    • Export Citation
  • 12

    Quan H, Chen G, Walker RL, Wielgosz A, Dai S, Tu K, Campbell NR, Hemmelgarn BR, Hill MD & Johansen H et al. Incidence, cardiovascular complications and mortality of hypertension by sex and ethnicity. Heart 2013 99 715721. (https://doi.org/10.1136/heartjnl-2012-303152)

    • Search Google Scholar
    • Export Citation
  • 13

    Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, Hill MD, Ghali WA, McAlister FAHypertension Outcome and Surveillance Team of the Canadian Hypertension Education Programs. Validation of a case definition to define hypertension using administrative data. Hypertension 2009 54 14231428. (https://doi.org/10.1161/HYPERTENSIONAHA.109.139279)

    • Search Google Scholar
    • Export Citation
  • 14

    Weaver CG, Clement FM, Campbell NR, James MT, Klarenbach SW, Hemmelgarn BR, Tonelli M, McBrien KAAlberta Kidney Disease Network and the Interdisciplinary Chronic Disease Collaboration. Healthcare costs attributable to hypertension: Canadian population-based cohort study. Hypertension 2015 66 502508. (https://doi.org/10.1161/HYPERTENSIONAHA.115.05702)

    • Search Google Scholar
    • Export Citation
  • 15

    Hux JE, Ivis F, Flintoft V & Bica A Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 2002 25 512516. (https://doi.org/10.2337/diacare.25.3.512)

    • Search Google Scholar
    • Export Citation
  • 16

    Brain KL, Kay J & Shine B Measurement of urinary metanephrines to screen for pheochromocytoma in an unselected hospital referral population. Clinical Chemistry 2006 52 20602064. (https://doi.org/10.1373/clinchem.2006.070805)

    • Search Google Scholar
    • Export Citation
  • 17

    Karet FE & Brown MJ Phaeochromocytoma: diagnosis and management. Postgraduate Medical Journal 1994 70 326328. (https://doi.org/10.1136/pgmj.70.823.326)

    • Search Google Scholar
    • Export Citation
  • 18

    Baysal BE & Maher ER 15 YEARS OF PARAGANGLIOMA: Genetics and mechanism of pheochromocytoma-paraganglioma syndromes characterized by germline SDHB and SDHD mutations. Endocrine-Related Cancer 2015 22 T71T 82. (https://doi.org/10.1530/ERC-15-0226)

    • Search Google Scholar
    • Export Citation
  • 19

    Beard CM, Carney JA, Sheps SG, Lie JT & Kurland LT Incidence of phaeochromocytoma. Journal of Human Hypertension 1989 3 481.

  • 20

    McNeil AR, Blok BH, Koelmeyer TD, Burke MP & Hilton JM Phaeochromocytomas discovered during coronial autopsies in Sydney, Melbourne and Auckland. Aust. Australian and New Zealand Journal of Medicine 2000 30 648652. (https://doi.org/10.1111/j.1445-5994.2000.tb04358.x)

    • Search Google Scholar
    • Export Citation
  • 21

    Sutton MG, Sheps SG & Lie JT Prevalence of clinically unsuspected pheochromocytoma. Review of a 50-year autopsy series. Mayo Clinic Proceedings 1981 56 354360. (https://doi.org/10.1016/S0022-5347(1753807-0)

    • Search Google Scholar
    • Export Citation
  • 22

    Sarathi V Characteristics of pediatric pheochromocytoma/paraganglioma. Indian Journal of Endocrinology and Metabolism 2017 21 470474. (https://doi.org/10.4103/ijem.IJEM_558_16)

    • Search Google Scholar
    • Export Citation
  • 23

    Eisenhofer G, Goldstein DS, Walther MM, Friberg P, Lenders JW, Keiser HR & Pacak K Biochemical diagnosis of pheochromocytoma: how to distinguish true- from false-positive test results. Journal of Clinical Endocrinology and Metabolism 2003 88 26562666. (https://doi.org/10.1210/jc.2002-030005)

    • Search Google Scholar
    • Export Citation
  • 24

    Eisenhofer G & Peitzsch M Laboratory evaluation of pheochromocytoma and paraganglioma. Clinical Chemistry 2014 60 14861499. (https://doi.org/10.1373/clinchem.2014.224832)

