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Alharbi KK, Arbaein TJ, Alzhrani AA, Alzahrani AM, Monshi SS, Alotaibi AFM, Aljasser AI, Alruhaimi KT, Alotaibi SDK, Alsultan AK, Arafat MS, Aldhabib A, Abd-Ellatif EE. Factors Affecting the Length of Stay in the Intensive Care Unit among Adults in Saudi Arabia: A Cross-Sectional Study. J Clin Med 2023; 12:6787. [PMID: 37959252 PMCID: PMC10649797 DOI: 10.3390/jcm12216787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 10/15/2023] [Accepted: 10/18/2023] [Indexed: 11/15/2023] Open
Abstract
This study aimed to assess patient-related factors associated with the LOS among adults admitted to the ICU in Saudi Arabia. The Ministry of Health provided a cross-sectional dataset for 2021, which served as the data source for this study. The data included data on adults admitted to different ICUs at various hospitals. The number of days spent in the ICU was the outcome variable of interest. The potential predictors were age, sex, and nationality, as well as clinical data from the time of admission. Descriptive statistics and bivariate analysis were used to analyse the association between the predictors and the ICU LOS and characterize how they were distributed. We used negative binomial regression to examine the relationship between the study predictors and the ICU LOS. A total of 42,884 individuals were included in this study, of whom 25,520 were men and 17,362 were women. The overall median ICU LOS was three days. This study showed that the ICU LOS was highly influenced by the patient's age, sex, nationality, source of admission, and clinical history. Several predictors that affect how long adults stay in the ICU in Saudi Arabian hospitals were identified in this study. These factors can be attributed to variances in health care delivery systems, patient demographics, and cultural considerations. To allocate resources efficiently, enhance patient outcomes, and create focused treatments to reduce ICU LOS, it is essential to comprehend these elements.
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Affiliation(s)
- Khulud K. Alharbi
- Department of Health Services Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah 24382, Saudi Arabia; (T.J.A.); (A.A.A.); (A.M.A.); (S.S.M.)
| | - Turky J. Arbaein
- Department of Health Services Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah 24382, Saudi Arabia; (T.J.A.); (A.A.A.); (A.M.A.); (S.S.M.)
| | - Abdulrhman A. Alzhrani
- Department of Health Services Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah 24382, Saudi Arabia; (T.J.A.); (A.A.A.); (A.M.A.); (S.S.M.)
| | - Ali M. Alzahrani
- Department of Health Services Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah 24382, Saudi Arabia; (T.J.A.); (A.A.A.); (A.M.A.); (S.S.M.)
| | - Sarah S. Monshi
- Department of Health Services Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah 24382, Saudi Arabia; (T.J.A.); (A.A.A.); (A.M.A.); (S.S.M.)
| | - Adel Fahad M. Alotaibi
- Department of Preventive Health, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.F.M.A.); (A.I.A.); (K.T.A.); (S.D.K.A.)
| | - Areej I. Aljasser
- Department of Preventive Health, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.F.M.A.); (A.I.A.); (K.T.A.); (S.D.K.A.)
| | - Khalil Thawahi Alruhaimi
- Department of Preventive Health, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.F.M.A.); (A.I.A.); (K.T.A.); (S.D.K.A.)
| | - Satam Dhafallah K. Alotaibi
- Department of Preventive Health, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.F.M.A.); (A.I.A.); (K.T.A.); (S.D.K.A.)
| | - Ali K. Alsultan
- Emergency Medicine, Saudi Medical Appointment and Referral Center, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.K.A.); (M.S.A.); (A.A.)
| | - Mohammed S. Arafat
- Emergency Medicine, Saudi Medical Appointment and Referral Center, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.K.A.); (M.S.A.); (A.A.)
| | - Abdulrahman Aldhabib
- Emergency Medicine, Saudi Medical Appointment and Referral Center, Ministry of Health, Riyadh 13717, Saudi Arabia; (A.K.A.); (M.S.A.); (A.A.)
| | - Eman E. Abd-Ellatif
- Department of Public Health and Community Medicine, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt;
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Rudym D, Pham T, Rackley CR, Grasselli G, Anderson M, Baldwin MR, Beitler J, Agerstrand C, Serra A, Winston LA, Bonadonna D, Yip N, Emerson LJ, Dzierba A, Sonett J, Abrams D, Ferguson ND, Bacchetta M, Schmidt M, Brodie D. Mortality in Patients with Obesity and Acute Respiratory Distress Syndrome Receiving Extracorporeal Membrane Oxygenation: The Multicenter ECMObesity Study. Am J Respir Crit Care Med 2023; 208:685-694. [PMID: 37638735 PMCID: PMC10515561 DOI: 10.1164/rccm.202212-2293oc] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 07/19/2023] [Indexed: 08/29/2023] Open
Abstract
Rationale: Patients with obesity are at increased risk for developing acute respiratory distress syndrome (ARDS). Some centers consider obesity a relative contraindication to receiving extracorporeal membrane oxygenation (ECMO) support, despite growing implementation of ECMO for ARDS in the general population. Objectives: To investigate the association between obesity and mortality in patients with ARDS receiving ECMO. Methods: In this large, international, multicenter, retrospective cohort study, we evaluated the association of obesity, defined as body mass index ⩾ 30 kg/m2, with ICU mortality in patients receiving ECMO for ARDS by performing adjusted multivariable logistic regression and propensity score matching. Measurements and Main Results: Of 790 patients with ARDS receiving ECMO in our study, 320 had obesity. Of those, 24.1% died in the ICU, compared with 35.3% of patients without obesity (P < 0.001). In adjusted models, obesity was associated with lower ICU mortality (odds ratio, 0.63 [95% confidence interval, 0.43-0.93]; P = 0.018). Examined as a continuous variable, higher body mass index was associated with decreased ICU mortality in multivariable regression (odds ratio, 0.97 [95% confidence interval, 0.95-1.00]; P = 0.023). In propensity score matching of 199 patients with obesity to 199 patients without, patients with obesity had a lower probability of ICU death than those without (22.6% vs. 35.2%; P = 0.007). Conclusions: Among patients receiving ECMO for ARDS, those with obesity had lower ICU mortality than patients without obesity in multivariable and propensity score matching analyses. Our findings support the notion that obesity should not be considered a general contraindication to ECMO.
