Inpatient prevalence and factors associated with Merkel Cell Carcinoma inpatient hospitalization in the United States.
Humans
Carcinoma, Merkel Cell
/ epidemiology
United States
/ epidemiology
Male
Female
Aged
Skin Neoplasms
/ epidemiology
Hospitalization
/ statistics & numerical data
Prevalence
Middle Aged
Aged, 80 and over
Inpatients
/ statistics & numerical data
Medicare
/ statistics & numerical data
Risk Factors
Adult
Hospital Mortality
Epidemiology
Medicare
Merkel cell carcinoma
Sociodemographic
Socioeconomic
Journal
Archives of dermatological research
ISSN: 1432-069X
Titre abrégé: Arch Dermatol Res
Pays: Germany
ID NLM: 8000462
Informations de publication
Date de publication:
27 Jul 2024
27 Jul 2024
Historique:
received:
07
05
2024
accepted:
06
07
2024
revised:
16
06
2024
medline:
28
7
2024
pubmed:
28
7
2024
entrez:
27
7
2024
Statut:
epublish
Résumé
Merkel Cell Carcinoma is a rare and aggressive cutaneous carcinoma with a propensity for metastasis and death. Our study describes the prevalence, sociodemographics and inpatient mortality of Merkel Cell Carcinoma related hospitalizations in the United States from 2011 to 2020. We conducted an observational study using the Nationwide Inpatient Sample database, which captures a 20% sample of all hospitalizations in the United States. We utilized the International Classification of Disease Clinical Modification codes from the ninth and tenth revision to identify Merkel Cell Carcinoma and demographic factors. There was a total of 28,809 cases of Merkel Cell Carcinoma in the United States from 2011 to 2020. Merkel Cell Carcinoma was associated with white race (11.4 per 100,000) and disposition of death (26.8 per 100,000). It was most prevalent in the highest quartile income (12.5 per 100,000) and Medicare as primary payer (13.0 per 100,000). Hospitalization was lowest in nonwhite races, particularly NH-Blacks and NH-Others. Inpatient mortality was significantly associated with NH-Others (odds ratio 2.18, 95% confidence interval = 1.38-3.45) and self-pay patients (odds ratio = 2.93, 95% confidence interval 1.84-4.67).This study contributes to reported socio-demographic factors related to Merkel Cell Carcinomas and brings awareness to factors associated with increased hospitalization and inpatient mortality.
Identifiants
pubmed: 39066821
doi: 10.1007/s00403-024-03222-7
pii: 10.1007/s00403-024-03222-7
doi:
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
489Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Tilling T, Moll I (2012) Which are the cells of origin in Merkel Cell Carcinoma. J Skin Cancer 2012:1–6. https://doi.org/10.1155/2012/680410
doi: 10.1155/2012/680410
Uchi H (2018) Merkel Cell Carcinoma: an update and immunotherapy. Front Oncol 8. https://doi.org/10.3389/fonc.2018.00048
Silling S, Kreuter A, Gambichler T, Meyer T, Stockfleth E, Wieland U (2022) Epidemiology of Merkel Cell Polyomavirus infection and Merkel Cell Carcinoma. Cancers 14(24):6176. https://doi.org/10.3390/cancers14246176
doi: 10.3390/cancers14246176
pubmed: 36551657
pmcid: 9776808
Paulson KG, Park SY, Vandeven NA et al (2018) Merkel cell carcinoma: current US incidence and projected increases based on changing demographics. J Am Acad Dermatol 78(3):457–463e2. https://doi.org/10.1016/j.jaad.2017.10.028
doi: 10.1016/j.jaad.2017.10.028
pubmed: 29102486
Oliveira S, Campos-do-Carmo G, Santos C, Martins CR (2023) Merkel cell carcinoma: epidemiology, clinical features, diagnosis and treatment of a rare disease. An Bras Dermatol 98(3):277–286. https://doi.org/10.1016/j.abd.2022.09.003
