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Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review
Introduction: The incidence and significance of hyperparathyroidism in patients after bariatric surgery have been established to some degree; however, the impact it has on the national healthcare system has not. We sought to assess the risk of readmission and related comorbidities in this patient po...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580962/ https://www.ncbi.nlm.nih.gov/pubmed/33110721 http://dx.doi.org/10.7759/cureus.10585 |
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author | Qafiti, Fred N Lopez, Michael A Kichler, Kandace Parreco, Joshua Buicko, Jessica L |
author_facet | Qafiti, Fred N Lopez, Michael A Kichler, Kandace Parreco, Joshua Buicko, Jessica L |
author_sort | Qafiti, Fred N |
collection | PubMed |
description | Introduction: The incidence and significance of hyperparathyroidism in patients after bariatric surgery have been established to some degree; however, the impact it has on the national healthcare system has not. We sought to assess the risk of readmission and related comorbidities in this patient population. Methods: The Healthcare Cost and Utilization Project Nationwide Readmission Database was queried for all patients who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). Multivariate logistic regression analysis was conducted to identify factors associated with readmission for hyperparathyroidism. Results: A total of 915,792 patients between 2010 and 2015 were queried; 43.2% had undergone SG and 56.8% had RYGB. A total of 589 patients were readmitted for hyperparathyroidism; 80.8% were female and 68% had a Charlson comorbidity index ≥ 2. Factors associated with readmission were as follows: age 45-64 years (odds ratio [OR] 1.42, p=0.001), Medicare (OR 3.01, p<0.001) or Medicaid (OR 2.61, p<0.001) insurance status, lower median household income, renal failure (OR 17.14, p<0.001), hypertension (OR 2.89, p<0.001), and deficiency anemia (OR 2.62, p<0.01). Conclusions: Parathyroid axis monitoring may provide benefits to predictably high-risk patients. Appropriate surveillance may decrease the impact of bariatric hyperparathyroidism readmission on the U.S. healthcare system. |
format | Online Article Text |
id | pubmed-7580962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-75809622020-10-26 Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review Qafiti, Fred N Lopez, Michael A Kichler, Kandace Parreco, Joshua Buicko, Jessica L Cureus Endocrinology/Diabetes/Metabolism Introduction: The incidence and significance of hyperparathyroidism in patients after bariatric surgery have been established to some degree; however, the impact it has on the national healthcare system has not. We sought to assess the risk of readmission and related comorbidities in this patient population. Methods: The Healthcare Cost and Utilization Project Nationwide Readmission Database was queried for all patients who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). Multivariate logistic regression analysis was conducted to identify factors associated with readmission for hyperparathyroidism. Results: A total of 915,792 patients between 2010 and 2015 were queried; 43.2% had undergone SG and 56.8% had RYGB. A total of 589 patients were readmitted for hyperparathyroidism; 80.8% were female and 68% had a Charlson comorbidity index ≥ 2. Factors associated with readmission were as follows: age 45-64 years (odds ratio [OR] 1.42, p=0.001), Medicare (OR 3.01, p<0.001) or Medicaid (OR 2.61, p<0.001) insurance status, lower median household income, renal failure (OR 17.14, p<0.001), hypertension (OR 2.89, p<0.001), and deficiency anemia (OR 2.62, p<0.01). Conclusions: Parathyroid axis monitoring may provide benefits to predictably high-risk patients. Appropriate surveillance may decrease the impact of bariatric hyperparathyroidism readmission on the U.S. healthcare system. Cureus 2020-09-22 /pmc/articles/PMC7580962/ /pubmed/33110721 http://dx.doi.org/10.7759/cureus.10585 Text en Copyright © 2020, Qafiti et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Endocrinology/Diabetes/Metabolism Qafiti, Fred N Lopez, Michael A Kichler, Kandace Parreco, Joshua Buicko, Jessica L Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review |
title | Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review |
title_full | Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review |
title_fullStr | Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review |
title_full_unstemmed | Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review |
title_short | Hospital Readmissions for Hyperparathyroidism After Bariatric Surgery in the United States: A National Database Review |
title_sort | hospital readmissions for hyperparathyroidism after bariatric surgery in the united states: a national database review |
topic | Endocrinology/Diabetes/Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580962/ https://www.ncbi.nlm.nih.gov/pubmed/33110721 http://dx.doi.org/10.7759/cureus.10585 |
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