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Affiliation(s)
- Darya Rudym
- Department of Medicine, New York University Langone Health, New York, New York
| | - Tài Pham
- Service de Médecine Intensive-Réanimation, Assistance Publique–Hôpitaux de Paris, Hôpital de Bicêtre, DMU CORREVE, FHU SEPSIS, Groupe de Recherche CARMAS, Le Kremlin-Bicêtre, France
- Université Paris-Saclay, Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Sud, Inserm U1018, Equipe d’Epidémiologie Respiratoire Intégrative, Centre d’Épidémiologie et de Santé des Populations, Villejuif, France
| | | | - Giacomo Grasselli
- Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italia
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Michaela Anderson
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Matthew R. Baldwin
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Jeremy Beitler
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
- Center for Acute Respiratory Failure and
| | - Cara Agerstrand
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
- Center for Acute Respiratory Failure and
| | - Alexis Serra
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | | | - Desiree Bonadonna
- Perfusion Services, Duke University Health System, Durham, North Carolina
| | - Natalie Yip
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
- Center for Acute Respiratory Failure and
| | - Logan J. Emerson
- Duke Respiratory Care Services, Duke University Hospital, Durham, North Carolina
| | - Amy Dzierba
- Center for Acute Respiratory Failure and
- Department of Pharmacy, NewYork-Presbyterian Hospital, New York, New York
| | | | - Darryl Abrams
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
- Center for Acute Respiratory Failure and
| | - Niall D. Ferguson
- Interdepartmental Division of Critical Care Medicine
- Department of Medicine
- Department of Physiology, and
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Division of Respirology, University Health Network and Sinai Health, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Matthew Bacchetta
- Department of Cardiac Surgery, Vanderbilt Medical Center East, Nashville, Tennessee
| | - Matthieu Schmidt
- Sorbonne Université, GRC 30 RESPIRE, UMRS_1166-ICAN, Paris, France
- Service de Médecine Intensive-Réanimation, Institut de Cardiologie, Assistance Publique–Hôpitaux de Paris Hôpital Pitié–Salpêtrière, Paris, France; and
| | - Daniel Brodie
- Department of Medicine, School of Medicine, John Hopkins University, Baltimore, Maryland
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Czapla M, Kwaśny A, Słoma-Krześlak M, Juárez-Vela R, Karniej P, Janczak S, Mickiewicz A, Uchmanowicz B, Zieliński S, Zielińska M. The Impact of Body Mass Index on In-Hospital Mortality in Post-Cardiac-Arrest Patients-Does Sex Matter? Nutrients 2023; 15:3462. [PMID: 37571399 PMCID: PMC10420814 DOI: 10.3390/nu15153462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 07/28/2023] [Accepted: 08/04/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND A number of factors influence mortality in post-cardiac-arrest (CA) patients, nutritional status being one of them. The aim of this study was to assess whether there are sex differences in the prognostic impact of BMI, as calculated on admission to an intensive care unit, on in-hospital mortality in sudden cardiac arrest (SCA) survivors. METHODS We carried out a retrospective analysis of data of 129 post-cardiac-arrest patients with return of spontaneous circulation (ROSC) admitted to the Intensive Care Unit (ICU) of the University Teaching Hospital in Wrocław between 2017 and 2022. RESULTS Female patients were significantly older than male patients (68.62 ± 14.77 vs. 62.7 ± 13.95). The results of univariable logistic regression analysis showed that BMI was not associated with the odds of in-hospital death in either male or female patients. In an age-adjusted model, age was an independent predictor of the odds of in-hospital death only in male patients (OR = 1.034). In our final multiple logistic regression model, adjusted for the remaining variables, none of the traits analysed were a significant independent predictor of the odds of in-hospital death in female patients, whereas an initial rhythm of ventricular fibrillation or pulseless ventricular tachycardia (VF/pVT) was an independent predictor of the odds of in-hospital death in male patients (OR = 0.247). CONCLUSIONS BMI on admission to ICU is not a predictor of the odds of in-hospital death in either male or female SCA survivors.
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Affiliation(s)
- Michał Czapla
- Department of Emergency Medical Service, Wrocław Medical University, 51-616 Wrocław, Poland; (M.C.); (A.M.)
- Group of Research in Care (GRUPAC), Faculty of Health Sciences, University of La Rioja, 26006 Logroño, Spain; (R.J.-V.); (P.K.)
| | - Adrian Kwaśny
- Institute of Dietetics, Academy of Business and Health Science, 90-361 Łódź, Poland;
| | - Małgorzata Słoma-Krześlak
- Department of Human Nutrition, Department of Dietetics, Faculty of Health Sciences in Bytom, Medical University of Silesia in Katowice, 40-055 Katowice, Poland;
| | - Raúl Juárez-Vela
- Group of Research in Care (GRUPAC), Faculty of Health Sciences, University of La Rioja, 26006 Logroño, Spain; (R.J.-V.); (P.K.)
| | - Piotr Karniej
- Group of Research in Care (GRUPAC), Faculty of Health Sciences, University of La Rioja, 26006 Logroño, Spain; (R.J.-V.); (P.K.)
- Faculty of Finances and Management, WSB MERITO, University in Wroclaw, 53-609 Wrocław, Poland
| | - Sara Janczak
- Student Research Group, Department of Vascular, General and Transplantation Surgery, Wrocław Medical University, 50-556 Wrocław, Poland;
| | - Aleksander Mickiewicz
- Department of Emergency Medical Service, Wrocław Medical University, 51-616 Wrocław, Poland; (M.C.); (A.M.)
| | - Bartosz Uchmanowicz
- Department of Nursing and Obstetrics, Faculty of Health Sciences, Wroclaw Medical University, 51-618 Wrocław, Poland
| | - Stanisław Zieliński
- Department and Clinic of Anaesthesiology and Intensive Therapy, Faculty of Medicine, Wrocław Medical University, 50-556 Wrocław, Poland; (S.Z.); (M.Z.)
| | - Marzena Zielińska
- Department and Clinic of Anaesthesiology and Intensive Therapy, Faculty of Medicine, Wrocław Medical University, 50-556 Wrocław, Poland; (S.Z.); (M.Z.)
