In-hospital Mortality and Causes of Death in People Diagnosed With HIV in a General Hospital in Shenyang, China: A Cross-Sectional Study

Background: Acquired immune deficiency syndrome (AIDS), caused by human immunodeficiency virus (HIV) infection, is a serious public health issue. This study investigated the correlated factors and possible changing trend of in-hospital death in patients diagnosed with HIV in the past decade in our hospital.Methods: We retrospectively collected data of firstly hospitalized patients with HIV in the Department of Infectious Disease in the First Affiliated Hospital of China Medical University from January 1, 2010 to December 31, 2019, and compared various factors that correlated with in-hospital death, including age, sex, opportunistic infections, and antiretroviral therapy (ART) status. Cox regression analysis was used to identify the risk factors for death.Results: In total, 711 patients were recruited for this study, and 62 patients died in the hospital. The in-hospital mortality rate was 8.72%. Tuberculosis (TB), malignancies, and thrombocytopenia were associated with mortality. Antiviral treatment before admission was found to be a protective factor. There was a declining trend in in-hospital mortality from 19.2% in 2010 to 6.3% in 2019 (linear-by-linear association test, p < 0.001), partly due to intensified medical care strategy.Conclusions: Till date, AIDS-defining illnesses remain the major cause of hospital admission and in-hospital mortality. TB and malignancies were correlated risk factors for in-hospital mortality. ART before admission was found to be beneficial, and considering the decreasing rate of in-hospital mortality, the implementation of intensified medical care strategy requires further effort.

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Staphylococcus Aureus Bacteriuria as a Predictor of In-Hospital Mortality in Patients with Staphylococcus Aureus Bacteremia. Results of a Retrospective Cohort Study

Journal of Clinical Medicine ◽

10.3390/jcm9020508 ◽

2020 ◽

Vol 9 (2) ◽

pp. 508 ◽

Cited By ~ 1

Author(s):

Tobias Siegfried Kramer ◽

Beate Schlosser ◽

Désirée Gruhl ◽

Michael Behnke ◽

Frank Schwab ◽

...

Keyword(s):

Risk Factors ◽

Staphylococcus Aureus ◽

Cohort Study ◽

Hospital Mortality ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Cox Regression ◽

University Hospital ◽

Hospital Death ◽

Cox Regression Analysis

Staphylococcus aureus bloodstream infection (SA-BSI) is an infection with increasing morbidity and mortality. Concomitant Staphylococcus aureus bacteriuria (SABU) frequently occurs in patients with SA-BSI. It is considered as either a sign of exacerbation of SA-BSI or a primary source in terms of urosepsis. The clinical implications are still under investigation. In this study, we investigated the role of SABU in patients with SA-BSI and its effect on the patients’ mortality. We performed a retrospective cohort study that included all patients in our university hospital (Charité Universitätsmedizin Berlin) between 1 January 2014 and 31 March 2017. We included all patients with positive blood cultures for Staphylococcus aureus who had a urine culture 48 h before or after the first positive blood culture. We identified cases while using the microbiology database and collected additional demographic and clinical parameters, retrospectively, from patient files and charts. We conducted univariate analyses and multivariable Cox regression analysis to evaluate the risk factors for in-hospital mortality. 202 patients met the eligibility criteria. Overall, 55 patients (27.5%) died during their hospital stay. Cox regression showed SABU (OR 2.3), Pitt Bacteremia Score (OR 1.2), as well as moderate to severe liver disease (OR 2.1) to be independent risk factors for in-hospital mortality. Our data indicates that SABU in patients with concurrent SA-BSI is a prognostic marker for in-hospital death. Further studies are needed for evaluating implications for therapeutic optimization.

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Myocardial injury is associated with in-hospital mortality of confirmed or suspected COVID-19 in Wuhan, China: A single center retrospective cohort study

10.1101/2020.03.21.20040121 ◽

2020 ◽

Cited By ~ 13

Author(s):

Fan Zhang ◽

Deyan Yang ◽

Jing Li ◽

Peng Gao ◽

Taibo Chen ◽

...

