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The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients

BACKGROUND: Global healthcare delivery is challenged by the aging population and the increase in obesity and type 2 diabetes. The extent to which such trends affect the cohort of patients the authors surgically operate on remains to be elucidated. Comprising of 8.7 million surgical patients, the Ame...

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Autores principales: Knoedler, Samuel, Matar, Dany Y., Friedrich, Sarah, Knoedler, Leonard, Haug, Valentin, Hundeshagen, Gabriel, Kauke-Navarro, Martin, Kneser, Ulrich, Pomahac, Bohdan, Orgill, Dennis P., Panayi, Adriana C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498871/
https://www.ncbi.nlm.nih.gov/pubmed/37788019
http://dx.doi.org/10.1097/JS9.0000000000000511
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author Knoedler, Samuel
Matar, Dany Y.
Friedrich, Sarah
Knoedler, Leonard
Haug, Valentin
Hundeshagen, Gabriel
Kauke-Navarro, Martin
Kneser, Ulrich
Pomahac, Bohdan
Orgill, Dennis P.
Panayi, Adriana C.
author_facet Knoedler, Samuel
Matar, Dany Y.
Friedrich, Sarah
Knoedler, Leonard
Haug, Valentin
Hundeshagen, Gabriel
Kauke-Navarro, Martin
Kneser, Ulrich
Pomahac, Bohdan
Orgill, Dennis P.
Panayi, Adriana C.
author_sort Knoedler, Samuel
collection PubMed
description BACKGROUND: Global healthcare delivery is challenged by the aging population and the increase in obesity and type 2 diabetes. The extent to which such trends affect the cohort of patients the authors surgically operate on remains to be elucidated. Comprising of 8.7 million surgical patients, the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database can be analyzed to investigate the echo of general population dynamics and forecast future trends. MATERIAL AND METHODS: The authors reviewed the ACS-NSQIP database (2008–2020) in its entirety, extracting patient age, BMI, and diabetes prevalence. Based on these data, the authors forecasted future trends up to 2030 using a drift model. RESULTS: During the review period, median age increased by 3 years, and median BMI by 0.9 kg/m(2). The proportion of patients with overweight, obesity class I, and class II rates increased. The prevalence of diabetes rose between 2008 (14.9%) and 2020 (15.3%). The authors forecast the median age in 2030 to reach 61.5 years and median BMI to climb to 29.8 kg/m(2). Concerningly, in 2030, eight of ten surgical patients are projected to have a BMI above normal. Diabetes prevalence is projected to rise to 15.6% over the next decade. CONCLUSION: General population trends echo in the field of surgery, with the surgical cohort aging at an alarmingly rapid rate and increasingly suffering from obesity and diabetes. These trends show no sign of abating without dedicated efforts and call for urgent measures and fundamental re-structuring for improved future surgical care.
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spelling pubmed-104988712023-09-14 The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients Knoedler, Samuel Matar, Dany Y. Friedrich, Sarah Knoedler, Leonard Haug, Valentin Hundeshagen, Gabriel Kauke-Navarro, Martin Kneser, Ulrich Pomahac, Bohdan Orgill, Dennis P. Panayi, Adriana C. Int J Surg Original Research BACKGROUND: Global healthcare delivery is challenged by the aging population and the increase in obesity and type 2 diabetes. The extent to which such trends affect the cohort of patients the authors surgically operate on remains to be elucidated. Comprising of 8.7 million surgical patients, the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database can be analyzed to investigate the echo of general population dynamics and forecast future trends. MATERIAL AND METHODS: The authors reviewed the ACS-NSQIP database (2008–2020) in its entirety, extracting patient age, BMI, and diabetes prevalence. Based on these data, the authors forecasted future trends up to 2030 using a drift model. RESULTS: During the review period, median age increased by 3 years, and median BMI by 0.9 kg/m(2). The proportion of patients with overweight, obesity class I, and class II rates increased. The prevalence of diabetes rose between 2008 (14.9%) and 2020 (15.3%). The authors forecast the median age in 2030 to reach 61.5 years and median BMI to climb to 29.8 kg/m(2). Concerningly, in 2030, eight of ten surgical patients are projected to have a BMI above normal. Diabetes prevalence is projected to rise to 15.6% over the next decade. CONCLUSION: General population trends echo in the field of surgery, with the surgical cohort aging at an alarmingly rapid rate and increasingly suffering from obesity and diabetes. These trends show no sign of abating without dedicated efforts and call for urgent measures and fundamental re-structuring for improved future surgical care. Lippincott Williams & Wilkins 2023-06-12 /pmc/articles/PMC10498871/ /pubmed/37788019 http://dx.doi.org/10.1097/JS9.0000000000000511 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nd/4.0/This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0 (https://creativecommons.org/licenses/by-nd/4.0/) , which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0/ (https://creativecommons.org/licenses/by-nd/4.0/)
spellingShingle Original Research
Knoedler, Samuel
Matar, Dany Y.
Friedrich, Sarah
Knoedler, Leonard
Haug, Valentin
Hundeshagen, Gabriel
Kauke-Navarro, Martin
Kneser, Ulrich
Pomahac, Bohdan
Orgill, Dennis P.
Panayi, Adriana C.
The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
title The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
title_full The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
title_fullStr The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
title_full_unstemmed The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
title_short The surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
title_sort surgical patient of yesterday, today, and tomorrow—a time-trend analysis based on a cohort of 8.7 million surgical patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498871/
https://www.ncbi.nlm.nih.gov/pubmed/37788019
http://dx.doi.org/10.1097/JS9.0000000000000511
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