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Xu Y, Han D, Xu F, Shen S, Zheng X, Wang H, Lyu J. Using Restricted Cubic Splines to Study the Duration of Antibiotic Use in the Prognosis of Ventilator-Associated Pneumonia. Front Pharmacol 2022; 13:898630. [PMID: 35571078 PMCID: PMC9099062 DOI: 10.3389/fphar.2022.898630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/12/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Ventilator-associated pneumonia (VAP) is the most widespread and life-threatening nosocomial infection in intensive care units (ICUs). The duration of antibiotic use is a good predictor of prognosis in patients with VAP, but the ideal duration of antibiotic therapy for VAP in critically ill patients has not been confirmed. Research is therefore needed into the optimal duration of antibiotic use and its impact on VAP. Methods: The Medical Information Mart for Intensive Care database included 1,609 patients with VAP. Chi-square or Student’s t-tests were used to compare groups, and Cox regression analysis was used to investigate the factors influencing the prognoses of patients with VAP. Nonlinear tests were performed on antibiotic use lasting <7, 7–10, and >10 days. Significant factors were included in the model for sensitivity analysis. For the subgroup analyses, the body mass indexes (BMIs) of patients were separated into BMI <30 kg/m2 and BMI ≥30 kg/m2, with the criterion of statistical significance set at p < 0.05. Restricted cubic splines were used to analyze the relationship between antibiotic use duration and mortality risk in patients with VAP. Results: In patients with VAP, the effects of antibiotic use duration on the outcomes were nonlinear. Antibiotic use for 7–10 days in models 1–3 increased the risk of antibiotic use by 2.6020-, 2.1642-, and 2.3263-fold relative to for >10 days, respectively. The risks in models 1–3 for <7 days were 2.6510-, 1.9933-, and 2.5151-fold higher than those in models with >10 days of antibiotic use, respectively. These results were robust across the analyses. Conclusions: The duration of antibiotic treatment had a nonlinear effect on the prognosis of patients with VAP. Antibiotic use durations of <7 days and 7–10 days both presented risks, and the appropriate duration of antibiotic use can ensure the good prognosis of patients with VAP.
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Affiliation(s)
- Yixian Xu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Didi Han
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Fengshuo Xu
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Si Shen
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xinkai Zheng
- Department of Dermatology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hao Wang
- Department of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, China
- *Correspondence: Jun Lyu, ; Hao Wang,
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China
- *Correspondence: Jun Lyu, ; Hao Wang,
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Tambo W, Aronowitz D, Sisa I, Diaz E, Lee AY, Cagliani JA, Torres FJ, Barrera R. Prophylactic Unfractionated Subcutaneous Heparin Does Not Increase Postoperative Hemorrhage in Elderly Patients Undergoing Emergency Neurosurgical Procedures. Cureus 2022; 14:e24324. [PMID: 35607557 PMCID: PMC9123393 DOI: 10.7759/cureus.24324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose The purpose of this study is to evaluate the impact in the development of intracerebral hemorrhage in elderly critically ill patients who received prophylactic subcutaneous unfractionated heparin (SCUFH) less than 24 hours after undergoing emergency neurosurgery. Methods A retrospective analysis was performed on patients who underwent emergency neurosurgery and were admitted to the surgical intensive care unit (SICU) at a tertiary care center over a 10-year period. Administration of prophylactic SCUFH within 24 hours of neurosurgery was required for inclusion. Demographic and clinical characteristics were recorded. The primary outcome was a rate of postoperative hemorrhagic complications with respect to age. Results We identified 223 emergency neurosurgical patients: 100 (45%) patients did not receive prophylactic SCUFH and were excluded. The remaining 123 (55%) patients met all inclusion criteria, of whom 73 (59%) patients were under 65 years old, and 50 (41%) patients were over 65 years old. Patients under 65 years old had significantly lower body mass index (BMI), lower Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE III, and Simplified Acute Physiology Score (SAPS) scores, and shorter median SICU length of stay compared to patients over 65 years old. No statistically significant difference in the rate of postoperative hemorrhagic or non-hemorrhagic neurological complications was observed between patients in either age group. Conclusion Age over 65 years was not associated with a higher risk of postoperative hemorrhage in patients who received SCUFH after emergency neurosurgery. SCUFH can be safely used as a chemoprophylactic agent against venous thromboembolism for elderly patients when used within 24 hours after emergency neurosurgery.
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Nutritional risk and clinical outcomes in critically ill adult patients with COVID-19. NUTR HOSP 2021; 38:1119-1125. [PMID: 34538061 DOI: 10.20960/nh.03749] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
INTRODUCTION the COVID-19 pandemic put the world's population at risk. As the relationship between nutritional risk and clinical outcomes in critically ill patients with COVID-19 is still poorly understood, a multidisciplinary research team of the Argentine Society of Intensive Care (SATI) conducted a multicenter study aimed to define nutritional features, and to evaluate the relationship between nutritional risk and relevant clinical outcomes for COVID-19 patients in an intensive care unit (ICU). METHODS a multicenter, prospective, observational study including twelve Argentinian ICUs was conducted between March and October 2020. Inclusion criteria were: adult patients older than 18 years who were admitted to the ICU with a COVID-19 diagnosis were included. Clinical data included comorbidities scores, and nutritional screening tools such as the Subjective Global Assessment (SGA), the Nutritional Risk Screening (NRS) 2002, and the modified NUTRIC score (mNUTRIC SCORE) were used. In addition, clinical outcomes including overall mortality, mechanical ventilation (MV) days, and ICU and hospital length of stay (LOS) were recorded. RESULTS a total of 285 ICU patients met our inclusion criteria. Mean age was 61.24 (SD = 14.6) years; APACHE-II, 14.2 (SD = 6.6); Charlson Comorbidity Index (CCI), 2.3 (SD = 2.3). Most patients were admitted from the emergency room to the ICU. Hypertension, obesity, and diabetes were the most common comorbidities. Nutritional assessment showed that 36.9 % were SGA B+C, and 46 % were obese. Mean ICU LOS was 22.2 (SD = 19.5), and hospital LOS was 28.1 (SD = 21.9) days. Of all patients, 90.2 % underwent MV, and MV days were 20.6 (SD = 15.6). The univariate and multivariate analyses showed that risk factors for COVID-19 mortality were (odds ratio [95 % confidence interval]): SGA score of B or C: 2.13 [1.11-4.06], and NRS 2002 ≥ 3: 2.25 [1.01-5.01]. CONCLUSIONS in the present study, nutritional status (SGA) and NRS 2002 were major mortality risk factors for CODIV-19 patients in the ICU.
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Kwok S, Adam S, Ho JH, Iqbal Z, Turkington P, Razvi S, Le Roux CW, Soran H, Syed AA. Obesity: A critical risk factor in the COVID-19 pandemic. Clin Obes 2020; 10:e12403. [PMID: 32857454 PMCID: PMC7460880 DOI: 10.1111/cob.12403] [Citation(s) in RCA: 152] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/04/2020] [Accepted: 08/07/2020] [Indexed: 12/12/2022]
Abstract
Obesity is an emerging independent risk factor for susceptibility to and severity of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Previous viral pandemics have shown that obesity, particularly severe obesity (BMI > 40 kg/m2 ), is associated with increased risk of hospitalization, critical care admission and fatalities. In this narrative review, we examine emerging evidence of the influence of obesity on COVID-19, the challenges to clinical management from pulmonary, endocrine and immune dysfunctions in individuals with obesity and identify potential areas for further research. We recommend that people with severe obesity be deemed a vulnerable group for COVID-19; clinical trials of pharmacotherapeutics, immunotherapies and vaccination should prioritize inclusion of people with obesity.
