BACKGROUND

Pediatric Early Warning Scores (PEWS) help identify children at risk of clinical deterioration, but their accuracy across diverse settings, populations, interventions, and outcomes remains unexplored.

To determine the accuracy of PEWS in detecting clinical deterioration events (CDE) among pediatric patients seen at the emergency department (ED).

Retrospective cohort study.

Pediatric patients aged 1 month to 18 years seen at the ED.

Southern Philippines Medical Center Emergency Department, Davao City, Philippines from January 2021 to December 2022.

Area under the curve (AUC) of PEWS in detecting CDE; Brighton PEWS optimal cut-off and its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (-LR).

Among the 345 patients, 56 experienced CDE and 289 did not. Patients with CDE had significantly lower median age (1.00 year vs 5.00 years; p < 0.001), oxygen saturation (93.00% vs 98.00%; p < 0.001), and pediatric Glasgow Coma Scale scores (8.00 vs 15.00; p < 0.0001) compared to those without CDE. Heart rate (135.00 vs 111.00 beats per minute; p < 0.001), and respiratory rate (32.50 vs 24.00 breaths per minute; p < 0.001) were significantly higher in patients with CDE. The two groups also differed significantly in terms of comorbidity distribution (p < 0.001) and diagnosis (p < 0.001). The AUC of Brighton PEWS was 0.9064 (95% CI 0.8716 to 0.9357), with an optimal cut-off score of ≥4.00. This threshold yielded 76.79% sensitivity, 88.58% specificity, 56.60% PPV, 95.20% NPV, 6.72 LR+, and 0.26 LR-.

The Brighton PEWS demonstrates strong diagnostic accuracy in predicting CDE among pediatric patients. A cut-off score of ≥4.00 offers a balanced combination of sensitivity, specificity, and likelihood ratios for ED application.

BACKGROUND AND OBJECTIVE

Patients with liver cirrhosis have an increased risk for poor postoperative outcomes after non-hepatic surgery, with liver dysfunction being the most important predictor of poor outcomes. This study aims to determine the association of the albumin-bilirubin (ALBI) grade, aspartate aminotransferase-platelet ratio index (APRI) score, and ALBI-APRI score with postoperative outcomes among cirrhotic patients who have undergone non-hepatic surgery.

This was a retrospective cohort study involving 34 patients. Age, ASA class, urgency of surgery, etiology of liver cirrhosis, preoperative Child-Turcotte-Pugh (CTP) score, Model for End-Stage Liver Disease (MELD) score, ALBI grade, APRI score, and ALBI-APRI score were documented. The outcomes analyzed were postoperative hepatic decompensation (POHD) and in-hospital mortality. Bivariate analysis using the Mann-Whitney U test and Fisher’s exact test was performed. Receiver operating characteristic (ROC) curve analysis was performed to compare the ability of the liver scoring systems to predict the occurrence of study outcomes. Binary logistic regression was performed to measure the odds ratio.

The ALBI grade and ALBI-APRI score were significantly associated with both POHD and in-hospital mortality. Both scores were non-inferior to the CTP and MELD scores in predicting study outcomes. Compared to CTP and MELD scores, the ALBI grade was more sensitive but less specific in predicting POHD and as sensitive but more specific in predicting in-hospital mortality. The ALBI-APRI score was less sensitive but more specific than the ALBI grade in predicting both POHD and in-hospital mortality.

The ALBI grade and ALBI-APRI score were both associated with postoperative hepatic decompensation and in-hospital mortality and were noninferior to the CTP score and MELD score in predicting short-term in-hospital outcomes among cirrhotic patients after non-hepatic surgery.