    • Search Google Scholar
    • Export Citation
  • 25

    Eisenhofer G Screening for pheochromocytomas and paragangliomas. Current Hypertension Reports 2012 14 130137. (https://doi.org/10.1007/s11906-012-0246-y)

    • Search Google Scholar
    • Export Citation
  • 26

    Boyd J, Leung AA, Sadrzadeh HS, Pamporaki C, Pacak K, Deutschbein T, Fliedner S & Kline GA A high rate of modestly elevated plasma normetanephrine in a population referred for suspected PPGL when measured in a seated position. European Journal of Endocrinology 2019 181 301309. (https://doi.org/10.1530/EJE-19-0176)

    • Search Google Scholar
    • Export Citation
  • 27

    Kline GA, Boyd J, Leung AA, Tang A & Sadrzadeh HM Moderate renal impairment does not preclude the accuracy of 24 hour urine normetanephrine measurements for suspected pheochromoctyoma. Clinical Endocrinology 2020 92 518524. (https://doi.org/10.1111/cen.14180)

    • Search Google Scholar
    • Export Citation
  • 28

    Kline GA, Boyd J, Leung AA, Tang A & Sadrzadeh HM Very high rate of false positive biochemical results when screening for pheochromocytoma in a large, undifferentiated population with variable indications for testing. Clinical Biochemistry 2020 77 2631. (https://doi.org/10.1016/j.clinbiochem.2020.01.005)

    • Search Google Scholar
    • Export Citation
  • 29

    Tonelli M, Wiebe N, Fortin M, Guthrie B, Hemmelgarn BR, James MT, Klarenbach SW, Lewanczuk R, Manns BJ & Ronksley P et al. Methods for identifying 30 chronic conditions: application to administrative data. BMC Medical Informatics and Decision Making 2015 15 31. (https://doi.org/10.1186/s12911-015-0155-5)

    • Search Google Scholar
    • Export Citation
  • 30

    Neumann HP, Young Jr WF, Krauss T, Bayley JP, Schiavi F, Opocher G, Boedeker CC, Tirosh A, Castinetti F & Ruf J et al. 65 YEARS OF THE DOUBLE HELIX: Genetics informs precision practice in the diagnosis and management of pheochromocytoma. Endocrine-Related Cancer 2018 25 T201T219. (https://doi.org/10.1530/ERC-18-0085)

    • Search Google Scholar
    • Export Citation

 

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    Figure 1

    Incidence of pheochromocytoma or paraganglioma (Panel A), pheochromocytoma (Panel B), and paraganglioma (Panel C) according to age and sex strata. The population census from July 1, 2018 was used to represent the average size and demographics of the province over the 7-year period. Men are represented in blue and women in red.

  • 1

    Lenders JW, Duh QY, Eisenhofer G, Gimenez-Roqueplo AP, Grebe SK, Murad MH, Naruse M, Pacak K, Young Jr WFEndocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. Journal of Clinical Endocrinology and Metabolism 2014 99 19151942. (https://doi.org/10.1210/jc.2014-1498)

    • Search Google Scholar
    • Export Citation
  • 2

    Stolk RF, Bakx C, Mulder J, Timmers HJ & Lenders JW Is the excess cardiovascular morbidity in pheochromocytoma related to blood pressure or to catecholamines? Journal of Clinical Endocrinology and Metabolism 2013 98 11001106. (https://doi.org/10.1210/jc.2012-3669)

    • Search Google Scholar
    • Export Citation
  • 3

    Scholten A, Cisco RM, Vriens MR, Cohen JK, Mitmaker EJ, Liu C, Tyrrell JB, Shen WT & Duh QY Pheochromocytoma crisis is not a surgical emergency. Journal of Clinical Endocrinology and Metabolism 2013 98 581591. (https://doi.org/10.1210/jc.2012-3020)

    • Search Google Scholar
    • Export Citation
  • 4

    Kiernan CM & Solorzano CC Pheochromocytoma and paraganglioma: diagnosis, genetics, and treatment. Surgical Oncology Clinics of North America 2016 25 119138. (https://doi.org/10.1016/j.soc.2015.08.006)

    • Search Google Scholar
    • Export Citation
  • 5

    Neumann HPH, Young Jr WF & Eng C Pheochromocytoma and paraganglioma. New England Journal of Medicine 2019 381 552565. (https://doi.org/10.1056/NEJMra1806651)