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Affiliation(s)
- See Kwok
- Cardiovascular Trials UnitManchester University NHS Foundation TrustManchesterUK
- Faculty of BiologyMedicine and Health, University of ManchesterManchesterUK
| | - Safwaan Adam
- Faculty of BiologyMedicine and Health, University of ManchesterManchesterUK
- Department of EndocrinologyChristie NHS Foundation TrustManchesterUK
| | - Jan Hoong Ho
- Cardiovascular Trials UnitManchester University NHS Foundation TrustManchesterUK
- Faculty of BiologyMedicine and Health, University of ManchesterManchesterUK
| | - Zohaib Iqbal
- Cardiovascular Trials UnitManchester University NHS Foundation TrustManchesterUK
- Faculty of BiologyMedicine and Health, University of ManchesterManchesterUK
| | - Peter Turkington
- Department of Respiratory MedicineSalford Royal NHS Foundation TrustSalfordUK
| | - Salman Razvi
- Cardiovascular Research CentreInstitute of Genetic Medicine, Newcastle UniversityNewcastle upon TyneUK
| | - Carel W. Le Roux
- Diabetes Complications Research CentreUniversity College DublinDublinIreland
| | - Handrean Soran
- Cardiovascular Trials UnitManchester University NHS Foundation TrustManchesterUK
- Faculty of BiologyMedicine and Health, University of ManchesterManchesterUK
| | - Akheel A. Syed
- Faculty of BiologyMedicine and Health, University of ManchesterManchesterUK
- Department of DiabetesEndocrinology and Obesity Medicine, Salford Royal NHS Foundation TrustSalfordUK
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Peres IT, Hamacher S, Oliveira FLC, Thomé AMT, Bozza FA. What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis. J Crit Care 2020; 60:183-194. [PMID: 32841815 DOI: 10.1016/j.jcrc.2020.08.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 07/02/2020] [Accepted: 08/02/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE Studies have shown that a small percentage of ICU patients have prolonged length of stay (LoS) and account for a large proportion of resource use. Therefore, the identification of prolonged stay patients can improve unit efficiency. In this study, we performed a systematic review and meta-analysis to understand the risk factors of ICU LoS. MATERIALS AND METHODS We searched MEDLINE, Embase and Scopus databases from inception to November 2018. The searching process focused on papers presenting risk factors of ICU LoS. A meta-analysis was performed for studies reporting appropriate statistics. RESULTS From 6906 citations, 113 met the eligibility criteria and were reviewed. A meta-analysis was performed for six factors from 28 papers and concluded that patients with mechanical ventilation, hypomagnesemia, delirium, and malnutrition tend to have longer stay, and that age and gender were not significant factors. CONCLUSIONS This work suggested a list of risk factors that should be considered in prediction models for ICU LoS, as follows: severity scores, mechanical ventilation, hypomagnesemia, delirium, malnutrition, infection, trauma, red blood cells, and PaO2:FiO2. Our findings can be used by prediction models to improve their predictive capacity of prolonged stay patients, assisting in resource allocation, quality improvement actions, and benchmarking analysis.
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Affiliation(s)
- Igor Tona Peres
- Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
| | - Silvio Hamacher
- Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
| | | | - Antônio Márcio Tavares Thomé
- Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
| | - Fernando Augusto Bozza
- Evandro Chagas National Institute of Infectious Disease, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, RJ, Brazil; IDOR, D'Or Institute for Research and Education, Rio de Janeiro, RJ, Brazil.
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Wang H, Lee CC, Chou EH, Hsu WT, Robinson RD, Su KY, Kirby JJ, Hassani D. Mortality association between obesity and pneumonia using a dual restricted cohort model. Obes Res Clin Pract 2020; 14:350-359. [PMID: 32684413 DOI: 10.1016/j.orcp.2019.09.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 09/20/2019] [Accepted: 09/22/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND An obesity survival paradox has been reported among obese patients with pneumonia. AIMS To determine the impact of obesity on pneumonia outcomes and analyze the correlation between in-hospital all-cause mortality and obesity among patients with pneumonia. METHODS The United States Nationwide Readmissions Database (NRD) was retrospectively analyzed for patients with pneumonia from 2013 to 2014. We used a step-wise restricted and propensity score matching cohort model (dual model) to compare mortality rates and other outcomes among pneumonia patients based on BMI. Mortality was calculated by a Cox proportional hazard model, adjusted for potential confounders with propensity score matched analysis. RESULTS A total of 70,886,775 patients were registered in NRD during the study period. Of these, 7,786,913 patients (11.0%) were considered obese and 1,652,456 patients (2.3%) were admitted to the hospital with pneumonia. Based on the step-wise restricted cohort model, the hazard ratio comparing the mortality rates among obese pneumonia patients to mortality rates among normal BMI pneumonia patients was 0.75 (95% CI 0.60-0.94). The propensity score matched analysis estimated a hazard rate of 0.84 (95% CI 0.79-0.90) and the hazard ratio estimated from the dual model was 0.82 (95% CI 0.63-1.07). CONCLUSIONS With the application of a dual model, there appears to be no significant difference in mortality of obese patients with pneumonia compared to normal BMI patients with pneumonia.
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Affiliation(s)
- Hao Wang
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Number 7, Chung-Shan South Road, Taipei 100, Taiwan.
| | - Eric H Chou
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Wan-Ting Hsu
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Richard D Robinson
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Ke-Ying Su
- Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Number 7, Chung-Shan South Road, Taipei 100, Taiwan
| | - Jessica J Kirby
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Dahlia Hassani
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
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Khalooeifard R, Djafarian K, Safabakhsh M, Rahmani J, Shab-Bidar S. Dose-Response Meta-Analysis of the Impact of Body Mass Index on Mortality in the Intensive Care Unit. Nutr Clin Pract 2020; 35:1010-1020. [PMID: 32181950 DOI: 10.1002/ncp.10473] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION Both low and high body mass index (BMI) are associated with mortality in the intensive care unit (ICU). Although many studies have been done to determine the relationship between BMI and risk of mortality in the ICU, their results were inconsistent. This study aimed to conduct a dose-response meta-analysis of published observational studies to assess the effect of BMI on the risk of mortality in patients admitted to the ICU. METHODS PubMed, Scopus, and Google Scholar were searched to identify articles up to May 2019. A total of 31 relevant articles, with 238,961 patients and a follow-up period of 1 month to 11 years, were analyzed. RESULTS Linear analysis showed a 0.6% decrease in mortality rate per unit (kg/m2 ) increase in BMI (odds ratio: 0.99; 95% CI, 0.98-0.99). In addition, nonlinear analysis showed a decrease in risk of mortality for a BMI of 35 (P < .001) and then increased the risk of mortality with a BMI > 35 (P < .001). CONCLUSION This dose-response meta-analysis revealed that a BMI ≤ 35 can be a protective agent against mortality, but a BMI > 35 is a life-threatening factor in patients admitted to the ICU.
