scholarly journals Experience of a training and research hospital in the first wave of the COVID-19 pandemic; Risk factors associated with the need for intensive care

2021 ◽  
Vol 34 (3) ◽  
pp. 198-202
Author(s):  
Lutfiye Nilsun Altuna ◽  
Mehtap Aydın ◽  
Ayşe Serra Ozel ◽  
Gulsum Cam ◽  
Kader Gorkem Guclu
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Research Hospital ◽  
Factors Associated ◽  
Training And Research

P11.08 Etiology, Resistance and Risk Factors Associated with Outcome Among 1,121 Bloodstream Infection in Intensive Care Units

2006 ◽  
Vol 64 ◽  
pp. S58-S59
Author(s):  
E. Girão ◽  
A. Levin ◽  
M. Basso ◽  
S. Gobara ◽  
L. Brasileiro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Bloodstream Infection ◽  
Intensive Care Units ◽  
Factors Associated

Risk factors associated with urinary tract infections in intensive care patients

2016 ◽  
Vol 21 (2) ◽  
pp. 62-66
Author(s):  
Eng Kiang Lee ◽  
Alvin Teo ◽  
Gillian Land ◽  
Sue Borrell ◽  
Denis Spelman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Factors Associated ◽  
Intensive Care Patients ◽  
Tract Infections

Risk Factors Associated With Pressure Ulcers in Patients With Traumatic Brain Injury Admitted to the Intensive Care Unit

2021 ◽  
pp. 105477382110504
Author(s):  
Jeong Eun Yoon ◽  
Ok-Hee Cho
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Traumatic Brain Injury ◽  
Intensive Care ◽  
Brain Injury ◽  
Medical Records ◽  
Injury Severity ◽  
University Hospital ◽  
Factors Associated ◽  
Braden Scale

Pressure injuries (PIs) are one of the most important and frequent complications in patients admitted to the intensive care unit (ICU) or those with traumatic brain injury (TBI). The purpose of this study was to determine the incidence and risk factors of PIs in patients with TBI admitted to the ICU. In this retrospective study, the medical records of 237 patients with TBI admitted to the trauma ICU of a university hospital were examined. Demographic, trauma-related, and treatment-related characteristics of all the patients were evaluated from their records. The incidence of PIs was 13.9%, while the main risk factors were a higher injury severity score, use of mechanical ventilation, vasopressor infusion, lower Braden Scale score, fever, and period of enteral feeding. This study advances the nursing practice in the ICU by predicting the development of PIs and their characteristics in patients with TBI.

Outcomes and prognostic factors of patients with anti-melanoma differentiation-associated protein 5 and anti-aminoacyl-RNA synthetase antibodies positive idiopathic inflammatory myopathies in intensive care unit

2020 ◽  
Author(s):  
Shiyao Wang ◽  
Xinran Zhang ◽  
Yanhong Ren ◽  
Yi Zhang ◽  
Ye Tian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Respiratory Failure ◽  
Acute Respiratory Failure ◽  
Serum Ferritin ◽  
Factors Associated ◽  
Overall Mortality

Abstract Background: This study aims to identify prognostic factors for mortality of patients with anti-melanoma differentiation-associated protein 5 (anti-MDA5) or anti-aminoacyl-RNA synthetase (anti-ARS) antibodies positive and acute respiratory failure in the intensive care unit.Methods: Clinical characteristics, laboratory test findings, imaging performance, and management were retrospectively collected in all cases with anti-MDA5 and anti-ARS antibodies positive, as well as follow-up survival data. Risk factors related to prognosis were identified by Cox regression analysis.Results: The 28-day mortality of all patients was 68.8% (n=44/64). The patients who died were more likely to have anti-MDA5 antibody(p<0.001), presented more Gottron papules(p=0.021) or heliotrope rash(p=0.008), had a relatively lower level of WBC(p=0.038), CRP(p=0.004), and had a higher level of LDH(p=0.029), serum ferritin(p=0.002). The main risk factors associated with 28-day mortality were anti-MDA5 antibody positive [HR 10.827 (95% CI: 4.261-27.514), p<0.001], presence of Gottron papules [2.299 (1.203-4.394), p=0.012], heliotrope rash [3.423 (1.773-6.606), p<0.001], and arthritis/arthralgia [2.365 (1.130-4.948), p=0.022). At a median of 14 (IQR 6.33-35.0) months of follow-up, the overall mortality of all patients was 75.0% (n=48/64). The non-survivors were more likely to own anti-MDA5 antibody(p<0.001), had a higher rate of Gottron papules(p=0.020) or heliotrope rash(p=0.014), had lower PFR(p=0.032) while ICU admission, and existed a higher level of serum ferritin(p=0.005). Main risk factors associated with overall mortality were consistent with risk factors for 28-day mortality. Conclusions: Anti-MDA5 antibody positive, presence of Gottron papules, heliotrope rash, or arthritis/arthralgia were the main independent risk factors of poor prognosis for IIM patients admitted to the ICU due to acute respiratory failure.