    • Search Google Scholar
    • Export Citation
  • 6

    Berends AMA, Buitenwerf E, de Krijger RR, Veeger NJGM, van der Horst-Schrivers ANA, Links TP & Kerstens MN Incidence of pheochromocytoma and sympathetic paraganglioma in the Netherlands: a nationwide study and systematic review. European Journal of Internal Medicine 2018 51 6873. (https://doi.org/10.1016/j.ejim.2018.01.015)

    • Search Google Scholar
    • Export Citation
  • 7

    Andersen GS, Toftdahl DB, Lund JO, Strandgaard S & Nielsen PE The incidence rate of phaeochromocytoma and Conn’s syndrome in Denmark, 1977–1981. Journal of Human Hypertension 1988 2 187189.

    • Search Google Scholar
    • Export Citation
  • 8

    Stenstrom G & Svardsudd K Pheochromocytoma in Sweden 1958–1981. An analysis of the National Cancer Registry Data. Acta Medica Scandinavica 1986 220 225232.

    • Search Google Scholar
    • Export Citation
  • 9

    De Graeff J & Horak BJ The incidence of phaeochromocytoma in the Netherlands. Acta Medica Scandinavica 1964 176 583593. (https://doi.org/10.1111/j.0954-6820.1964.tb00661.x)

    • Search Google Scholar
    • Export Citation
  • 10

    Fernandez-Calvet L & Garcia-Mayor RV Incidence of pheochromocytoma in South Galicia, Spain. Journal of Internal Medicine 1994 236 675677. (https://doi.org/10.1111/j.1365-2796.1994.tb00861.x)

    • Search Google Scholar
    • Export Citation
  • 11

    Beard CM, Sheps SG, Kurland LT, Carney JA & Lie JT Occurrence of pheochromocytoma in Rochester, Minnesota, 1950 through 1979. Mayo Clinic Proceedings 1983 58 802804.

    • Search Google Scholar
    • Export Citation
  • 12

    Quan H, Chen G, Walker RL, Wielgosz A, Dai S, Tu K, Campbell NR, Hemmelgarn BR, Hill MD & Johansen H et al. Incidence, cardiovascular complications and mortality of hypertension by sex and ethnicity. Heart 2013 99 715721. (https://doi.org/10.1136/heartjnl-2012-303152)

    • Search Google Scholar
    • Export Citation
  • 13

    Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, Hill MD, Ghali WA, McAlister FAHypertension Outcome and Surveillance Team of the Canadian Hypertension Education Programs. Validation of a case definition to define hypertension using administrative data. Hypertension 2009 54 14231428. (https://doi.org/10.1161/HYPERTENSIONAHA.109.139279)

    • Search Google Scholar
    • Export Citation
  • 14

    Weaver CG, Clement FM, Campbell NR, James MT, Klarenbach SW, Hemmelgarn BR, Tonelli M, McBrien KAAlberta Kidney Disease Network and the Interdisciplinary Chronic Disease Collaboration. Healthcare costs attributable to hypertension: Canadian population-based cohort study. Hypertension 2015 66 502508. (https://doi.org/10.1161/HYPERTENSIONAHA.115.05702)

    • Search Google Scholar
    • Export Citation
  • 15

    Hux JE, Ivis F, Flintoft V & Bica A Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 2002 25 512516. (https://doi.org/10.2337/diacare.25.3.512)

    • Search Google Scholar
    • Export Citation
  • 16

    Brain KL, Kay J & Shine B Measurement of urinary metanephrines to screen for pheochromocytoma in an unselected hospital referral population. Clinical Chemistry 2006 52 20602064. (https://doi.org/10.1373/clinchem.2006.070805)

    • Search Google Scholar
    • Export Citation
  • 17

    Karet FE & Brown MJ Phaeochromocytoma: diagnosis and management. Postgraduate Medical Journal 1994 70 326328. (https://doi.org/10.1136/pgmj.70.823.326)

    • Search Google Scholar
    • Export Citation
  • 18

    Baysal BE & Maher ER 15 YEARS OF PARAGANGLIOMA: Genetics and mechanism of pheochromocytoma-paraganglioma syndromes characterized by germline SDHB and SDHD mutations. Endocrine-Related Cancer 2015 22 T71T 82. (https://doi.org/10.1530/ERC-15-0226)

    • Search Google Scholar
    • Export Citation
  • 19

    Beard CM, Carney JA, Sheps SG, Lie JT & Kurland LT Incidence of phaeochromocytoma. Journal of Human Hypertension 1989 3 481.