Keyword(s):

Risk Factors ◽

Hospital Mortality ◽

Cardiac Troponin ◽

Troponin I ◽

Cox Regression ◽

Cardiac Injury ◽

High Sensitivity ◽

Hospital Death ◽

Cox Regression Analysis ◽

D Dimer

AbstractBackgroundSince December 2019, a cluster of coronavirus disease 2019 (COVID-19) occurred in Wuhan, Hubei Province, China and spread rapidly from China to other countries. In-hospital mortality are high in severe cases and cardiac injury characterized by elevated cardiac troponin are common among them. The mechanism of cardiac injury and the relationship between cardiac injury and in-hospital mortality remained unclear. Studies focused on cardiac injury in COVID-19 patients are scarce.ObjectivesTo investigate the association between cardiac injury and in-hospital mortality of patients with confirmed or suspected COVID-19.MethodsDemographic, clinical, treatment, and laboratory data of consecutive confirmed or suspected COVID-19 patients admitted in Wuhan No.1 Hospital from 25th December, 2019 to 15th February, 2020 were extracted from electronic medical records and were retrospectively reviewed and analyzed. Univariate and multivariate Cox regression analysis were used to explore the risk factors associated with in-hospital death.ResultsA total of 110 patients with confirmed (n=80) or suspected (n=30) COVID-19 were screened and 48 patients (female 31.3%, mean age 70.58±13.38 year old) among them with high-sensitivity cardiac troponin I (hs-cTnI) test within 48 hours after admission were included, of whom 17 (17/48, 35.4%) died in hospital while 31 (31/48, 64.6%) were discharged or transferred to other hospital. High-sensitivity cardiac troponin I was elevated in 13 (13/48, 27.1%) patents. Multivariate Cox regression analysis showed pulse oximetry of oxygen saturation (SpO2) on admission (HR 0.704, 95% CI 0.546-0.909, per 1% decrease, p=0.007), elevated hs-cTnI (HR 10.902, 95% 1.279-92.927, p=0.029) and elevated d-dimer (HR 1.103, 95%CI 1.034-1.176, per 1mg/L increase, p=0.003) on admission were independently associated with in-hospital mortality.ConclusionsCardiac injury defined by hs-cTnI elevation and elevated d-dimer on admission were risk factors for in-hospital death, while higher SpO2 could be seen as a protective factor, which could help clinicians to identify patients with adverse outcome at the early stage of COVID-19.

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COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany

10.21203/rs.3.rs-48983/v1 ◽

2020 ◽

Author(s):

Siegbert Rieg ◽

Maja von Cube ◽

Johannes Kalbhenn ◽

Stefan Utzolino ◽

Katharina Pernice ◽

...

Keyword(s):

Mechanical Ventilation ◽

Hospital Mortality ◽

Cox Regression ◽

Medical Center ◽

Tertiary Care ◽

Study Entry ◽

Hospital Death ◽

Care Model ◽

Cox Regression Analysis ◽

Hospitalised Patients

Abstract BackgroundReported mortality of hospitalised COVID-19 patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under optimised care conditions have not been systematically studied.MethodsThis retrospective observational monocenter cohort study was performed after implementation of a non-restricted, dynamic tertiary care model at the University Medical Center Freiburg, an experienced ARDS and ECMO referral center. All hospitalised patients with PCR-confirmed SARS-CoV-2 infection were included. The primary endpoint was in-hospital mortality, secondary endpoints included major complications and modes of death. A multistate analysis and a Cox regression analysis for competing risk models were performed. Modes of death were determined by two independent reviewers.ResultsBetween February 25, and May 8, 213 patients were included in the analysis. The median age was 65 years, 129 patients (61%) were male. 70 patients (33%) were admitted to the intensive care unit (ICU), of which 57 patients (81%) received mechanical ventilation and 23 patients (33%) extracorporeal membrane-oxygenation (ECMO) support. According to the multistate model the probability to die within 90 days after COVID-19 onset was 24% in the whole cohort. If the levels of care at time of study entry were accounted for, the probabilities to die were 16% if the patient was initially on a regular ward, 47% if in the ICU and 57% if mechanical ventilation was required at study entry. Age ≥ 65 years and male sex were predictors for in-hospital death. Predominant complications – as judged by two independent reviewers – determining modes of death were multi-organ failure, septic shock and thromboembolic and hemorrhagic complications.ConclusionIn a dynamic care model COVID-19-related in-hospital mortality remained substantial. In the absence of potent antiviral agents, strategies to alleviate or prevent the identified complications should be investigated. In this context, multistate analyses enable comparison of models-of-care and treatment strategies and allow estimation and allocation of health care resources.RegistrationGerman Clinical Trials Register (identifier DRKS00021775), retrospectively registered June 10, 2020.