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Affiliation(s)
- Razieh Khalooeifard
- Student Research Committee, Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kurosh Djafarian
- Department of Clinical, Nutrition, School of Nutritional Sciences and Dietetics and School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Safabakhsh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Jamal Rahmani
- Department of Community Nutrition, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Bailly S, Galerneau LM, Ruckly S, Seiller A, Terzi N, Schwebel C, Dupuis C, Tamisier R, Mourvillier B, Pepin JL, Timsit JF. Impact of obstructive sleep apnea on the obesity paradox in critically ill patients. J Crit Care 2019; 56:120-124. [PMID: 31896445 DOI: 10.1016/j.jcrc.2019.12.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 12/12/2019] [Accepted: 12/19/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Patients admitted to an intensive care unit (ICU) frequently suffer from multiple chronic diseases, including obstructive sleep apnea (OSA). Until recently OSA was not considered as a key determinant in an ICU patient's prognosis. The objective of this study was to document the impact of OSA on the prognosis of ICU patients. METHODS Data were retrospectively collected concerning adult patients admitted to ICU at two university hospitals. In a nested study OSA status was checked using the hospital electronic medical records to identify exposed and unexposed cases. The following outcomes were considered: length of stay in the ICU, ICU mortality, in-hospital mortality, ventilator-associated pneumonia (VAP). RESULTS Out of 5146 patients included in the study, 289 had OSA at ICU admission (5.6%). After matching, the overall impact of OSA on length of ICU stay was not significant (p = .24). In a predefined subgroup analysis, there was a significant impact of OSA on the length of ICU stay for patients with BMI over 40 kg/m2 (IRR: 1.56 [1.05; 2.32], p = .03). OSA status had no impact on ICU or hospital mortality and VAP. CONCLUSION In general, known OSA did not increase the ICU stay except for patients with both OSA and morbid obesity.
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Affiliation(s)
- Sébastien Bailly
- Univ. Grenoble Alpes, INSERM U1042, HP2, 38000 Grenoble, France; EFCR laboratory, Grenoble Alpes University Hospital, Grenoble, France.
| | - Louis-Marie Galerneau
- Univ. Grenoble Alpes, INSERM U1042, HP2, 38000 Grenoble, France; Intensive Care Unit, Grenoble Alpes University Hospital, Grenoble, France
| | - Stéphane Ruckly
- INSERM U1137, Université Paris Diderot, Sorbonne Paris Cite, Paris, France
| | - Alexandre Seiller
- INSERM U1137, Université Paris Diderot, Sorbonne Paris Cite, Paris, France
| | - Nicolas Terzi
- Univ. Grenoble Alpes, INSERM U1042, HP2, 38000 Grenoble, France; Intensive Care Unit, Grenoble Alpes University Hospital, Grenoble, France
| | - Carole Schwebel
- Intensive Care Unit, Grenoble Alpes University Hospital, Grenoble, France; INSERM U1039 Radiopharmaceutiques Biocliniques, Grenoble, France
| | - Claire Dupuis
- INSERM U1137, Université Paris Diderot, Sorbonne Paris Cite, Paris, France; Medical and Infectious Intensive Care Unit, Bichat Claude Bernard University Hospital, AP-HP, Paris, France
| | - Renaud Tamisier
- Univ. Grenoble Alpes, INSERM U1042, HP2, 38000 Grenoble, France; EFCR laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Bernard Mourvillier
- INSERM U1137, Université Paris Diderot, Sorbonne Paris Cite, Paris, France; Medical and Infectious Intensive Care Unit, Bichat Claude Bernard University Hospital, AP-HP, Paris, France
| | - Jean-Louis Pepin
- Univ. Grenoble Alpes, INSERM U1042, HP2, 38000 Grenoble, France; EFCR laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Jean-François Timsit
- INSERM U1137, Université Paris Diderot, Sorbonne Paris Cite, Paris, France; Medical and Infectious Intensive Care Unit, Bichat Claude Bernard University Hospital, AP-HP, Paris, France
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12
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Wang H, Lee CC, Chou EH, Hsu WT, Robinson RD, Su KY, Kirby JJ, Hassani D. Mortality association between obesity and pneumonia using a dual restricted cohort model. Obes Res Clin Pract 2019; 13:561-570. [PMID: 31635969 DOI: 10.1016/j.orcp.2019.10.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND An obesity survival paradox has been reported among obese patients with pneumonia. AIMS To determine the impact of obesity on pneumonia outcomes and analyze the correlation between in-hospital all-cause mortality and obesity among patients with pneumonia. METHODS The United States Nationwide Readmissions Database (NRD) was retrospectively analyzed for patients with pneumonia from 2013 to 2014. We used a step-wise restricted and propensity score matching cohort model (dual model) to compare mortality rates and other outcomes among pneumonia patients based on BMI. Mortality was calculated by a Cox proportional hazard model, adjusted for potential confounders with propensity score matched analysis. RESULTS A total of 70,886,775 patients were registered in NRD during the study period. Of these, 7,786,913 patients (11.0%) were considered obese and 1,652,456 patients (2.3%) were admitted to the hospital with pneumonia. Based on the step-wise restricted cohort model, the hazard ratio comparing the mortality rates among obese pneumonia patients to mortality rates among normal BMI pneumonia patients was 0.75 (95% CI 0.60-0.94). The propensity score matched analysis estimated a hazard rate of 0.84 (95% CI 0.79-0.90) and the hazard ratio estimated from the dual model was 0.82 (95% CI 0.63-1.07). CONCLUSIONS With the application of a dual model, there appears to be no significant difference in mortality of obese patients with pneumonia compared to normal BMI patients with pneumonia.
