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Original Research

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Protective effect of high body mass index in elderly critically ill with severe COVID-19 pneumonia

  • Marko Kurnik1,†
  • Helena Božič1,†
  • Anže Vindišar1
  • Petra Kolar1
  • Matej Podbregar1,2,*,

1Department of internal intensive care, General Hospital Celje, 3000 Celje, Slovenia

2Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia

DOI: 10.22514/sv.2024.082 Vol.20,Issue 7,July 2024 pp.43-52

Submitted: 16 December 2023 Accepted: 02 February 2024

Published: 08 July 2024

*Corresponding Author(s): Matej Podbregar E-mail: matej.podbregar@guest.arnes.si

† These authors contributed equally.

Abstract

The “obesity paradox”—reduced mortality in obese patients—in critically ill individuals remains a topic of conflicting evidence, but it appears to be more pronounced in the elderly. Our study aims to investigate the predictive significance of body weight in relation to the mortality of critically ill elderly individuals with severe COVID-19 pneumonia. Consecutive patients aged ≥70 years, admitted to intensive care unit (ICU) for SARS-CoV-2 severe pneumonia were included in the final analysis. Among various data collected, body mass index (BMI) was recorded upon admission, and both classical statistics and logistic regression modeling were applied to assess the relation of BMI with ICU mortality. Our cohort comprised 102 patients, with an average age of 77 ± 5 years, of whom 26% were female. The average length of ICU stay was 11.4 ± 9.2 days, and the average BMI was 29.3 ± 5.2 kg/m2. High-flow oxygenation, non-invasive ventilation, and invasive mechanical ventilation were used to support 33%, 35%, and 68% of patients, respectively. ICU mortality was observed in 50.0% of cases, with survivors having a shorter ICU stay compared to non-survivors (9.1 ± 8.5 vs. 13.6 ± 9.4 days, p = 0.01). Furthermore, survivors exhibited higher BMI values compared to non-survivors (30.5 ± 5.6 vs. 28.1 ± 4.5 kg/m2, p = 0.02), with a higher proportion of survivors having a BMI ≥30 kg/m2 (51% vs. 29%, Chi-square p = 0.025). Adjusted for gender and chronic diseases, BMI ≥30 kg/m2 measured at admission was associated with lower ICU mortality (odds ratio (OR): 0.33, p = 0.04) and lower hospital mortality (OR: 0.21, p = 0.024). Overall, our findings suggest that higher BMI is correlated with lower mortality and shorter ICU stays in elderly critically ill patients with severe COVID-19 pneumonia.


Keywords

Body mass index; COVID-19; Critical care; Elderly; Intensive care unit; Mortality


Cite and Share

Marko Kurnik,Helena Božič,Anže Vindišar,Petra Kolar,Matej Podbregar. Protective effect of high body mass index in elderly critically ill with severe COVID-19 pneumonia. Signa Vitae. 2024. 20(7);43-52.

References

[1] World Health Organization. Obesity and overweight. 2021. Available at: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (Accessed: 30 December 2021).

[2] Aghili SMM, Ebrahimpur M, Arjmand B, Shadman Z, Pejman Sani M, Qorbani M, et al. Obesity in COVID-19 era, implications for mechanisms, comorbidities, and prognosis: a review and meta-analysis. International Journal of Obesity. 2021; 45: 998–1016.

[3] Kooistra EJ, de Nooijer AH, Claassen WJ, Grondman I, Janssen NAF, Netea MG, et al. A higher BMI is not associated with a different immune response and disease course in critically ill COVID-19 patients. International Journal of Obesity. 2021; 45: 687–694.

[4] Dana R, Bannay A, Bourst P, Ziegler C, Losser M, Gibot S, et al. Obesity and mortality in critically ill COVID-19 patients with respiratory failure. International Journal of Obesity. 2021; 45: 2028–2037.

[5] Dessie ZG, Zewotir T. Mortality-related risk factors of COVID-19: a systematic review and meta-analysis of 42 studies and 423,117 patients. BMC Infectious Diseases. 2021; 21: 855.

[6] Yates T, Zaccardi F, Islam N, Razieh C, Gillies CL, Lawson CA, et al. Obesity, chronic disease, age, and in-hospital mortality in patients with covid-19: analysis of ISARIC clinical characterisation protocol UK cohort. BMC Infectious Diseases. 2021; 21: 717.

[7] Chu Y, Yang J, Shi J, Zhang P, Wang X. Obesity is associated with increased severity of disease in COVID-19 pneumonia: a systematic review and meta-analysis. European Journal of Medical Research. 2020; 25: 64.

[8] Luzi L, Radaelli MG. Influenza and obesity: its odd relationship and the lessons for COVID-19 pandemic. Acta Diabetologica. 2020; 57: 759–764.