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Incidence, Risk Factors and Mortality Outcome in Patients with Acute Kidney Injury in COVID-19: A Single-Center Observational Study

10.1101/2020.06.24.20138230 ◽

2020 ◽

Cited By ~ 1

Author(s):

Alfano Gaetano ◽

Ferrari Annachiara ◽

Fontana Francesco ◽

Mori Giacomo ◽

Magistroni Riccardo ◽

...

Keyword(s):

Risk Factors ◽

Acute Kidney Injury ◽

Cox Regression ◽

Case Fatality ◽

Kidney Injury ◽

Serum Levels ◽

University Hospital ◽

Hospital Death ◽

Cox Regression Analysis ◽

Incidence Risk

AbstractBackgroundAcute kidney injury (AKI) is a recently recognized complication of coronavirus disease-2019 (COVID-19). This study aims to evaluate the incidence, risk factors and case-fatality rate of AKI in patients with documented COVID-19.MethodsWe reviewed the health medical records of 307 consecutive patients hospitalized for symptoms of COVID-19 at the University Hospital of Modena, Italy.ResultsAKI was diagnosed in 69 out of 307 (22.4%) patients. The stages of AKI were stage 1 in 57.9%, stage 2 in 24.6% and stage 3 in 17.3%. Hemodialysis was performed in 7.2% of the subjects. AKI patients had a mean age of 74.7±9.9 years and higher serum levels of the main marker of inflammation and organ involvement (lung, liver, hearth and liver) than non-AKI patients. AKI events were more frequent in subjects with severe lung comprise. Two peaks of AKI events coincided with in-hospital admission and death of the patients. Kidney injury was associate with a higher rate of urinary abnormalities including proteinuria (0.448±0.85 vs 0.18±0.29; P=<0.0001) and hematuria (P=0.032) compared to non-AKI patients. At the end of follow-up, 65.2% of the patients did not recover their renal function after AKI. Risk factors for kidney injury were age, male sex, CKD and non-renal SOFA. Adjusted Cox regression analysis revealed that AKI was independently associated with in-hospital death (hazard ratio [HR]=3.74; CI 95%, 1.34-10.46) compared to non-AKI patients. Groups of patients with AKI stage 2-3 and failure to recover kidney function were associated with the highest risk of in-hospital mortality. Lastly, long-hospitalization was positively associated with a decrease of serum creatinine, likely due to muscle depletion occurred with prolonged bed rest.ConclusionsAKI was a dire consequence of patients with COVID-19. Identification of patients at high-risk for AKI and prevention of kidney injury by avoiding dehydration and nephrotoxic agents is imperative in this vulnerable cohort of patients.

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Serum Lactate/Albumin as a Predictor of In-Hospital Mortality in ICU Pancreatitis Patients: an Analysis of the MIMIC-III Database

10.21203/rs.3.rs-1166460/v1 ◽

2021 ◽

Author(s):

Peng Bao ◽

Xiaoli Cui ◽

Haoliang Shen ◽

Yiping Wang ◽

Yang Lu

Keyword(s):

