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Mauser M, Kruger D, Pather S, Plani F. Compromised Gut Associated Lymphoid Tissue is a Risk Factor for Postoperative Septic Complications in HIV-Seropositive Trauma Patients. World J Surg 2021; 45:1006-1013. [PMID: 33433725 PMCID: PMC7802609 DOI: 10.1007/s00268-020-05899-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/27/2020] [Indexed: 12/04/2022]
Abstract
Background The gut associated lymphoid tissue (GALT) is an important part of the immune system and compromised in HIV treatment-naïve as well as in HIV-seropositive patients on antiretroviral treatment (ART) due to HIV-induced changes. The influence of the impaired GALT on the postoperative complication rate after surgery for penetrating abdominal trauma has not been investigated and the hypothesis that the HIV-induced changes of the GALT contribute to septic complications postoperatively was tested. Material and methods This prospective study included patients who required a small bowel resection due to abdominal gunshot wounds. A bowel specimen was obtained in the index operation, and the T-lymphocytic quantity in the specimen was analyzed via immunohistochemistry to scrutinize whether these lymphocyte numbers had an impact on the postoperative outcome. Septic and postoperative complications were documented during the in-hospital course and the first month after discharge. Results In total, 62 patients were included in the study of which 38 patients were HIV-seronegative and 24 were HIV-seropositive. HIV-seropositive patients had a significantly lower quantity of CD4 + T cells in the GALT compared to the HIV-seronegative patients (p = 0.0001), which was also associated with a significantly higher rate of septic complications in the postoperative course. In the HIV-seropositive group, no significant differences were detected for T-lymphocytic quantity in the GALT between the HIV-treatment naïve and antiretroviral treatment groups. Conclusion The compromised GALT in HIV-seropositive patients may predispose these patients to postoperative septic complications. Antiretroviral therapy does not result in an adequate immune reconstitution in this tissue.
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Affiliation(s)
- Martin Mauser
- Department of Surgery, Faculty of Health Sciences, Chris Hani Baragwanath Academic Hospital, University of the Witwatersrand, York Road, Johannesburg, Parktown, Gauteng South Africa
| | - Deirdré Kruger
- Department of Surgery, Faculty of Health Sciences, University of the Witwatersrand, York Road, Johannesburg, Parktown, Gauteng South Africa
| | - Sugeshnee Pather
- National Health Laboratory Service, Chris Hani Baragwanath Academic Hospital, Faculty of Health Sciences, School of Pathology, University of the Witwatersrand, Johannesburg, Parktown, Gauteng South Africa
| | - Frank Plani
- Chris Hani Baragwanath Academic Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Parktown, Gauteng South Africa
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Hou X, Wang D, Zuo J, Li J, Wang T, Guo C, Peng F, Su D, Zhao L, Ye Z, Zhang H, Zheng C, Mao G. Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort. EBioMedicine 2019; 48:414-424. [PMID: 31594752 PMCID: PMC6838367 DOI: 10.1016/j.ebiom.2019.09.031] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 09/28/2019] [Accepted: 09/28/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate forecast of the death risk is crucial to the administration of people living with HIV/AIDS (PLHIV). We aimed to establish and validate an effective prognosis nomogram in PLHIV receiving antiretroviral therapy (ART). METHODS All the data were obtained from 2006 to 2018 in the Wenzhou area from China AIDS prevention and control information system. Factors included in the nomogram were determined by univariate and multiple Cox proportional hazard analysis based on the training set. The receiver operating characteristic (ROC) and calibration curves were used to assess its predictive accuracy and discriminative ability. Its clinical utility was also evaluated using decision curve analysis (DCA), X-tile analysis and Kaplan-Meier curve, respectively in an independent validation set. FINDINGS Independent prognostic factors including haemoglobin, viral load and CD4+ T-cell count were determined and contained in the nomogram. Good agreement between the prediction by nomogram and actual observation could be detected in the calibration curve for mortality, especially in the first year. In the training cohort, AUC (95% CI) and C-index (95% CI) were 0.93 (0.90, 0.96) and 0.90 (0.85, 0.96), respectively. In the validation set, the nomogram still revealed excellent discriminations [AUC (95% CI): 0.95 (0.91, 1.00)] and good calibration [C-index (95% CI): 0.92 (0.82-1.00)]. Moreover, DCA also demonstrated that the nomogram was clinical beneficial. Additionally, participants could be classified into three distinct (low, middle and high) risk groups by the nomogram. INTERPRETATION The nomogram presents accurate and favourable prognostic prediction for PLHIV who underwent ART. FUNDING This work was supported by Zhejiang Basic Public Welfare Research Project (LGF19H260011), Wenzhou Basic Public Welfare Research Project (Y20180201), the Initial Scientific Research Fund (KYQD170301), the Major Project of the Eye Hospital Wenzhou the Major Project of the Eye Hospital Wenzhou Medical University (YNZD201602). Part of this work was also funded by National Natural Science Foundation of China (81670777) and Science and Technology Innovation Activity Plan and New Talents Plan for College Students in Zhejiang Province (2019R413073). The funders had no roles in study design, data collection, data analysis, interpretation and writing of the report.