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Affiliation(s)
- Hao Wang
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Number 7, Chung-Shan South Road, Taipei 100, Taiwan.
| | - Eric H Chou
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Wan-Ting Hsu
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Richard D Robinson
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA; Department of Medical Education, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX 76107, USA
| | - Ke-Ying Su
- Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Number 7, Chung-Shan South Road, Taipei 100, Taiwan
| | - Jessica J Kirby
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
| | - Dahlia Hassani
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA
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Kashlan KN, Williams AM, Chang SS, Yaremchuk KL, Mayerhoff R. Analysis of patient factors associated with 30‐day mortality after tracheostomy. Laryngoscope 2018; 129:847-851. [DOI: 10.1002/lary.27345] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2018] [Indexed: 11/12/2022]
Affiliation(s)
- Khaled N. Kashlan
- Department of OtolaryngologyHenry Ford Hospital Detroit Michigan U.S.A
| | - Amy M. Williams
- Department of OtolaryngologyHenry Ford Hospital Detroit Michigan U.S.A
| | - Steven S. Chang
- Department of OtolaryngologyHenry Ford Hospital Detroit Michigan U.S.A
| | | | - Ross Mayerhoff
- Department of OtolaryngologyHenry Ford Hospital Detroit Michigan U.S.A
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Fu LY, Wang XX, Wu X, Li B, Huang LL, Li BB, Du QF, Wang PX. Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China. PLoS One 2018; 13:e0203034. [PMID: 30153292 PMCID: PMC6112645 DOI: 10.1371/journal.pone.0203034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 08/14/2018] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES Sickness situation in the past two weeks, an indicator of health service needs, is an increasing major health concern. However, data on the relationship between obesity and two-week morbidity in the female population, particularly in middle-aged and elderly women, is sparse. The present study aimed to examine the association between obesity and two-week morbidity among middle-aged and elderly women in Southern China, and to explore the independent contributions of socio-demographic variables, health-related factors, and obesity to two-week morbidity. METHODS In total, 2364 middle-aged and elderly women were included in this cross-sectional, community-based survey. Obesity was assessed using body mass index (BMI). The outcome variable was sickness situation over the past two weeks (two-week morbidity). Clustered logistic regression was applied to analyze the independent contribution of obesity to two-week morbidity. RESULTS Approximately 14.6% of participants experienced sickness in the past two weeks. Obesity (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.02-2.12) was significantly associated with two-week morbidity and its independent contribution accounted for 3.7%, lower than that of socio-demographic variables (73.7%) and health-related factors(22.6%). CONCLUSIONS Some degree of correlation was observed between obesity and two-week morbidity among middle-aged and elderly women in Southern China, which can be used as a reference for health-related decision-making.
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Affiliation(s)
- Li-Ying Fu
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
- General Practice Center, Nanhai Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Xiao-Xiao Wang
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
- Nursing Department, Tongji Hospital, Tongji Medical college, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xiao Wu
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
| | - Bo Li
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
| | - Ling-Ling Huang
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
| | - Bing-Bing Li
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
| | - Qing-Feng Du
- General Practice Center, Nanhai Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
- * E-mail: (QFD); (PXW)
| | - Pei-Xi Wang
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan Province, China
- General Practice Center, Nanhai Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong Province, China
- * E-mail: (QFD); (PXW)
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15
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Zhao Y, Li Z, Yang T, Wang M, Xi X. Is body mass index associated with outcomes of mechanically ventilated adult patients in intensive critical units? A systematic review and meta-analysis. PLoS One 2018; 13:e0198669. [PMID: 29883469 PMCID: PMC5993298 DOI: 10.1371/journal.pone.0198669] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 05/23/2018] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Obesity paradox refers to lower mortality in subjects with higher body mass index (BMI), and has been documented under a variety of condition. However, whether obesity paradox exists in adults requiring mechanical ventilation in intensive critical units (ICU) remains controversial. METHODS MEDLINE, EMBASE, China Biology Medicine disc (CBM) and CINAHL electronic databases were searched from the earliest available date to July 2017, using the following search terms: "body weight", "body mass index", "overweight" or "obesity" and "ventilator", "mechanically ventilated", "mechanical ventilation", without language restriction. Subjects were divided into the following categories based on BMI (kg/m2): underweight, < 18.5 kg/m2; normal, 18.5-24.9 kg/m2; overweight, BMI 25-29.9 kg/m2; obese, 30-39.9 kg/m2; and severely obese > 40 kg/m2. The primary outcome was mortality, and included ICU mortality, hospital mortality, short-term mortality (<6 months), and long-term mortality (6 months or beyond). Secondary outcomes included duration of mechanical ventilation, length of stay (LOS) in ICU and hospital. A random-effects model was used for data analyses. Risk of bias was assessed using the Newcastle-Ottawa quality assessment scale. RESULTS A total of 15,729 articles were screened. The final analysis included 23 articles (199,421 subjects). In comparison to non-obese patients, obese patients had lower ICU mortality (odds ratio (OR) 0.88, 95% CI 0.0.84-0.92, I2 = 0%), hospital mortality (OR 0.83, 95% CI 0.74-0.93, I2 = 52%), short-term mortality (OR 0.81, 95% CI 0.74-0.88, I2 = 0%) as well as long-term mortality (OR 0.69, 95% CI 0.60-0.79, I2 = 0%). In comparison to subjects with normal BMI, obese patients had lower ICU mortality (OR 0.88, 95% CI 0.82-0.93, I2 = 5%). Hospital mortality was lower in severely obese and obese subjects (OR 0.71, 95% CI 0.53-0.94, I2 = 74%, and OR 0.80, 95% CI 0.73-0.89, I2 = 30%). Short-term mortality was lower in overweight and obese subjects (OR 0.82, 95% CI 0.75-0.90, I2 = 0%, and, OR 0.75, 95% CI 0.66-0.84, I2 = 8%, respectively). Long-term mortality was lower in severely obese, obese and overweight subjects (OR 0.39, 95% CI 0.18-0.83, and OR 0.63, 95% CI 0.46-0.86, I2 = 56%, and OR 0.66, 95% CI 0.57-0.77, I2 = 0%). All 4 mortality measures were higher in underweight subjects than in subjects with normal BMI. Obese subjects had significantly longer duration on mechanical ventilation than non-obese group (mean difference (MD) 0.48, 95% CI 0.16-0.80, I2 = 37%), In comparison to subjects with normal BMI, severely obese BMI had significantly longer time in mechanical ventilation (MD 1.10, 95% CI 0.38-1.83, I2 = 47%). Hospital LOS did not differ between obese and non-obese patients (MD 0.05, 95% CI -0.52 to 0.50, I2 = 80%). Obese patients had longer ICU LOS than non-obese patients (MD 0.38, 95% CI 0.17-0.59, I2 = 70%). Hospital LOS and ICU LOS did not differ significantly in subjects with different BMI status. CONCLUSIONS In ICU patients receiving mechanical ventilation, higher BMI is associated with lower mortality and longer duration on mechanical ventilation.