Acute Pancreatitis ◽

Hospital Mortality ◽

Cox Regression ◽

Hospital Death ◽

Probability Method ◽

Complication Rates ◽

Cox Regression Analysis ◽

Hospital Deaths ◽

The Relationship ◽

Mimic Iii

Abstract Background: Acute pancreatitis (AP) is a common serious illness, and is characterized by rapid deterioration and a high mortality rate. Several biomarkers can evaluate and guide the treatment of acute pancreatitis, but there is currently no consensus on which markers are the most effective, simple, and economical for treating early-onset AP. In this study, we used the MIMIC III database to conduct a retrospective study on the relationship between early lactate/albumin (LAC/ALB), in-hospital mortality, and complication rates in patients with acute pancreatitis in the ICU.Methods: Basic data and indicators of laboratory tests, hospital deaths, and hospitalization days of acute pancreatitis patients were extracted from the database, after which the relationship between LAC/ALB and hospital mortality, ICU hospitalization days, and organ failure were evaluated using a t-test, a rank-sum test, a chi-square test or Fisher's exact probability method, and a Cox proportional hazard model.Results: 894 patients met the requirements and were selected from the MIMIC III database. They were subsequently grouped according to the lower limit ratio of the LAC/ALB normal value of 0.7. The group with LAC/ALB>0.7 showed higher hospital mortality rates, and the Lac, Inr, nitrogen, blood sugar, AKI incidence, Tbil, Sapsii score, and Sofa scores were all higher than the group with LAC/ALB<0.7. A multivariate Cox regression analysis model was used to explore the relationship between LAC/ALB levels and inpatient mortality. After including different adjustment variables, we determined that LAC/ALB is a risk factor for in-hospital death. The results of the subgroup analysis of LAC/ALB levels and mortality of hospitalized patients indicate that higher levels of LAC/ALB are risk factors for in-hospital deaths in patients with acute pancreatitis.

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Chest radiographic score and lactate dehydrogenase are independent risk factors linked to mortality in Middle East Respiratory Syndrome Coronavirus (MERS-CoV) patients

Egyptian Journal of Radiology and Nuclear Medicine ◽

10.1186/s43055-021-00635-6 ◽

2021 ◽

Vol 52 (1) ◽

Author(s):

Karuna M. Das ◽

Rajvir Singh ◽

Khalid Al Dossari ◽

Sandeep Subramanya ◽

Shreesh Kumar Ojha ◽

...

Keyword(s):

Risk Factors ◽

Middle East ◽

Protective Factor ◽

Cox Regression ◽

Cox Regression Analysis ◽

C Statistic ◽

Radiographic Score ◽

Serum Biochemical ◽

Independent Risk Factors ◽

Recovery Group

Abstract Background Despite the dominance of Covid-19 in the current situation, MERS-CoV is found infrequently in the Middle East. When coupled with the chest radiographic score, serum biochemical parameters may be utilized to assess serum biochemical changes in individuals with different degrees of MERS-CoV infection and to predict death. The purpose of this study was to examine the association between increased LDH levels and severe MERS-CoV outcomes utilizing ventilation days and an elevated chest radiographic score. Results Fifty-seven patients were included in the retrospective cohort. The mean age was 44.9 ± 13.5 years, while the range was between 12 and 73 years. With an average age of 53.3 ± 16.5 years, 18 of 57 (31.6%) patients were classified as deceased. The deceased group showed a substantially greater amount of LDH than the recovery group (280.18 ± 150.79 vs. 1241.72 ± 1327.77, p = 0.007). A cut-off value of > 512 LDH was established with a C-statistic of 0.96 (95% CI 0.92–1.00) and was 94% sensitive and 93% specific for mortality. Multivariate cox regression analysis revealed that loge (LDH) (adjusted HR: 9.91, 95% CI: 2.44–40.3, p = 0.001) and chest radiographic score (adjusted HR: 1.24, 95% CI: 1.05–1.47, p = 0.01) were risk factors for mortality, whereas ventilation days were a protective factor (adjusted HR: 0.84, 95% CI: 0.76–0.93, p = 0.001). Conclusion According to our results, blood LDH levels of > 512 had a 94% sensitivity and 93% specificity for predicting in-hospital mortality in patients infected with MERS-CoV. The chest radiographic score of 11.34 ± 5.4 was the risk factor for the mortality (adjusted Hazard ratio HR: 1.24, 95% CI: 1.05–1.47, p = 0.01). Thus, threshold may aid in the identification of individuals with MERS-CoV infection who die in hospital.

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Risk Factors and Outcomes of Endocarditis Due to Non-HACEK Gram-Negative Bacilli: Data from the Prospective Multicenter Italian Endocarditis Study Cohort

Antimicrobial Agents and Chemotherapy ◽

10.1128/aac.02208-17 ◽

2018 ◽

Vol 62 (4) ◽

Cited By ~ 12

Author(s):

Marco Falcone ◽

Giusy Tiseo ◽

Emanuele Durante-Mangoni ◽

Veronica Ravasio ◽

Francesco Barbaro ◽

...

