Age Distribution, Comorbidities and Risk Factors for Thrombosis in Prader-Willi Syndrome

被引:8
作者
Butler, Merlin G. [1 ,2 ]
Oyetunji, Aderonke [1 ,2 ,3 ]
Manzardo, Ann M. [1 ,2 ]
机构
[1] Univ Kansas, Med Ctr, Dept Psychiat & Behav Sci, Kansas City, KS 66160 USA
[2] Univ Kansas, Med Ctr, Dept Pediat, Kansas City, KS 66160 USA
[3] Truman Med Ctr, Dept Child Psychiat, Kansas City, MO 64108 USA
关键词
Prader-Willi syndrome; insurance health claims; thrombosis; pulmonary embolism; deep venous thrombosis; individuals with exogenous obesity; confirmatory ICD-9 diagnostic codes; MORTALITY; ASSOCIATION; OBESITY; PREVALENCE; HEALTH; DEATH;
D O I
10.3390/genes11010067
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Prader-Willi syndrome (PWS) is an imprinting disorder caused by lack of expression of the paternally inherited 15q11.2-q13 chromosome region. The risk of death from obesity-related complications can worsen with age, but survival trends are improving. Comorbidities and their complications such as thrombosis or blood clots and venous thromboembolism (VTE) are uncommon but reported in PWS. Two phases of analyses were conducted in our study: unadjusted and adjusted frequency with odds ratios and a regression analysis of risk factors. Individuals with PWS or non-PWS controls with exogenous obesity were identified by specific International Classification of Diseases (ICD)-9 diagnostic codes reported on more than one occasion to confirm the diagnosis of PWS or exogenous obesity in available national health claims insurance datasets. The overall average age or average age per age interval (0-17 year, 18-64 year, and 65 year+) and gender distribution in each population were similar in 3136 patients with PWS and 3945 non-PWS controls for comparison purposes, with exogenous obesity identified from two insurance health claims dataset sources (i.e., commercial and Medicare advantage or Medicaid). For example, 65.1% of the 3136 patients with PWS were less than 18 years old (subadults), 33.2% were 18-64 years old (adults), and 1.7% were 65 years or older. After adjusting for comorbidities that were identified with diagnostic codes, we found that commercially insured PWS individuals across all age cohorts were 2.55 times more likely to experience pulmonary embolism (PE) or deep vein thrombosis (DVT) than for obese controls (p-value: 0.013; confidence interval (CI): 1.22-5.32). Medicaid-insured individuals across all age cohorts with PWS were 0.85 times more likely to experience PE or DVT than obese controls (p-value: 0.60; CI: 0.46-1.56), with no indicated age difference. Age and gender were statistically significant predictors of VTEs, and they were independent of insurance coverage. There was an increase in occurrence of thrombotic events across all age cohorts within the PWS patient population when compared with their obese counterparts, regardless of insurance type.
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共 23 条
[1]   Why Summary Comorbidity Measures Such As the Charlson Comorbidity Index and Elixhauser Score Work [J].
Austin, Steven R. ;
Wong, Yu-Ning ;
Uzzo, Robert G. ;
Beck, J. Robert ;
Egleston, Brian L. .
MEDICAL CARE, 2015, 53 (09) :E65-E72
[2]   Atypical presentation of Prader-Willi syndrome with cerebral venous thrombosis: Association or Fortuity? [J].
Beretta, L. ;
Hauschild, M. ;
Jeannet, P. -Y. ;
Addor, M. -C. ;
Maeder, P. ;
Truttmann, A. C. .
NEUROPEDIATRICS, 2007, 38 (04) :204-206
[3]   Prevalence of, and risk factors for, physical ill-health in people with Prader-Willi syndrome: a population-based study [J].
Butler, JV ;
Whittington, JE ;
Holland, AJ ;
Boer, H ;
Clarke, D ;
Webb, T .
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2002, 44 (04) :248-255
[4]   Single Gene and Syndromic Causes of Obesity: Illustrative Examples [J].
Butler, M. G. .
GENETICS OF MONOGENIC AND SYNDROMIC OBESITY, 2016, 140 :1-45
[5]   Energy expenditure and phvsical activity in Prader-Willi syndrome: Comparison with obese subjects [J].
Butler, Merlin G. ;
Theodoro, Mariana F. ;
Bittel, Douglas C. ;
Donnelly, Joseph E. .
AMERICAN JOURNAL OF MEDICAL GENETICS PART A, 2007, 143A (05) :449-459
[6]   Molecular genetic classification in Prader-Willi syndrome: a multisite cohort study [J].
Butler, Merlin G. ;
Hartin, Samantha N. ;
Hossain, Waheeda A. ;
Manzardo, Ann M. ;
Kimonis, Virginia ;
Dykens, Elisabeth ;
Gold, June Anne ;
Kim, Soo-Jeong ;
Weisensel, Nicolette ;
Tamura, Roy ;
Miller, Jennifer L. ;
Driscoll, Daniel J. .
JOURNAL OF MEDICAL GENETICS, 2019, 56 (03) :149-153
[7]   Causes of death in Prader-Willi syndrome: Prader-Willi Syndrome Association (USA) 40-year mortality survey [J].
Butler, Merlin G. ;
Manzardo, Ann M. ;
Heinemann, Janalee ;
Loker, Carolyn ;
Loker, James .
GENETICS IN MEDICINE, 2017, 19 (06) :635-642
[8]   C-reactive protein levels in subjects with Prader-Willi syndrome and obesity [J].
Butler, MG ;
Bittel, DC ;
Kibiryeva, N ;
Garg, U .
GENETICS IN MEDICINE, 2006, 8 (04) :243-248
[9]   PRADER-WILLI SYNDROME - CURRENT UNDERSTANDING OF CAUSE AND DIAGNOSIS [J].
BUTLER, MG .
AMERICAN JOURNAL OF MEDICAL GENETICS, 1990, 35 (03) :319-332
[10]   Prader-Willi syndrome [J].
Cassidy, Suzanne B. ;
Schwartz, Stuart ;
Miller, Jennifer L. ;
Driscoll, Daniel J. .
GENETICS IN MEDICINE, 2012, 14 (01) :10-26