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Affiliation(s)
- Yonghua Zhao
- Department of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China
- Department of Critical Care Medicine, Langfang People’s Hospital, Langfang, China
| | - Zhiqiang Li
- Department of Critical Care Medicine, Hebei United University Affiliated Hospital, Tangshan, China
| | - Tao Yang
- Department of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Meiping Wang
- Department of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Xiuming Xi
- Department of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China
- * E-mail:
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16
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How does prior health status (age, comorbidities and frailty) determine critical illness and outcome? Curr Opin Crit Care 2018; 22:500-5. [PMID: 27478965 DOI: 10.1097/mcc.0000000000000342] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF REVIEW Critical illness has a significant impact on an individual's physical and mental health. However, it is less clear to what degree outcomes after critical illness are due to patients' preexisting characteristics, rather than the critical illness itself. In this review, we summarize recent findings regarding the role of age, comorbidity and frailty on long-term outcomes after critical illness. RECENT FINDINGS Age, comorbidity and frailty are all associated with an increased risk of critical illness. Although severity of illness drives the risk of acute mortality, recent data suggest that longer term outcomes are much more closely aligned with prior health status. There are growing data regarding the important role of noncardiovascular comorbidity, including psychiatric illness and obesity, in determining long-term outcomes. Finally, preadmission frailty is associated with poor long-term outcomes after critical illness; further data are needed to evaluate the attributable impact of critical illness on the health trajectories of frail individuals. SUMMARY Age, comorbidity and frailty play a critical role in determining the long-term outcomes of patients requiring intensive care.
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Davis ET, Xie L, Levenbrown Y. Impact of Obesity on Outcomes in Critically Ill Children. JPEN J Parenter Enteral Nutr 2017; 42:148607117725043. [PMID: 28793199 DOI: 10.1177/0148607117725043] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE To examine whether obesity confers a protective effect on critically ill pediatric patients, similar to what has been reported in critically ill adults. METHODS A retrospective cohort study including patients aged 2-18 years admitted to a 24-bed pediatric intensive care unit from 2009 to 2014. Patients were divided into 1 of 3 weight categories: normal weight (body mass index [BMI], 5%-84.9%), overweight (BMI, 85%-94.9%), and obese (BMI ≥95%). Outcomes investigated included mortality, need for intubation, need for inotropic support, and duration of mechanical ventilation. RESULTS A total of 1817 patient encounters met inclusion criteria. There was no difference in Pediatric Index of Mortality 2 scores between groups. There was a significantly smaller percentage of overweight and obese patients requiring intubation ( P = .003) and inotropic support ( P = .031) compared with normal-weight patients. Being overweight or obese was neither protective nor a risk factor for mortality with an adjusted odds ratio of 1.83 (confidence interval [CI], 0.82-3.85; P = .12) and 1.51 (CI, 0.70-3.12; P = .27) comparing the overweight and obese groups with the normal-weight group, respectively. There was no difference in duration of mechanical ventilation between the normal-weight and overweight and obese groups ( P = .893 and 0.484, respectively). CONCLUSIONS In critically ill pediatric patients, being overweight or obese was associated with decreased need for intubation and inotropic support compared with normal-weight patients. However, being overweight or obese is neither protective nor a risk factor for mortality or duration of mechanical ventilation.
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Affiliation(s)
- Esther T Davis
- 1 Department of Pediatrics, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware, USA
- 4 Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Li Xie
- 2 Department of Biomedical Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware, USA
| | - Yosef Levenbrown
- 3 Department of Critical Care, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware, USA
- 4 Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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Abstract
PURPOSE OF REVIEW Obesity has been recognized as an impactful comorbid condition. It has been demonstrated to be an independent risk factor for morbidity and mortality following trauma. RECENT FINDINGS Multiple studies and reviews have strongly suggested obesity to be associated with increased risk for post-injury morbidity and mortality. As obesity is associated with a pro-inflammatory state, it has been suggested to negatively affect the respiratory, cardiovascular, coagulation, and renal systems and the ability and manner in which an obese patient heals. As obesity continues to rise at alarming rates in the USA, this population of patients requires special consideration and continued research is underway to delineate relationships between obesity, trauma, and outcomes in an effort to improve overall care.
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Affiliation(s)
- Tejal S Brahmbhatt
- Boston University School of Medicine, 840 Harrison Ave, Dowling 2 South, Boston, MA, 02118, USA.
| | - Michael Hernon
- Boston University School of Medicine, 840 Harrison Ave, Dowling 2 South, Boston, MA, 02118, USA
| | - Charles Jeffrey Siegert
- Boston University School of Medicine, 840 Harrison Ave, Dowling 2 South, Boston, MA, 02118, USA
| | - Leneé Plauché
- Boston University School of Medicine, 840 Harrison Ave, Dowling 2 South, Boston, MA, 02118, USA
| | - Lorrie S Young
- Boston Medical Center, Instructor of Medicine, 717 Albany St, Boston, MA, 02118, USA
| | - Peter Burke
- Boston University School of Medicine, 840 Harrison Ave, Dowling 2 South, Boston, MA, 02118, USA
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[Above and beyond BMI : Alternative methods of measuring body fat and muscle mass in critically ill patients and their clinical significance]. Anaesthesist 2017; 65:655-62. [PMID: 27411524 DOI: 10.1007/s00101-016-0205-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Obesity leads to better survival in critically ill patients. Although there are several studies confirming this thesis, the "obesity paradox" is still surprising from the clinician's perspective. One explanation for the "obesity paradox" is the fact that the body mass index (BMI), which is used in almost all clinical evaluations to determine weight categories, is not an appropriate measure of fat and skeletal muscle mass and its distribution in critically ill patients. In addition, height and weight are frequently estimated rather than measured. Central obesity has been identified in many disorders as an independent risk factor for an unfavourable outcome. The first clues are to be found in intensive care. Along with obesity, an individual's entire muscle mass is a variable that has an influence on outcome. Central obesity can be measured relatively easily with an abdominal calliper, but the calculation of muscle mass is more complex. A valid and detailed measurement of this can be obtained using computed tomography (CT) images, acquired during routine care. For future clinical observation or interventional studies, single cross-sectional CT is a more sophisticated tool for measuring patients' anthropometry than a measuring tape and callipers. Patients with sarcopenic obesity, for example, who may be at a particular risk, can only be identified using imaging procedures such as single cross-sectional CT. Thus, BMI should take a back seat as an anthropometric tool, both in the clinic and in research.