Keyword(s):

Risk Factors ◽

Hospital Mortality ◽

Cox Regression ◽

Electronic Device ◽

Multidrug Resistant ◽

Study Cohort ◽

Gram Negative ◽

Content Type ◽

Cox Regression Analysis ◽

Factors Associated

ABSTRACT The objective of this study was to investigate predisposing factors and outcomes of infective endocarditis (IE) caused by non-HACEK Gram-negative bacilli (GNB) in a contemporary multicenter cohort. Patients with IE due to GNB, prospectively observed in 26 Italian centers from 2004 to 2011, were analyzed. Using a case-control design, each case was compared to three age- and sex-matched controls with IE due to other etiologies. Logistic regression was performed to identify risk factors for IE due to GNB. Factors associated with early and late mortality were assessed by Cox regression analysis. The study group comprised 58 patients with IE due to GNB. We found that Escherichia coli was the most common pathogen, followed by Pseudomonas aeruginosa and Klebsiella pneumoniae . The genitourinary tract as a source of infection (odds ratio [OR], 13.59; 95% confidence interval [CI], 4.63 to 39.93; P < 0.001), immunosuppression (OR, 5.16; 95% CI, 1.60 to 16.24; P = 0.006), and the presence of a cardiac implantable electronic device (CIED) (OR, 3.57; 95% CI, 1.55 to 8.20; P = 0.003) were factors independently associated with IE due to GNB. In-hospital mortality was 13.8%, and mortality rose to 30.6% at 1 year. A multidrug-resistant (MDR) etiology was associated with in-hospital mortality (hazard ratio [HR], 21.849; 95% CI, 2.672 to 178.683; P = 0.004) and 1-year mortality (HR, 4.408; 95% CI, 1.581 to 12.287; P = 0.005). We conclude that the presence of a genitourinary focus, immunosuppressive therapy, and an indwelling CIED are factors associated with IE due to GNB. MDR etiology is the major determinant of in-hospital and long-term mortality.

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COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany

10.1101/2020.07.22.20160127 ◽

2020 ◽

Author(s):

Siegbert Rieg ◽

Maja von Cube ◽

Johannes Kalbhenn ◽

Stefan Utzolino ◽

Katharina Pernice ◽

...

Keyword(s):

Mechanical Ventilation ◽

Hospital Mortality ◽

Cox Regression ◽

Medical Center ◽

Tertiary Care ◽

Study Entry ◽

Hospital Death ◽

Care Model ◽

Cox Regression Analysis ◽

Hospitalised Patients

Background Reported mortality of hospitalised COVID-19 patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under optimised care conditions have not been systematically studied. Methods This retrospective observational monocenter cohort study was performed after implementation of a non-restricted, dynamic tertiary care model at the University Medical Center Freiburg, an experienced ARDS and ECMO referral center. All hospitalised patients with PCR-confirmed SARS-CoV-2 infection were included. The primary endpoint was in-hospital mortality, secondary endpoints included major complications and modes of death. A multistate analysis and a Cox regression analysis for competing risk models were performed. Modes of death were determined by two independent reviewers. Results Between February 25, and May 8, 213 patients were included in the analysis. The median age was 65 years, 129 patients (61%) were male. 70 patients (33%) were admitted to the intensive care unit (ICU), of which 57 patients (81%) received mechanical ventilation and 23 patients (33%) extracorporeal membrane-oxygenation (ECMO) support. According to the multistate model the probability to die within 90 days after COVID-19 onset was 24% in the whole cohort. If the levels of care at time of study entry were accounted for, the probabilities to die were 16% if the patient was initially on a regular ward, 47% if in the ICU and 57% if mechanical ventilation was required at study entry. Age >=65 years and male sex were predictors for in-hospital death. Predominant complications - as judged by two independent reviewers - determining modes of death were multi-organ failure, septic shock and thromboembolic and hemorrhagic complications. Conclusion In a dynamic care model COVID-19-related in-hospital mortality remained substantial. In the absence of potent antiviral agents, strategies to alleviate or prevent the identified complications should be investigated. In this context, multistate analyses enable comparison of models-of-care and treatment strategies and allow estimation and allocation of health care resources.