Background and Objective: Patients with liver cirrhosis have an increased risk for poor postoperative outcomes after non-hepatic surgery, with liver dysfunction being the most important predictor of poor outcomes. This study aims to determine the association of the albumin-bilirubin (ALBI) grade, aspartate aminotransferase-platelet ratio index (APRI) score, and ALBI-APRI score with postoperative outcomes among cirrhotic patients who have undergone non-hepatic surgery. Methods: This was a retrospective cohort study involving 34 patients. Age, ASA class, urgency of surgery, etiology of liver cirrhosis, preoperative Child-Turcotte-Pugh (CTP) score, Model for End-Stage Liver Disease (MELD) score, ALBI grade, APRI score, and ALBI-APRI score were documented. The outcomes analyzed were postoperative hepatic decompensation (POHD) and in-hospital mortality. Bivariate analysis using the Mann-Whitney U test and Fisher’s exact test was performed. Receiver operating characteristic (ROC) curve analysis was performed to compare the ability of the liver scoring systems to predict the occurrence of study outcomes. Binary logistic regression was performed to measure the odds ratio. Results: The ALBI grade and ALBI-APRI score were significantly associated with both POHD and in-hospital mortality. Both scores were non-inferior to the CTP and MELD scores in predicting study outcomes. Compared to CTP and MELD scores, the ALBI grade was more sensitive but less specific in predicting POHD and as sensitive but more specific in predicting in-hospital mortality. The ALBI-APRI score was less sensitive but more specific than the ALBI grade in predicting both POHD and in-hospital mortality. Conclusions The ALBI grade and ALBI-APRI score were both associated with postoperative hepatic decompensation and in-hospital mortality and were noninferior to the CTP score and MELD score in predicting short-term in-hospital outcomes among cirrhotic patients after non-hepatic surgery.
liver cirrhosis ; in-hospital mortality ; hospital mortality

BACKGROUND AND OBJECTIVE

Several studies have examined the predictors of mortality among COVID-19-infected patients; however, to date, few published studies focused on end-stage renal disease patients. The present study,therefore, aims to determine the predictors of in-hospital mortality among end-stage renal disease patients with COVID-19 admitted to a Philippine tertiary hospital.

The researcher utilized a retrospective cohort design. A total of 449 adult end-stage renal disease patients on renal replacement therapy diagnosed with moderate-to-severe COVID-19 and were admitted at the National Kidney and Transplant Institute from June 2020 to 2021 were included. Logistic regression analysis was used to determine the factors associated with in-hospital mortality.

In-hospital mortality among end-stage renal disease patients with COVID-19 was 31.18% (95% CI: 26.92- 35.69%). Older age (OR=1.03), male sex (OR=0.56), diabetes mellitus (OR=1.80), coronary artery disease (OR=1.71), encephalopathy (OR=7.58), and intubation (OR=30.78) were associated with in-hospital mortality.

Patients with ESRD and COVID-19 showed a high in-hospital mortality rate. Older age, diabetes mellitus, coronary artery disease, encephalopathy, and intubation increased the odds of mortality. Meanwhile, males had lower odds of mortality than females.

Background and Objective: Several studies have examined the predictors of mortality among COVID-19-infected patients; however, to date, few published studies focused on end-stage renal disease patients. The present study,therefore, aims to determine the predictors of in-hospital mortality among end-stage renal disease patients with COVID-19 admitted to a Philippine tertiary hospital. Methods: The researcher utilized a retrospective cohort design. A total of 449 adult end-stage renal disease patients on renal replacement therapy diagnosed with moderate-to-severe COVID-19 and were admitted at the National Kidney and Transplant Institute from June 2020 to 2021 were included. Logistic regression analysis was used to determine the factors associated with in-hospital mortality. Results: In-hospital mortality among end-stage renal disease patients with COVID-19 was 31.18% (95% CI: 26.92- 35.69%). Older age (OR=1.03), male sex (OR=0.56), diabetes mellitus (OR=1.80), coronary artery disease (OR=1.71), encephalopathy (OR=7.58), and intubation (OR=30.78) were associated with in-hospital mortality. Conclusion Patients with ESRD and COVID-19 showed a high in-hospital mortality rate. Older age, diabetes mellitus, coronary artery disease, encephalopathy, and intubation increased the odds of mortality. Meanwhile, males had lower odds of mortality than females.
COVID-19 ; Kidney Failure, Chronic ; Hospital Mortality ; Renal Replacement Therapy

BACKGROUND AND OBJECTIVE

A growing body of evidence supports that inflammatory mechanisms are involved in secondary brain injury after intracerebral hemorrhage (ICH) which has implications on the morbidity and mortality of stroke patients. Neutrophil-to-lymphocyte ratio (NLR) is a comprehensive index marker of inflammation and immune status of a patient. The prognostic value of NLR in predicting in-hospital mortality and functional outcome of patients with spontaneous intracerebral hemorrhage will be assessed in this study.

We retrospectively selected 151 hemorrhagic stroke patients, and demographic and clinical characteristics were collected and computed for NLR. Receiver operating characteristic analysis using Youden’s index was utilized to determine the NLR cut-off value with the best sensitivity and specificity. The association of NLR with the inhospital mortality and functional outcome was assessed using Logistic regression analysis. Pearson Product Model Correlation was employed to evaluate the correlation of NLR with ICH volume.