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Abstract
Sepsis is recognized by the presence of physiologic and laboratory changes that reflect the inflammatory response to infection on cellular and systemic levels. Comorbid conditions, such as cirrhosis, end-stage renal disease, and obesity, alter patients' susceptibility to infection and their response to it once present. Baseline changes in vital signs and chronic medications often mask clues to the severity of illness. The physiologic, hematologic, and biochemical adjustments that accompany pregnancy and the puerperium introduce similar challenges. Emergency providers must remain vigilant for subtle alterations in the expected baseline for these conditions to arrive at appropriate management decisions.
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Affiliation(s)
- Matthew P Borloz
- Department of Emergency Medicine, Virginia Tech Carilion School of Medicine, One Riverside Circle, Roanoke, VA 24016, USA.
| | - Khalief E Hamden
- Department of Emergency Medicine, Virginia Tech Carilion School of Medicine, One Riverside Circle, Roanoke, VA 24016, USA
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22
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Dennis DM, Bharat C, Paterson T. Prevalence of obesity and the effect on length of mechanical ventilation and length of stay in intensive care patients: A single site observational study. Aust Crit Care 2016; 30:145-150. [PMID: 27522470 DOI: 10.1016/j.aucc.2016.07.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 07/15/2016] [Accepted: 07/19/2016] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES To provide a snapshot of the prevalence of abnormal body mass index (BMI) in a sample of intensive care unit (ICU) patients; to identify if any medical specialty was associated with abnormal BMI and to explore associations between BMI and ICU-related outcomes. BACKGROUND Obesity is an escalating public health issue across developed nations but there is little data pertaining to critically ill patients who require care that is expensive. METHODS Retrospective observational audit of 735 adult patients (median age 58 years) admitted to the Sir Charles Gairdner Hospital 23 bed tertiary ICU between November 2012 and June 2014. Primary outcome measure was patient BMI: underweight (<18.5kg/m2), normal weight (18.5-24.99kg/m2), overweight (25-29.99kg/m2), obese (30-39.99kg/m2) or extreme obese (40kg/m2 or above). Other measures included gender, acute physiology and chronic health evaluation II score, admission specialty, length of mechanical ventilation (MV), length of stay (LOS) and mortality. RESULTS Compared to the general population there was a higher proportion of obese patients within the cohort with the majority of patients overweight (33.9%) or obese (36.5%) and median BMI of 27.9 (IQR 7.9). There were no significant differences between specialties for BMI (p=0.103) and abnormal BMI was not found to impact negatively on mortality (ICU, p=0.373; hospital, p=0.330). Normal BMI patients had shorter length of MV than other BMI categories and the impact of BMI on ICU LOS was dependent on length of MV. Overweight patients ventilated for five days or more had a shorter LOS, and extremely obese non-ventilated patients had a longer LOS, compared to normal weight patients. CONCLUSIONS Although the obesity-disease relationship is increasingly complex and data presented reflects categorical BMI for patients admitted to a single ICU site it may be important to consider the cost implications of caring for this cohort especially with regard to MV and LOS.
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Affiliation(s)
- Diane M Dennis
- Sir Charles Gairdner Hospital, Intensive Care Unit, Hospital Ave., Nedlands, WA 6009, Australia.
| | - Chrianna Bharat
- University of Western Australia, Centre for Applied Statistics, Stirling Highway, Crawley, WA 6009, Australia; Sir Charles Gairdner Hospital, Department of Research, Hospital Ave., Nedlands, WA 6009, Australia
| | - Timothy Paterson
- Sir Charles Gairdner Hospital, Intensive Care Unit, Hospital Ave., Nedlands, WA 6009, Australia
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Dennis DM, Trevenen M. Prevalence of obesity in an intensive care unit patient population. Intensive Crit Care Nurs 2016; 35:52-6. [PMID: 27210773 DOI: 10.1016/j.iccn.2016.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 02/02/2016] [Accepted: 02/12/2016] [Indexed: 01/23/2023]
Abstract
BACKGROUND The Australian health survey (2011-2012) reported that 63.4% of Australian adults were overweight or obese. Critical care medicine is expensive, with intensive care unit (ICU) services accounting for a substantial proportion of total hospital costs. These costs may be multiplied in the overweight cohort. OBJECTIVES The primary aim was to compare the body mass index (BMI) of a critically ill ICU patient cohort to Australian population norms in order to see if overweight people were over-represented. The secondary aim was to identify if any medical specialty was associated with overweight patients. METHODS A retrospective observational case note audit of 230 ICU patients between November 2012 and August 2013, with BMI as the primary outcome measure. RESULTS Approximately 75% of the cohort were overweight or obese (median BMI 28.7; IQR 25.0-32.7) representing a rate 12% higher than Australian normative data. Based on population, this equates to an estimated additional 5279 unanticipated overweight or obese ICU patients at our facility during 2013. CONCLUSIONS This study has shown that Australian ICU patients may have higher BMI than those of the general Australian population, and therefore there may be unanticipated costs associated with their care. No medical specialty was associated with higher BMI than another.
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Affiliation(s)
- Diane M Dennis
- Intensive Care Unit, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands, Western Australia 6009, Australia.
| | - Michelle Trevenen
- University of Western Australia, Centre for Applied Statistics, Department of Research, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands, Western Australia 6009, Australia.
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Abstract
The steady growing prevalence of critically ill obese patients is posing diagnostic and management challenges across medical and surgical intensive care units. The impact of obesity in the critically ill patients may vary by type of critical illness, obesity severity (obesity distribution) and obesity-associated co-morbidities. Based on pathophysiological changes associated with obesity, predominately in pulmonary reserve and cardiac function, critically ill obese patients may be at higher risk for acute cardiovascular, pulmonary and renal complications in comparison to non-obese patients. Obesity also represents a dilemma in the management of other critical care areas such as invasive mechanical ventilation, mechanical ventilation liberation, hemodynamic monitoring and pharmacokinetics dose adjustments. However, despite higher morbidity associated with obesity in the intensive care unit (ICU), a paradoxical lower ICU mortality ("obesity paradox") is demonstrated in comparison to non-obese ICU patients. This review article will focus on the unique pathophysiology, challenges in management, and outcomes associated with obesity in the ICU.
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Affiliation(s)
- Bernardo J Selim
- a Mayo Clinic Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine , Mayo Clinic , Rochester , MN , USA
| | - Kannan Ramar
- a Mayo Clinic Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine , Mayo Clinic , Rochester , MN , USA
| | - Salim Surani
- b Division of Pulmonary and Critical Care Medicine , Texas A&M University , College Station , TX , USA
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25
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Spécificités du sevrage ventilatoire du patient obèse en réanimation. MEDECINE INTENSIVE REANIMATION 2015. [DOI: 10.1007/s13546-015-1088-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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