Correlation between the apache IV score and length of stay in obstetrics and gynaecology admissions in ICU

2020 ◽  
Vol 16 (2) ◽  
pp. 23-25
Author(s):  
Bhavani M H ◽  
2020 ◽  
Author(s):  
Fadi Aljamaan ◽  
Esraa Altawil ◽  
Mohamad-Hani Temsah ◽  
Ahmad Almeman

Abstract BackgroundBacterial infections are a frequent cause of hospitalization and a leading cause of death, particularly with the emergence of antibiotics resistance. The emergence of Carbapenem resistance among gram-negative bacteria (GNB) is one of the evolving alerts as its use is considered the last resort of treatment [1]. Therefore, this urged studying the risk factors for the development of multi-drug resistant [2] GNB, identify the clinical outcomes and factors associated with mortality, especially among critically ill patients who are expected to have the worst outcomes.Materials/methodsThis is a retrospective observational study of critically ill patients who had an infection with Carbapenem-resistant Enterobacteriaceae (CRE), or MDR Pseudomonas aeruginosa, or MDR Acinetobacter spp. between May 2016- Nov 2018. Baseline demographics, co-morbidities, and clinical outcomes were collected and were evaluated for association with 28 days mortality. ResultsA total of 255 patients with MDR Gram-negative cultures were screened, 77 patients met the inclusion criteria. Pseudomonas aeruginosa was the most common index organism (53% of patients), followed by Acinetobacter spp. and CRE, respectively. The mortality rate at 28 days was (59.7%). Non-survivors were significantly older (mean age 64 vs. 44 years, P= 0.0001), had significantly worse disease severity scores on ICU admission, higher incidence of chronic kidney disease (CKD) (43% vs. 16%, P= 0.010), required more continuous renal replacement therapy (CRRT) (54% vs. 13% P= 0.0001), had longer hospital length of stay prior to infection (median 34 vs. 13 days, P= 0.018), and required longer inotropic and vasopressors support (median 19 vs. 8 days, P = 0.0001). In multivariate logistic regression the following factors were significantly associated with mortality; requirement of inotropic support [OR 10.01 (95% CI 1.55-64.77); P= 0.015], age [OR 1.05 (95% CI 1.0-1.1); P=0.01], APACHE IV score on ICU admission [OR 1.03 (95% CI 1.0- 1.06); P= 0.04], and ICU length of stay [OR 1.03 (95% CI 1.0- 1.06); P= 0.035].ConclusionMDR Gram-negative infection is associated with significant in-hospital mortality among critically ill patients. Old age, high APACHE IV score, higher ICU length of stay, and higher hemodynamic support are associated with higher mortality.Trial registrationretrospectively registered.


2015 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Amit Chattopadhyay ◽  
Sharmila Chatterjee

Introduction: Accurate length of stay (LOS) prediction of severe sepsis patients in intensive care unit (ICU) is critical for resource management. Acute Physiology and Chronic Health Evaluation-IV (APACHE-IV) model is commonly used forpredicting LOS. This study assesses the ICU-LOS predictability of APACHE-IV system for severe sepsis patients.Methods: Following ethical clearance, we used ICU data (06/2006 – 08/2008: from a hospital in India) to compare APACHE-IV score and predicted LOS of severe sepsis patients with actual observed ICU-LOS. We employed t-test, correlations, ANOVA andlinear regression of suitably transformed variables as needed.Results: Out of 3,949 ICU admissions, 198 were severe sepsis admissions where 134 patients (80%) had usable data. Of these 75 had verifiable APACHE-IV scores (final sample) with 55% men; median age: 67 years (IQR: 21) 53% did not have dialysis; 87% were on mechanical ventilation (MV). Mean ICU-LOS (10.1 days + 6.4) was significantly greater than predicted ICU-LOS (5.6days + 1.8 ; p<.001). ICU-LOS was very strongly correlated with days on MV (r=0.9). Mean ICU-LOS was significantly greaterfor those receiving blood transfusion (p<.001); on MV (p<.001); having surgery (p<.001) and having high frequency of dialysis (p<.001) – differences not predicted by APACHE-IV. Overall, the predicted ICU-LOS underestimation was by 4.5 days.Conclusions: The results provide a preliminary indication that APACHE-IV model may be a poor predictor of ICU-LOS insevere sepsis cases.


2006 ◽  
Vol 34 ◽  
pp. A130
Author(s):  
Jack E Zimmerman ◽  
Andrew A Kramer ◽  
Jing Yi

2006 ◽  
Vol 34 ◽  
pp. A127 ◽  
Author(s):  
Andrew A Kramer ◽  
Jing Yi ◽  
Jack E Zimmerman

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 2032 ◽  
Author(s):  
Mohammad Ghorbani ◽  
Haleh Ghaem ◽  
Abbas Rezaianzadeh ◽  
Zahra Shayan ◽  
Farid Zand ◽  
...  

Background:Clinical assessment of disease severity is an important part of medical practice for prediction of mortality and morbidity in Intensive Care Unit (ICU). A disease severity scoring system can be used as guidance for clinicians for objective assessment of disease outcomes and estimation of the chance of recovery. This study aimed to evaluate the hypothesis that the mortality and length of stay in emergency ICUs predicted by APACHE-IV is different to the real rates of mortality and length of stay observed in our emergency ICU in Iran.Methods:This was a retrospective cohort study conducted on the data of 839 consecutive patients admitted to the emergency ICU of Nemazi Hospital, Shiraz, Iran, during 2012-2015. The relevant variables were used to calculate APACHE-IV.  Length of stay and death or discharge, Glasgow coma score, and acute physiology score were also evaluated. Moreover, the accuracy of APACHE-IV for mortality was assessed using area under the Receiver Operator Characteristic (ROC) curve.Results:Of the studied patients, 157 died and 682 were discharged (non-survivors and survivors, respectively). The length of stay in the ICU was 10.98±14.60, 10.22 ± 14.21 and 14.30±15.80 days for all patients, survivors, and non-survivors, respectively. The results showed that APACHE-IV model underestimated length of stay in our emergency ICU (p<0.001). In addition, the overall observed mortality was 17.8%, while the predicted mortality by APACHE-IV model was 21%. Therefore, there was an overestimation of predicted mortality by APACHE-IV model, with an absolute difference of 3.2% (p=0.036).Conclusion:The findings showed that APACHE-IV was a poor predictor of length of stay and mortality rate in emergency ICU. Therefore, specific models based on big sample sizes of Iranian patients are required to improve accuracy of predictions.


2006 ◽  
Vol 34 (10) ◽  
pp. 2517-2529 ◽  
Author(s):  
Jack E. Zimmerman ◽  
Andrew A. Kramer ◽  
Douglas S. McNair ◽  
Fern M. Malila ◽  
Violet L. Shaffer

2001 ◽  
Vol 120 (5) ◽  
pp. A403-A404
Author(s):  
J HARRISON ◽  
J ROTH ◽  
R COHEN

2011 ◽  
Vol 4 (7) ◽  
pp. 19
Author(s):  
MARY ELLEN SCHNEIDER

Sign in / Sign up

Export Citation Format

Share Document