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Methylprednisolone was Associated with Reduced in-Hospital Mortality in COVID-19 Patients with Low Lymphocyte Counts: a Multicenter Retrospective Propensity Analysis

10.21203/rs.3.rs-639680/v1 ◽

2021 ◽

Author(s):

Huifang Zhang ◽

Congliang Miao ◽

Tao Wang ◽

Yun Xie ◽

Xiaolei Teng ◽

...

Keyword(s):

Hospital Mortality ◽

Lymphocyte Count ◽

Cox Regression ◽

Survival Curve ◽

Hospital Death ◽

Normal Lymphocyte ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Methylprednisolone Treatment ◽

Novel Coronavirus

Abstract Background: To assess the effect of methylprednisolone on the prognosis of patients with novel coronavirus pneumonia.Methods: Patients with confirmed novel coronavirus pneumonia discharged from Wuhan Third Hospital Guanggu Campus, Shouyi Campus, and Lei Shen Shan Hospital from January 31, 2020, to March 4, 2020, were included. The patients were divided into treatment and control groups according to whether methylprednisolone was used during hospitalization. Propensity score (PS) matching analysis was used to assess in-hospital mortality as the primary outcome and trends in the changes in lymphocytes and the C-reactive protein, creatinine and transaminase levels 7 days after admission (secondary outcomes).Results: A total of 2,062 patients with confirmed novel coronavirus pneumonia were included in this study. Univariate Cox regression analysis suggested that methylprednisolone treatment was associated with increased in-hospital mortality (hazard ratio (HR) 3.70, 95% confidence interval (CI) 2.62-5.23, P<0.01). A total of 624 patients were included after PS matching. The patients were further subdivided into a low lymphocyte count group and a normal lymphocyte count group according to a lymphocyte count cutoff value of 0.9*109/L. Kaplan-Meier survival curve analysis showed that methylprednisolone treatment reduced the risk of in-hospital death in patients with lymphocyte counts less than 0.9×109/L (P=0.022). In contrast, in the normal lymphocyte group, methylprednisolone treatment was not associated with in-hospital mortality (p=0.88).Conclusion: Treatment with methylprednisolone may be associated with reduced in-hospital mortality in coronavirus disease (COVID) patients with low lymphocyte counts.

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Epidemiology, Risk Factors, and Outcomes of Opportunistic Infections after Kidney Allograft Transplantation in the Era of Modern Immunosuppression: A Monocentric Cohort Study

Journal of Clinical Medicine ◽

10.3390/jcm8050594 ◽

2019 ◽

Vol 8 (5) ◽

pp. 594 ◽

Cited By ~ 4

Author(s):

Philippe Attias ◽

Giovanna Melica ◽

David Boutboul ◽

Nathalie De Castro ◽

Vincent Audard ◽

...

Keyword(s):

Risk Factors ◽

Protective Factor ◽

Opportunistic Infections ◽

Control Group ◽

Kidney Allograft ◽

Extended Criteria Donor ◽

Allograft Transplantation ◽

Kidney Recipients ◽

Independent Risk Factors ◽

Kidney Transplantations

Epidemiology of opportunistic infections (OI) after kidney allograft transplantation in the modern era of immunosuppression and the use of OI prevention strategies are poorly described. We retrospectively analyzed a single-center cohort on kidney allograft adult recipients transplanted between January 2008 and December 2013. The control group included all kidney recipients transplanted in the same period, but with no OI. We analyzed 538 kidney transplantations (538 patients). The proportion of OI was 15% (80 and 72 patients). OI occurred 12.8 (6.0–31.2) months after transplantation. Viruses were the leading cause (n = 54, (10%)), followed by fungal (n = 15 (3%)), parasitic (n = 6 (1%)), and bacterial (n = 5 (0.9%)) infections. Independent risk factors for OI were extended criteria donor (2.53 (1.48–4.31), p = 0.0007) and BK viremia (6.38 (3.62–11.23), p < 0.0001). High blood lymphocyte count at the time of transplantation was an independent protective factor (0.60 (0.38–0.94), p = 0.026). OI was an independent risk factor for allograft loss (2.53 (1.29–4.95), p = 0.007) but not for patient survival. Post-kidney transplantation OIs were mostly viral and occurred beyond one year after transplantation. Pre-transplantation lymphopenia and extended criteria donor are independent risk factors for OI, unlike induction therapy, hence the need to adjust immunosuppressive regimens to such transplant candidates.

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