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Affiliation(s)
- Xiangqing Hou
- Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Dayong Wang
- Wenzhou Center for Disease Prevention and Control, Wenzhou, Zhejiang, 325000, China
| | - Jingjing Zuo
- School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China
| | - Jushuang Li
- Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Tao Wang
- Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Chengnan Guo
- Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Fang Peng
- Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Dehua Su
- Wenzhou Center for Disease Prevention and Control, Wenzhou, Zhejiang, 325000, China
| | - Lina Zhao
- Wenzhou Center for Disease Prevention and Control, Wenzhou, Zhejiang, 325000, China
| | - Zhenmiao Ye
- Wenzhou Center for Disease Prevention and Control, Wenzhou, Zhejiang, 325000, China
| | - Hemei Zhang
- Wenzhou Center for Disease Prevention and Control, Wenzhou, Zhejiang, 325000, China
| | - Chao Zheng
- The Second Affiliated Hospital of Zhejiang University School of Medicine, No.88, Jiefang Road, Hangzhou, Zhejiang, 310000, China
| | - Guangyun Mao
- Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
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King JT, Perkal MF, Rosenthal RA, Gordon AJ, Crystal S, Rodriguez-Barradas MC, Butt AA, Gibert CL, Rimland D, Simberkoff MS, Justice AC. Thirty-day postoperative mortality among individuals with HIV infection receiving antiretroviral therapy and procedure-matched, uninfected comparators. JAMA Surg 2015; 150:343-51. [PMID: 25714794 DOI: 10.1001/jamasurg.2014.2257] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
IMPORTANCE Antiretroviral therapy (ART) has converted human immunodeficiency virus (HIV) infection into a chronic condition, and patients now undergo a variety of surgical procedures, but current surgical outcomes are inadequately characterized. OBJECTIVE To compare 30-day postoperative mortality in patients with HIV infection receiving ART with the rates in uninfected individuals. DESIGN, SETTING, AND PARTICIPANTS Retrospective analysis of nationwide electronic medical record data from the US Veterans Health Administration Healthcare System, October 1, 1996, to September 30, 2010. Common inpatient surgical procedures were grouped using the Healthcare Cost and Utilization Project Clinical Classification System to match HIV-infected and uninfected patients in a 1:2 ratio. Data on 1641 patients with HIV infection receiving combination ART who were undergoing inpatient surgery were compared with data on 3282 procedure-matched, uninfected comparators. Poisson regression models of 30-day postoperative mortality were adjusted for procedure year, age, Charlson Comorbidity Index score, hemoglobin level, albumin level, HIV infection, CD4 cell count, and HIV-1 RNA level. MAIN OUTCOMES AND MEASURES All-cause 30-day postoperative mortality. RESULTS The most common procedures in both groups were cholecystectomy (10.5%), hip arthroplasty (10.5%), spine surgery (9.8%), herniorrhaphy (7.4%), and coronary artery bypass grafting (7.0%). In patients with HIV infection, CD4 cell distributions were 80.0% with 200/μL or more, 16.3% with 50/μL to 199/μL, and 3.7% with less than 50/μL; 74.1% of patients with HIV infection had undetectable HIV-1 RNA. Human immunodeficiency virus infection was associated with higher 30-day postoperative mortality compared with the mortality in uninfected patients (3.4% [56 patients]) vs 1.6% [53]); incidence rate ratio [IRR], 2.11; 95% CI, 1.41-3.17; P < .001). CD4 cell count was inversely associated with mortality, but HIV-1 RNA provided no additional information. After adjustment, patients with HIV infection had increased mortality compared with uninfected patients at all CD4 cell count strata (≥500/μL: IRR, 1.92; 95% CI, 1.02-3.60; P = .04; 200-499/μL: IRR, 1.89; 95% CI, 1.20-2.98; P = .01; 50-199/μL: IRR, 2.66; 95% CI, 1.29-5.47; P = .01; and <50/μL: IRR, 6.21; 95% CI, 3.55-10.85; P < .001). Hypoalbuminemia (IRR, 4.35; 95% CI, 2.78-6.81; P < .001) and age in decades (IRR, 1.47; 95% CI, 1.23-1.76; P < .001) were also strongly associated with mortality. CONCLUSIONS AND RELEVANCE Current postoperative mortality rates among individuals with HIV infection who are receiving ART are low and are influenced as much by hypoalbuminemia and age as by CD4 cell status. Human immunodeficiency virus infection and CD4 cell count are only 2 of many factors associated with surgical outcomes that should be incorporated into surgical decision making.