  • 20

    McNeil AR, Blok BH, Koelmeyer TD, Burke MP & Hilton JM Phaeochromocytomas discovered during coronial autopsies in Sydney, Melbourne and Auckland. Aust. Australian and New Zealand Journal of Medicine 2000 30 648652. (https://doi.org/10.1111/j.1445-5994.2000.tb04358.x)

    • Search Google Scholar
    • Export Citation
  • 21

    Sutton MG, Sheps SG & Lie JT Prevalence of clinically unsuspected pheochromocytoma. Review of a 50-year autopsy series. Mayo Clinic Proceedings 1981 56 354360. (https://doi.org/10.1016/S0022-5347(1753807-0)

    • Search Google Scholar
    • Export Citation
  • 22

    Sarathi V Characteristics of pediatric pheochromocytoma/paraganglioma. Indian Journal of Endocrinology and Metabolism 2017 21 470474. (https://doi.org/10.4103/ijem.IJEM_558_16)

    • Search Google Scholar
    • Export Citation
  • 23

    Eisenhofer G, Goldstein DS, Walther MM, Friberg P, Lenders JW, Keiser HR & Pacak K Biochemical diagnosis of pheochromocytoma: how to distinguish true- from false-positive test results. Journal of Clinical Endocrinology and Metabolism 2003 88 26562666. (https://doi.org/10.1210/jc.2002-030005)

    • Search Google Scholar
    • Export Citation
  • 24

    Eisenhofer G & Peitzsch M Laboratory evaluation of pheochromocytoma and paraganglioma. Clinical Chemistry 2014 60 14861499. (https://doi.org/10.1373/clinchem.2014.224832)

    • Search Google Scholar
    • Export Citation
  • 25

    Eisenhofer G Screening for pheochromocytomas and paragangliomas. Current Hypertension Reports 2012 14 130137. (https://doi.org/10.1007/s11906-012-0246-y)

    • Search Google Scholar
    • Export Citation
  • 26

    Boyd J, Leung AA, Sadrzadeh HS, Pamporaki C, Pacak K, Deutschbein T, Fliedner S & Kline GA A high rate of modestly elevated plasma normetanephrine in a population referred for suspected PPGL when measured in a seated position. European Journal of Endocrinology 2019 181 301309. (https://doi.org/10.1530/EJE-19-0176)

    • Search Google Scholar
    • Export Citation
  • 27

    Kline GA, Boyd J, Leung AA, Tang A & Sadrzadeh HM Moderate renal impairment does not preclude the accuracy of 24 hour urine normetanephrine measurements for suspected pheochromoctyoma. Clinical Endocrinology 2020 92 518524. (https://doi.org/10.1111/cen.14180)

    • Search Google Scholar
    • Export Citation
  • 28

    Kline GA, Boyd J, Leung AA, Tang A & Sadrzadeh HM Very high rate of false positive biochemical results when screening for pheochromocytoma in a large, undifferentiated population with variable indications for testing. Clinical Biochemistry 2020 77 2631. (https://doi.org/10.1016/j.clinbiochem.2020.01.005)

    • Search Google Scholar
    • Export Citation
  • 29

    Tonelli M, Wiebe N, Fortin M, Guthrie B, Hemmelgarn BR, James MT, Klarenbach SW, Lewanczuk R, Manns BJ & Ronksley P et al. Methods for identifying 30 chronic conditions: application to administrative data. BMC Medical Informatics and Decision Making 2015 15 31. (https://doi.org/10.1186/s12911-015-0155-5)

    • Search Google Scholar
    • Export Citation
  • 30

    Neumann HP, Young Jr WF, Krauss T, Bayley JP, Schiavi F, Opocher G, Boedeker CC, Tirosh A, Castinetti F & Ruf J et al. 65 YEARS OF THE DOUBLE HELIX: Genetics informs precision practice in the diagnosis and management of pheochromocytoma. Endocrine-Related Cancer 2018 25 T201T219. (https://doi.org/10.1530/ERC-18-0085)

    • Search Google Scholar
    • Export Citation