doi: 10.1016/j.abd.2022.09.003
Amaral T, Leiter U, Garbe C (2017) Merkel cell carcinoma: epidemiology, pathogenesis, diagnosis and therapy. Rev Endocr Metab Disord 18(4):517–532. https://doi.org/10.1007/s11154-017-9433-0
doi: 10.1007/s11154-017-9433-0
pubmed: 28916903
Brady M, Spiker AM (2024) Merkel Cell Carcinoma of the skin. StatPearls. StatPearls Publishing, Treasure Island (FL)
HCUP Nationwide Inpatient Sample (NIS) (2023) Healthcare Cost and Utilization Project (HCUP). Agency for Healthcare Research and Quality, Rockville, MD, www.hcup-us.ahrq.gov/nisoverview.jsp ; 2011–2020
Meier SK, Pollock BD, Kurtz SM, Lau E, State, Government Administrative Databases (2022) Medicare, National Inpatient Sample (NIS), and State Inpatient databases (SID) Programs. J Bone Joint Surg Am 104(Suppl 3):4–8. https://doi.org/10.2106/JBJS.22.00620
doi: 10.2106/JBJS.22.00620
pubmed: 36260036
Zwijnenburg EM, Lubeek SFK, Werner JEM et al (2021) Merkel Cell Carcinoma: New Trends Cancers 13(7):1614. https://doi.org/10.3390/cancers13071614
doi: 10.3390/cancers13071614
pubmed: 33807446
Yaghi M, Benedetto P, Greskovich J et al (2022) Merkel cell carcinoma: Epidemiology, disease presentation, and current clinical practice outcomes. JAAD Int 9:128–136. https://doi.org/10.1016/j.jdin.2022.06.004
doi: 10.1016/j.jdin.2022.06.004
pubmed: 36262427
pmcid: 9574710
Schadendorf D, Lebbé C, Zur Hausen A et al (2017) Merkel cell carcinoma: Epidemiology, prognosis, therapy and unmet medical needs. Eur J Cancer 71:53–69. https://doi.org/10.1016/j.ejca.2016.10.022
doi: 10.1016/j.ejca.2016.10.022
pubmed: 27984768
Robinson CG, Tan D, Yu SS (2019) Recent advances in Merkel cell carcinoma. F1000Res 8. https://doi.org/10.12688/f1000research.20747.1
Jalilian C, Chamberlain AJ, Haskett M et al (2013) Clinical and dermoscopic characteristics of Merkel cell carcinoma. Br J Dermatol 169(2):294–297. https://doi.org/10.1111/bjd.12376
doi: 10.1111/bjd.12376
pubmed: 23574613
Salemi F, Reza M, Shokouh Taghipour Zahir S, Soroush S (2023) Near missed diagnosis of Merkel cell carcinoma in a young immunocompetent woman with a recurrent left-arm mass: a case report. Clin Case Rep 11(7). https://doi.org/10.1002/ccr3.7587
Trofymenko O, Zeitouni NC, Kurtzman DJB (2018) Factors associated with advanced-stage Merkel cell carcinoma at initial diagnosis and the use of radiation therapy: results from the National Cancer Database. J Am Acad Dermatol 79(4):680–688. https://doi.org/10.1016/j.jaad.2018.03.01
doi: 10.1016/j.jaad.2018.03.01
pubmed: 29574087
Madankumar R, Criscito MC, Martires KJ, Stein JA (2017) A population-based cohort study of the influence of socioeconomic factors and race on survival in Merkel cell carcinoma. J Am Acad Dermatol 76(1):166–167. https://doi.org/10.1016/j.jaad.2016.07.059
doi: 10.1016/j.jaad.2016.07.059
pubmed: 27986144
Marani M, Tripathi R, Scott JF (2022) Utilization of sentinel lymph node biopsy for Merkel cell carcinoma. J Am Acad Dermatol 87(6):1404–1406. https://doi.org/10.1016/j.jaad.2022.09.002
doi: 10.1016/j.jaad.2022.09.002
pubmed: 36084788
Moy AP, Zhou D, Chen J et al Merkel cell carcinoma among non-Caucasian patients: A retrospective case-control study. J Am Acad Dermatol. 2024 Apr 24:S0190-9622(24)00643-1. https://doi.org/10.1016/j.jaad.2024.04.028
