Reply to Wolkewitz: When to Use Cumulative Risk-Based Versus Rate-Based Approaches in the Analysis of Hospital-Acquired Infection Risk Factors? That Depends on the Question

2016 ◽  
Vol 37 (9) ◽  
pp. 1124-1125
Author(s):  
Kevin A. Brown ◽  
Nick Daneman ◽  
Vanessa Stevens ◽  
Tom H. Greene ◽  
Paul Arora
Keyword(s):  
Risk Factors ◽  
Cumulative Risk ◽  
Infection Risk ◽  
Hospital Acquired Infection ◽  
Infection Risk Factors ◽  
Hospital Acquired

scholarly journals Infectious events in patients with severe COVID-19: results of a cohort of patients with high prevalence of underlying immune defect

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Anastasia Saade ◽  
Giulia Moratelli ◽  
Guillaume Dumas ◽  
Asma Mabrouki ◽  
Jean-Jacques Tudesq ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cumulative Incidence ◽  
Cumulative Risk ◽  
Incidence Density ◽  
Hospital Acquired Infections ◽  
Underlying Malignancy ◽  
Single Center Study ◽  
High Prevalence ◽  
Immune Defect ◽  
Hospital Acquired

Abstract Background Empirical antibiotic has been considered in severe COVID-19 although little data are available regarding concomitant infections. This study aims to assess the frequency of infections, community and hospital-acquired infections, and risk factors for infections and mortality during severe COVID-19. Methods Retrospective single-center study including consecutive patients admitted to the intensive care unit (ICU) for severe COVID-19. Competing-risk analyses were used to assess cumulative risk of infections. Time-dependent Cox and fine and gray models were used to assess risk factors for infections and mortality. Propensity score matching was performed to estimate the effect of dexamethasone. Results We included 100 patients including 34 patients with underlying malignancies or organ transplantation. First infectious event was bacterial for 35 patients, and fungal for one. Cumulative incidence of infectious events was 27% [18–35] at 10 ICU-days. Prevalence of community-acquired infections was 7% [2.8–13.9]. Incidence density of hospital-acquired infections was 125 [91–200] events per 1000 ICU-days. Risk factors independently associated with hospital-acquired infections included MV. Patient’s severity and underlying malignancy were associated with mortality. Dexamethasone was associated with increased infections (36% [20–53] vs. 12% [4–20] cumulative incidence at day-10; p = 0.01). After matching, dexamethasone was associated with hospital-acquired infections (35% [18–52] vs. 13% [1–25] at 10 days, respectively, p = 0.03), except in the subset of patients requiring MV, and had no influence on mortality. Conclusions In this population of COVID-19 patients with high prevalence of underlying immune defect, a high risk of infections was noted. MV and use of steroids were independently associated with infection rate.

The Iron Biology Status of Peritoneal Dialysis Patients May be a Risk Factor for Development of Infectious Peritonitis

2019 ◽  
Vol 39 (4) ◽  
pp. 362-374 ◽  
Author(s):  
Marwh Aldriwesh ◽  
Noura Al-Dayan ◽  
Jonathan Barratt ◽  
Primrose Freestone
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Peritoneal Dialysis ◽  
Stress Hormones ◽  
Infection Risk ◽  
Mortality And Morbidity ◽  
Peritoneal Dialysate ◽  
Susceptibility To Infection ◽  
Infection Risk Factors

Background Infectious peritonitis is a clinically important condition contributing to the significant mortality and morbidity rates observed in peritoneal dialysis (PD) patients. Although some of the socioeconomic risk factors for PD-associated peritonitis have been identified, it is still unclear why certain patients are more susceptible than others to infection. Methods We examined the molecular components of human peritoneal dialysate (HPD) in an attempt to identify factors that might increase patient susceptibility to infection. Characterization studies were performed on initial and follow-up dialysate samples collected from 9 renal failure patients on PD. Results Our in vitro data showed that peritonitis-causing bacteria grew differently in the patient dialysates. Proteomic analysis identified an association between transferrin presence and infection risk, as peritoneal transferrin was discovered to be iron-saturated, which was in marked contrast to transferrin in blood. Further, use of radioactive iron-labeled transferrin showed peritoneal transferrin could act as a direct iron source for the growth of peritonitis-causing bacteria. We also found catecholamine stress hormones noradrenaline and adrenaline were present in the dialysates and were apparently involved in enhancing the growth of the bacteria via transferrin iron provision. This suggests the iron biology status of the PD patient may be a risk factor for development of infectious peritonitis Conclusions Collectively, our study suggests transferrin and catecholamines within peritoneal dialysate may be indicators of the potential for bacterial growth in HPD and, as infection risk factors, represent possible future targets for therapeutic manipulation.

Risk Factors for Central Line–Associated Bloodstream Infections in the Era of Prevention Bundles

2014 ◽  
Vol 36 (2) ◽  
pp. 214-216 ◽  
Author(s):  
Devin Callister ◽  
Pauline Limchaiyawat ◽  
Samantha J. Eells ◽  
Loren G. Miller
Keyword(s):  
Risk Factors ◽  
Bloodstream Infection ◽  
Hemodynamic Monitoring ◽  
Bloodstream Infections ◽  
Central Line ◽  
Infection Risk ◽  
Case Control ◽  
Infect Control Hosp ◽  
Infection Risk Factors ◽  
Independent Risk Factors

Little is known about central line–associated bloodstream infection risk factors in the bundle era. In our case-control investigation, we found that independent risk factors for central line–associated bloodstream infection at our center included the number of recent lab tests, catheter duration, and lack of hemodynamic monitoring as the insertion indication.Infect Control Hosp Epidemiol 2014;00(0): 1–3

Leptospira spp. in horses in southern Brazil: Seroprevalence, infection risk factors, and influence on reproduction

2020 ◽  
Vol 73 ◽  
pp. 101552
Author(s):  
Aleksandro S. Da Silva ◽  
Antonise M. Jaguezeski ◽  
Isadora Fabris Laber ◽  
Ana Eucares von Laer ◽  
Luciane T. Lovato ◽  
...  
Keyword(s):  
Risk Factors ◽  
Infection Risk ◽  
Southern Brazil ◽  
Leptospira Spp ◽  
Infection Risk Factors
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