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Affiliation(s)
- Joseph T King
- Section of Neurosurgery, Department of Surgery, Veterans Affairs (VA) Connecticut Healthcare System, West Haven2Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Melissa F Perkal
- Section of General Surgery, Department of Surgery, VA Connecticut Healthcare System, West Haven4Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Ronnie A Rosenthal
- Section of General Surgery, Department of Surgery, VA Connecticut Healthcare System, West Haven4Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Adam J Gordon
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania6Department of Medicine, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania7Division of Infectious Diseases, Department of Medicine, University of Pittsbur
| | - Stephen Crystal
- Center for Health Services Research on Pharmacotherapy, Chronic Disease Management, and Outcomes, Rutgers University, New Brunswick, New Jersey
| | - Maria C Rodriguez-Barradas
- Section of Infectious Diseases, Department of Medicine, Michael E. DeBakey VA Medical Center, Houston, Texas10Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Adeel A Butt
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania6Department of Medicine, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania7Division of Infectious Diseases, Department of Medicine, University of Pittsbur
| | - Cynthia L Gibert
- Section of Infectious Diseases, Medical Service, VA Medical Center, Washington, DC12Department of Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - David Rimland
- Division of Infectious Diseases, Department of Medicine, Atlanta VA Medical Center, Atlanta, Georgia14Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Michael S Simberkoff
- Section of Infectious Diseases, Department of Medicine, VA New York Harbor Healthcare System, New York, New York16Section of Infectious Diseases, Department of Medicine, New York University School of Medicine, New York
| | - Amy C Justice
- Section of General Internal Medicine, Department of Medicine, VA Connecticut Healthcare System, West Haven18Section of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
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Development of a prognostic score using the complete blood cell count for survival prediction in unselected critically ill patients. BIOMED RESEARCH INTERNATIONAL 2013; 2013:105319. [PMID: 23555073 PMCID: PMC3600249 DOI: 10.1155/2013/105319] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/04/2012] [Revised: 01/30/2013] [Accepted: 01/30/2013] [Indexed: 01/05/2023]
Abstract
Objective. The purpose of this study was to develop a new prognostic scoring system for critically ill patients using the simple complete blood cell count (CBC). Methods. CBC measurements in samples from 306 patients in an intensive care unit were conducted with automated analyzers, including levels of neutrophils, lymphocytes, erythrocytes, hemoglobin, and platelets. The time of sampling and the time of death were recorded. Z values were calculated according to the measured values, reference mean values, and standard deviations. The prognostic score was equivalent to the median of the Z value of each of the measured parameters. Results. There was a significant correlation between survival time and neutrophil, lymphocyte, and platelet levels (P < 0.05). Prognostic scores were calculated from the Z value of these three parameters. Survival times decreased as the prognostic score increased. Conclusions. This study suggests that a model that uses levels of neutrophils, lymphocytes, and platelets is potentially useful in the objective evaluation of survival time or disease severity in unselected critically ill patients.
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