Chang RC, Brunsgaard EK, Reid D (2024) Survival differences by socioeconomic status in Merkel cell carcinoma: A retrospective analysis using the National Cancer Database [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting. ; 2024 Apr 5–10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6107
Dickman SL, Gaffney A, McGregor A et al (2022) Trends in Health Care Use among Black and White persons in the US, 1963–2019. JAMA Netw Open 5(6):e2217383. https://doi.org/10.1001/jamanetworkopen.2022.17383
doi: 10.1001/jamanetworkopen.2022.17383
pubmed: 35699954
pmcid: 9198752
Serrano F, Blutinger EJ, Vargas-Torres C et al (2022) Racial and ethnic disparities in hospitalization and clinical outcomes among patients with COVID-19. West J Emerg Med 23(5). https://doi.org/10.5811/westjem.2022.3.53065
Creadore A, Desai S, Li SJ et al (2021) Insurance Acceptance, Appointment wait Time, and Dermatologist Access Across practice types in the US. JAMA Dermatol 157(2):181–188. https://doi.org/10.1001/jamadermatol.2020.5173
doi: 10.1001/jamadermatol.2020.5173
pubmed: 33439219
Voleti SS, Warsame R, Mead-Harvey C et al (2022) Assessing patient-reported financial hardship in patients with Cancer in Routine Clinical Care. JCO Oncol Pract 18(11):e1839–e1853. https://doi.org/10.1200/op.22.00276
doi: 10.1200/op.22.00276
pubmed: 36166729
McMaughan DJ, Oloruntoba O, Smith ML (2020) Socioeconomic Status and Access to Healthcare: interrelated drivers for healthy aging. Front Public Health 8:231. https://doi.org/10.3389/fpubh.2020.00231
doi: 10.3389/fpubh.2020.00231
pubmed: 32626678
pmcid: 7314918
Cella DF, Orav EJ, Kornblith AB et al (1991) Socioeconomic status and cancer survival. J Clin Oncol 9(8):1500–1509. https://doi.org/10.1200/jco.1991.9.8.1500
doi: 10.1200/jco.1991.9.8.1500
pubmed: 2072149
Feng H, Berk-Krauss J, Feng PW, Stein JA (2018) Comparison of Dermatologist Density between Urban and Rural counties in the United States. JAMA Dermatol 154(11):1265–1271. https://doi.org/10.1001/jamadermatol.2018.3022
doi: 10.1001/jamadermatol.2018.3022
pubmed: 30193349
pmcid: 6248119
Rosenthal MB, Zaslavsky A, Newhouse JP (2005) The geographic distribution of physicians revisited. Health Serv Res 40(6 Pt 1):1931–1952. https://doi.org/10.1111/j.1475-6773.2005.00440.x
doi: 10.1111/j.1475-6773.2005.00440.x
pubmed: 16336557
pmcid: 1361233
Yoo JY, Rigel DS (2010) Trends in dermatology: geographic density of US dermatologists. Arch Dermatol 146(7):779. https://doi.org/10.1001/archdermatol.2010.127
doi: 10.1001/archdermatol.2010.127
pubmed: 20644040
Criscito MC, Martires KJ, Stein JA (2017) A population-based cohort study on the association of dermatologist density and Merkel cell carcinoma survival. J Am Acad Dermatol 76(3):570–572. https://doi.org/10.1016/j.jaad.2016.10.043
doi: 10.1016/j.jaad.2016.10.043
pubmed: 28212766
Aneja S, Bordeaux JS (2012) Association of increased dermatologist density with lower melanoma mortality. Arch Dermatol 148(2):174–178. https://doi.org/10.1001/archdermatol.2011.345
doi: 10.1001/archdermatol.2011.345
pubmed: 22351816
Jain R, Menzin J, Lachance K, McBee P, Phatak H, Nghiem PT (2019) Travel burden associated with rare cancers: the example of Merkel cell carcinoma. Cancer Med 8(5):2580–2586. https://doi.org/10.1002/cam4.2085
doi: 10.1002/cam4.2085
pubmed: 30950224
pmcid: 6536956
Segel JE, Lengerich EJ (2020) Rural-urban differences in the association between individual, facility, and clinical characteristics and travel time for cancer treatment. BMC Public Health 20(1). https://doi.org/10.1186/s12889-020-8282-z