Admission NLR >7 showed a significant association (p = <0.001 OR 7.99) with in-hospital mortality with a sensitivity of 70.83% and specificity of 72.82%. Furthermore, computed NLR of more than 6.4 showed significant association (p = 0.040 OR 2.92) with poor functional outcome. However, our study revealed that admission NLR showed a low level of correlation (r=0.2968, p=0.002) with the volume of ICH.

This study demonstrated that ICH patients with an elevated NLR is associated with increased inhospital mortality and poor functional outcome and that NLR can be used to predict clinical outcome among patients with spontaneous ICH.

Background: The quick Sequential Organ Failure Assessment (qSOFA) score was introduced by Sepsis-3 or the Third International Consensus Definitions for Sepsis and Septic Shock to help physicians in identifying patients outside the intensive care unit with suspected infection who are at high risk for in-hospital mortality. However, sepsis is not a homogenous entity and the outcomes vary based on several factors. This study aimed to determine the predictive accuracy of qSOFA in identifying those at high-risk of in-hospital mortality among adult patients with sepsis secondary to urinary tract infection. Methodology: A retrospective cohort study was done involving the use of qSOFA score to predict in-hospital mortality of adult patients with a diagnosis of sepsis secondary to urinary tract infection, admitted in the hospital from January 1, 2013 to December 31, 2020. qSOFA is computed based on the following independent variables: systolic blood pressure (SBP), respiratory rate (RR), and Glasgow Coma Scale (GCS). Results: Of the 128 charts retrieved, 121 patients were included in the study. Fifteen (12.40%) died while 106 (87.60%) survived. Mean age was 60.76 years old, with more females (71.90%) than males (28.10%). Hypertension and Diabetes Mellitus Type 2 were the most frequent comorbidities. Complicated UTI was the most frequent source of infection. Mean length of stay was 8.29 days. Forty (33.06%) patients had qSOFA ≥ 2 wherein 11 (27.5%) died. Diagnostic performance results revealed: sensitivity (73.33%), specificity (72.64%), positive (27.5%) and negative (95.06%) predictive values, and positive (2.68) and negative (0.37) likelihood ratios. qSOFA accuracy was 72.73% with an AUROC of 0.76. Conclusion Among the admitted adult patients with sepsis secondary to a UTI, qSOFA had a good prognostic accuracy for in-hospital mortality.
Sepsis ; Urinary Tract Infections ; Hospital Mortality

INTRODUCTION

For detecting myocardial injury in severe and critical COVID-19, the electrocardiogram (ECG) is neither sensitive nor specific, but in a resource-poor environment, it remains relevant. Changes in the ECG can be a potential marker of severe and critical COVID 19 to be used for predicting not only disease severity but also the prognosis for recovery.

The admitting and interval ECGs of 1333 COVID-19 patients were reviewed in a 2-year, single-center, retrospective cohort study. Each was evaluated for 29 predefined ECG patterns under the categories of rhythm; rate; McGinn-White and right ventricular, axis, and QRS abnormalities; ischemia/infarct patterns; and atrioventricular blocks before univariate and multivariate regression analyses for correlation with disease severity, need for advanced ventilatory support, and in-hospital mortality.

Of the 29 ECG patterns, 18 showed a significant association with the dependent variables on univariate analysis. Multivariate analysis revealed that atrial fibrillation, heart rate greater than 100 beats per minute, low QRS voltage, QTc of 500 milliseconds or greater, diffuse nonspecific T-wave changes, and “any acute anterior myocardial infarction” ECG patterns correlate with disease severity, need for advanced ventilatory support, and in-hospital mortality. S1Q3 and S1Q3T3 increased the odds of critical disease and need for high oxygen requirement by 2.5- to 3-fold. Fractionated QRS increased the odds of advanced ventilatory support.

The ECG can be useful for predicting the severity and outcome of more than moderate COVID-19. Their use can facilitate rapid triage, predict disease trajectory, and prompt a decision to intensify therapy early in the disease to make a positive impact on clinical outcomes.