[9] Biscarini S, Colaneri M, Ludovisi S, Seminari E, Pieri TC, Valsecchi P, et al. The obesity paradox: analysis from the SMAtteo COvid-19 REgistry (SMACORE) cohort. Nutrition, Metabolism and Cardiovascular Diseases. 2020; 30: 1920–1925.

[10] Arulanandam B, Beladi H, Chakrabarti A. Obesity and COVID-19 mortality are correlated. Scientific Reports. 2023; 13: 5895.

[11] Halasz G, Leoni MLG, Villani GQ, Nolli M, Villani M. Obesity, overweight and survival in critically ill patients with SARS-CoV-2 pneumonia: is there an obesity paradox? Preliminary results from Italy. European Journal of Preventive Cardiology. 2021; 28: e15–e17.

[12] Fukuoka S, Kurita T, Dohi K, Masuda J, Seko T, Tanigawa T, et al. Untangling the obesity paradox in patients with acute myocardial infarction after primary percutaneous coronary intervention (detail analysis by age). International Journal of Cardiology. 2019; 289: 12–18.

[13] Ni Y, Luo J, Yu H, Wang Y, Hu Y, Liu D, et al. Can body mass index predict clinical outcomes for patients with acute lung injury/acute respiratory distress syndrome? A meta-analysis. Critical Care. 2017; 21: 36.

[14] Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American college of cardiology/American heart association task force on practice guidelines and the obesity society. Circulation. 2014; 129: S102–S138.

[15] Konstam MA, Kiernan MS, Bernstein D, Bozkurt B, Jacob M, Kapur NK, et al. Evaluation and management of right-sided heart failure: a scientific statement from the American Heart Association. Circulation. 2018; 137: e578–e622.

[16] Roca O, Messika J, Caralt B, García-de-Acilu M, Sztrymf B, Ricard J, et al. Predicting success of high-flow nasal cannula in pneumonia patients with hypoxemic respiratory failure: the utility of the ROX index. Journal of Critical Care. 2016; 35: 200–205.

[17] Miller JM, Binnicker MJ, Campbell S, Carroll KC, Chapin KC, Gilligan PH, et al. A guide to utilization of the microbiology laboratory for diagnosis of infectious diseases: 2018 update by the infectious diseases society of America and the American society for microbiology. Clinical Infectious Diseases. 2018; 67: e1–e94.

[18] Liu Y, Song M, Huang L, Zhu G. “Obesity Paradox” in acute respiratory distress syndrome among patients undergoing cardiac surgery: a retrospective study. Medical Science Monitor. 2021; 27: e931808.

[19] de Siqueira JVV, Almeida LG, Zica BO, Brum IB, Barceló A, de Siqueira Galil AG. Impact of obesity on hospitalizations and mortality, due to COVID-19: a systematic review. Obesity Research & Clinical Practice. 2020; 14: 398–403.

[20] Trecarichi EM, Mazzitelli M, Serapide F, Pelle MC, Tassone B, Arrighi E, et al. Clinical characteristics and predictors of mortality associated with COVID-19 in elderly patients from a long-term care facility. Scientific Reports. 2020; 10: 20834.

[21] Zeng J, Liu X, Wang S, Yang S, Jia W, Han K, et al. The association between BMI and metabolically unhealthy status with COVID-19 mortality: based on 3019 inpatients from Wuhan, China. Nutrition, Metabolism and Cardiovascular Diseases. 2021; 31: 3219–3226.

[22] Kim TS, Roslin M, Wang JJ, Kane J, Hirsch JS, Kim EJ. BMI as a risk factor for clinical outcomes in patients hospitalized with COVID‐19 in New York. Obesity. 2021; 29: 279–284.

[23] Hendren NS, de Lemos JA, Ayers C, Das SR, Rao A, Carter S, et al. Association of body mass index and age with morbidity and mortality in patients hospitalized with COVID-19: results from the American Heart Association COVID-19 cardiovascular disease registry. Circulation. 2021; 143: 135–144.

[24] Kompaniyets L, Goodman AB, Belay B, Freedman DS, Sucosky MS, Lange SJ, et al. Body mass index and risk for COVID-19-related hospitalization, intensive care unit admission, invasive mechanical ventilation, and death—United States, March–December 2020. Morbidity and Mortality Weekly Report. 2021; 70: 355–361.

[25] Yoshida J, Setoguchi K, Shiraishi K, Kikuchi T, Tanaka M. The obesity paradox in Japanese COVID-19 patients. International Journal of Medical Sciences. 2023; 20: 1508–1512.

[26] Ball L, Serpa Neto A, Pelosi P. Obesity and survival in critically ill patients with acute respiratory distress syndrome: a paradox within the paradox. Critical Care. 2017; 21: 114.

[27] Jose RJ, Manuel A. Does coronavirus disease 2019 disprove the obesity paradox in acute respiratory distress syndrome? Obesity. 2020; 28: 1007.