Risk Factors Associated with Hospital-Acquired Venous Thromboembolism in the Pediatric Intensive Care Unit

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2313-2313
Author(s):  
Minh Q Tran ◽  
Steven L Shein ◽  
Hong Li ◽  
Sanjay P Ahuja
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Multivariate Analysis ◽  
Intensive Care ◽  
Venous Thromboembolism ◽  
Odds Ratio ◽  
Pediatric Intensive Care ◽  
Primary Diagnosis ◽  
Factors Associated ◽  
Hospital Acquired

Abstract Introduction: Venous thromboembolism (VTE) in Pediatric Intensive Care Unit (PICU) patients is associated with central venous catheter (CVC) use. However, risk factors for VTE development in PICU patients with CVCs are not well established. The impact of Hospital-Acquired VTE in the PICU on clinical outcomes needs to be studied in large multicenter databases to identify subjects that may benefit from screening and/or prophylaxis. Method: With IRB approval, the Virtual Pediatric Systems, LLC database was interrogated for children < 18yo admitted between 01/2009-09/2014 who had PICU length of stay (LOS) <1 yr and a CVC present at some point during PICU care. The exact timing of VTE diagnosis was unavailable in the database, so VTE-PICU was defined as an "active" VTE that was not "present at admission". VTE-prior was defined as a VTE that was "resolved," "ongoing" or "present on admission." Variables extracted from the database included demographics, primary diagnosis category, and Pediatric Index of Mortality (PIM2) score. PICU LOS was divided into quintiles. Chi squared and Wilcoxon rank-sum were used to identify variables associated with outcomes, which were then included in multivariate models. Our primary outcome was diagnosis of VTE-PICU and our secondary outcome was PICU mortality. Children with VTE-prior were included in the mortality analyses, but not the VTE-PICU analyses. Data shown as median (IQR) and OR (95% CI). Results: Among 143,524 subjects, the median age was 2.8 (0.47-10.31) years and 55% were male. Almost half (44%) of the subjects were post-operative. The median PIM2 score was -4.11. VTE-prior was observed in 2498 patients (1.78%) and VTE-PICU in 1741 (1.2%). The incidence of VTE-PICU were 852 (1.7%) in patients ≤ 1 year old, 560 (0.9%) in patients 1-12 years old, and 303 (1.1%) in patients ≥ 13 years old (p < 0.0001). In univariate analysis, variables associated with a diagnosis of VTE-PICU were post-operative state, four LOS quintiles (3-7, 7-14, and 14-21 and >21 days) and several primary diagnosis categories: cardiovascular, gastrointestinal, infectious, neurologic, oncologic, genetic, and orthopedic. Multivariate analysis showed increased risk of VTE with cardiovascular diagnosis, infectious disease diagnosis, and LOS > 3 d (Table 1). The odds increased with increasing LOS: 7 d < LOS ≤ 14 d (5.18 [4.27-6.29]), 14 d < LOS ≤ 21 d (7.96 [6.43-9.82]), and LOS > 21 d (20.73 [17.29-24.87]). Mortality rates were 7.1% (VTE-none), 7.2% (VTE-prior), and 10.1% (VTE-PICU) (p < 0.0001). In the multivariate model, VTE-PICU (1.25 [1.05-1.49]) and VTE-prior (1.18 [1.002-1.39]) were associated with death vs. VTE-none. PIM2 score, trauma, and several primary diagnosis categories were also independently associated with death (Table 2). Conclusion: This large, multicenter database study identified several variables that are independently associated with diagnosis of VTE during PICU care of critically ill children with a CVC. Children with primary cardiovascular or infectious diseases, and those with PICU LOS >3 days may represent specific populations that may benefit from VTE screening and/or prophylaxis. Hospital-Acquired VTE in PICU was independently associated with death in our database. Additional analysis of this database, including adding specific diagnoses and secondary diagnoses, may further refine risk factors for Hospital-Acquired VTE among PICU patients with a CVC. Table 1. Multivariate analysis of Factors Associated with VTE-PICU. Factors Odds Ratio 95% Confidence Interval 3d < LOS ≤ 7d vs LOS ≤ 3d 2.19 1.78-2.69 7d < LOS ≤ 14d vs LOS ≤ 3d 5.18 4.27-6.29 14d < LOS ≤ 21d vs LOS ≤ 3d 7.95 6.44-9.82 LOS > 21d vs LOS ≤ 3d 20.73 17.29-24.87 Age 1.00 0.99-1.01 Post-operative 0.89 0.80-0.99 PIM2 Score 1.47 1.01-1.07 Primary Diagnosis: Cardiovascular 1.50 1.31-1.64 Primary Diagnosis: Infectious 1.50 1.27-1.77 Primary Diagnosis: Genetics 0.32 0.13-0.78 Table 2. Multivariate Analysis of Factors Associated with PICU Mortality. Factors Odds Ratio 95% ConfidenceInterval VTE-prior 1.18 1.00-1.39 VTE-PICU 1.25 1.05-1.49 PIM2 Score 2.08 2.05-2.11 Trauma 1.92 1.77-2.07 Post-operative 0.45 0.42-0.47 Primary Diagnosis: Genetic 2.07 1.63-2.63 Primary Diagnosis: Immunologic 2.45 1.51-3.95 Primary Diagnosis: Hematologic 1.63 1.30-2.06 Primary Diagnosis: Metabolic 0.71 0.58-0.87 Primary Diagnosis: Infectious 1.47 1.36-1.59 Primary Diagnosis: Neurologic 1.37 1.27-1.47 Disclosures No relevant conflicts of interest to declare.

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