To evaluate the predictive value of early warning scores for intensive care unit (ICU) admission in patients with coronavirus disease 2019 (COVID-19). For COVID-19 patients who were admitted to Shijiazhuang People's Hospital from January 2021 to February 2021, national early warning score (NEWS), national early warning score 2 (NEWS2), rapid emergency medicine score (REMS), quick sepsis-related organ failure (qSOFA), altered consciousness, blood urea nitrogen, respiratory rate, blood pressure, and age-65 (CURB-65) were used to evaluate the inpatient condition and the predictive value for ICU admission. A total of 368 patients were included, and 32 patients (8.7%) were transferred to the ICU. The median age was 49.0 (34.0,61.0) years. The scores of NEWS, NEWS2, REMS, and CURB-65 were 1 (0, 2), 1 (0, 2), 4 (2, 6) and 0 (0, 1), respectively. The receiver operating characteristic (ROC) cure (AUC) was used to evaluate the predictive value in detecting patients who are at risk of being transferred to the ICU. Area under the ROC AUC of NEWS was 0.756, sensitivity 65.6%, and specificity 71.3%. ROC AUC of NEWS2 was 0.732, sensitivity 62.5%, and specificity 61.3%. ROC AUC of REMS was 0.787, sensitivity 84.4%, and specificity 64.6%. ROC AUC of CURB-65 was 0.814, sensitivity 81.3%, and specificity 76.8%. The predictive value of NEWS and NEWS2 combined with age were significantly improved. The ROC AUC of NEWS combined with age was 0.885, sensitivity 85.1%, and specificity 75.0%. The ROC AUC of NEWS2 combined with age was 0.883, sensitivity 84.2%, and specificity 75.0%. NEWS and NEWS2 combined with age can be used as a predictive tool for whether COVID-19 patients will be admitted to the ICU.
Humans ; Middle Aged ; Aged ; COVID-19 ; Retrospective Studies ; Hospitalization ; Intensive Care Units ; ROC Curve ; Prognosis ; Hospital Mortality

Objective: To investigate dose-response associations between fluid overload (FO) and hospital mortality in patients with sepsis. Methods: The current cohort study was prospective and multicenter. Data were derived from the China Critical Care Sepsis Trial, which was conducted from January 2013 to August 2014. Patients aged≥18 years who were admitted to intensive care units (ICUs) for at least 3 days were included. Fluid input/output, fluid balance, fluid overload (FO), and maximum FO (MFO) were calculated during the first 3 days of ICU admission. The patients were divided into three groups based on MFO values: MFO<5%L/kg, MFO 5%-10%L/kg, and MFO≥10% L/kg. Kaplan-Meier analysis was used to predict time to death in hospital in the three groups. Associations between MFO and in-hospital mortality were evaluated via multivariable Cox regression models with restricted cubic splines. Results: A total of 2 070 patients were included in the study, of which 1 339 were male and 731 were female, and the mean age was (62.6±17.9) years. Of 696 (33.6%) who died in hospital, 968 (46.8%) were in the MFO<5%L/kg group, 530 (25.6%) were in the MFO 5%-10%L/kg group, and 572 (27.6%) were in the MFO≥10%L/kg group. Deceased patients had significantly higher fluid input than surviving patients during the first 3 days [7 642.0 (2 874.3, 13 639.5) ml vs. 5 738.0 (1 489.0, 7 153.5)ml], and lower fluid output [4 086.0 (1 367.0, 6 354.5) ml vs. 6 130.0 (2 046.0, 11 762.0) ml]. The cumulative survival rates in the three groups gradually decreased with length of ICU stay, and they were 74.9% (725/968) in the MFO<5% L/kg group, 67.7% (359/530) in the MFO 5%-10%L/kg group, and 51.6% (295/572) in the MFO≥10%L/kg group. Compared with the MFO<5%L/kg group, the MFO≥10%L/kg group had a 49% increased risk of inhospital mortality (HR=1.49, 95%CI 1.28-1.73). For each 1% L/kg increase in MFO, the risk of in-hospital mortality increased by 7% (HR=1.07, 95% CI 1.05-1.09). There was a"J-shaped"non-linear association between MFO and in-hospital mortality with a nadir of 4.1% L/kg. Conclusion: Higher and lower optimum fluid balance levels were associated with an increased risk of in-hospital mortality, as reflected by the observed J-shaped non-linear association between fluid overload and inhospital mortality.
Humans ; Male ; Female ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Hospital Mortality ; Cohort Studies ; Prospective Studies ; Water-Electrolyte Imbalance ; Sepsis ; Intensive Care Units ; Retrospective Studies