[28] Anderson MR, Shashaty MGS. Impact of obesity in critical illness. Chest. 2021; 160: 2135–2145.

[29] Zhi G, Xin W, Ying W, Guohong X, Shuying L. “Obesity Paradox” in acute respiratory distress syndrome: a systematic review and meta-analysis. PLOS ONE. 2016; 11: e0163677.

[30] Helvaci N, Eyupoglu ND, Karabulut E, Yildiz BO. Prevalence of obesity and its impact on outcome in patients with COVID-19: a systematic review and meta-analysis. Frontiers in Endocrinology. 2021; 12: 598249.

[31] Lu L, Lu Y, Gao C, Zhang N. Age moderates the relationships between obesity, glucose variability, and intensive care unit mortality: a retrospective cohort study. Journal of Intensive Care. 2021; 9: 68.

[32] Zhou D, Li Z, Shi G, Zhou J. Obesity paradox for critically ill patients may be modified by age: a retrospective observational study from one large database. Critical Care. 2020; 24: 425.

[33] Akazawa N, Kishi M, Hino T, Tsuji R, Tamura K, Hioka A, et al. Relationship between aging and intramuscular adipose tissue in older inpatients. Journal of the American Medical Directors Association. 2021; 22: 1287–1291.e1.

[34] WEIL MH, AFIFI AA. Experimental and clinical studies on lactate and pyruvate as indicators of the severity of acute circulatory failure (shock). Circulation. 1970; 41: 989–1001.

[35] Jagan N, Morrow LE, Walters RW, Plambeck RW, Wallen TJ, Patel TM, et al. Sepsis and the obesity paradox: size matters in more than one way. Critical Care Medicine. 2020; 48: e776–e782.

[36] Decruyenaere A, Steen J, Colpaert K, Benoit DD, Decruyenaere J, Vansteelandt S. The obesity paradox in critically ill patients: a causal learning approach to a casual finding. Critical Care. 2020; 24: 485.

[37] Banack HR, Kaufman JS. Estimating the time-varying joint effects of obesity and smoking on all-cause mortality using marginal structural models. American Journal of Epidemiology. 2016; 183: 122–129.

[38] Toft-Petersen AP, Wulff J, Harrison DA, Ostermann M, Margarson M, Rowan KM, et al. Exploring the impact of using measured or estimated values for height and weight on the relationship between BMI and acute hospital mortality. Journal of Critical Care. 2018; 44: 196–202.

[39] Schetz M, De Jong A, Deane AM, Druml W, Hemelaar P, Pelosi P, et al. Obesity in the critically ill: a narrative review. Intensive Care Medicine. 2019; 45: 757–769.

[40] Geriatric Medicine Research C, Covid C, Welch C. Age and frailty are independently associated with increased COVID-19 mortality and increased care needs in survivors: results of an international multi-centre study. Age Ageing. 2021; 50: 617–630.

[41] Guillon A, Laurent E, Godillon L, Kimmoun A, Grammatico-Guillon L. Long-term mortality of elderly patients after intensive care unit admission for COVID-19. Intensive Care Medicine. 2021; 47: 710–712.

[42] Jung C, Fjolner J, Bruno RR, Wernly B, Artigas A, Bollen Pinto B, et al. Differences in mortality in critically ill elderly patients during the second COVID-19 surge in Europe. Critical Care. 2021; 25: 344.

[43] Pepe M, Maroun-Eid C, Romero R, Arroyo-Espliguero R, Fernàndez-Rozas I, Aparisi A, et al. Clinical presentation, therapeutic approach, and outcome of young patients admitted for COVID-19, with respect to the elderly counterpart. Clinical and Experimental Medicine. 2021; 21: 249–268.

[44] Graziano E, Peghin M, De Martino M, De Carlo C, Da Porto A, Bulfone L, et al. The impact of body composition on mortality of COVID-19 hospitalized patients: a prospective study on abdominal fat, obesity paradox and sarcopenia. Clinical Nutrition ESPEN. 2022; 51: 437–444.

[45] Lee JY, Kim HA. Huh K, Hyun M, Rhee JY, Jang S, et al. Risk factors for mortality and respiratory support in elderly patients hospitalized with COVID-19 in Korea. Journal of Korean Medical Science. 2020; 35: e223.

[46] Bardi T, Pintado V, Gomez-Rojo M, Escudero-Sanchez R, Azzam Lopez A, Diez-Remesal Y, et al. Nosocomial infections associated to COVID-19 in the intensive care unit: clinical characteristics and outcome. European Journal of Clinical Microbiology & Infectious Diseases. 2021; 40: 495–502.

[47] Riesgo H, Castro A, Del Amo S, San Ceferino MJ, Izaola O, Primo D, et al. Prevalence of risk of malnutrition and risk of sarcopenia in a reference hospital for COVID-19: relationship with mortality. Annals of Nutrition and Metabolism. 2021: 77: 324–329.


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