Performance of PRISM III, PELOD-2, and P-MODS Scores in Two Pediatric Intensive Care Units in China

Zhang, Lidan; Wu, Yuhui; Huang, Huimin; Liu, Chunyi; Cheng, Yucai; Xu, Lingling; Wen, Tao; Luo, Xue-Qun

doi:10.3389/fped.2021.626165

Cited by 11 publications

(8 citation statements)

References 27 publications

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“…However, we were not able to confirm the association between albumin and mortality. Several studies and meta-analyses ( 32 – 34 ) showed PRISM-III had good performance for mortality prediction in PICU. In our study, we confirmed that PRISM-III can be served as the indicator to an independently predictor of mortality.…”

Section: Discussionmentioning

confidence: 99%

The Use of Bioelectrical Impedance Analysis Measures for Predicting Clinical Outcomes in Critically Ill Children

et al. 2022

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BackgroundThe study aimed to investigate the association of bioelectrical impedance analysis (BIA) for predicting clinical outcomes in critically ill children.MethodsThis single-center prospective observational study included patients admitted to a mixed Pediatric Intensive Care Unit (PICU). All patients underwent anthropometric measurement and BIA measurements in the first 24 h of admission. The patients were classified into different groups based on body mass index (BMI) for age. Electronic hospital medical records were reviewed to collect clinical data for each patient. All the obtained data were analyzed by the statistical methods.ResultsThere were 231 patients enrolled in our study, of which 31.6% were diagnosed with malnutrition. The phase angle (PhA) of 90-day survivors was significantly higher than that of the non-survivors (4.3° ± 1.1°vs. 3.1° ± 0.9°, P = 0.02). The age-adjusted Spearman partial correlation analysis showed a weak negative correlation between PhA and duration of medical ventilation (rs = -0.42, P < 0.05). Furthermore, length of stay in PICU has a very weak correlation with ECW/TBW (rs = 0.29, P < 0.05), and a negative correlation with protein (rs = -0.27, P < 0.05). Multivariate analysis found that PhA was a significant predictor associated with the 90-day mortality when it was adjusted for PRISM III score (adjusted OR = 1.51, CI: 1.10–2.07, p = 0.01). The area under the ROC (AUROC) of PhA for predicting 90-day mortality was 0.69 (95% CI: 0.53–0.85, p < 0.05), and the cutoff value of PhA was 3.0°, with a sensitivity and specificity of 83 and 53%, respectively.ConclusionBIA-derived PhA was found to be an independent predictor of 90-day mortality among critically ill children. A low PhA was associated with a prolonged duration of medical ventilation.

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Section: Discussionmentioning

confidence: 99%

The Use of Bioelectrical Impedance Analysis Measures for Predicting Clinical Outcomes in Critically Ill Children

et al. 2022

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“…This was confirmed through the Hosmer-Lemeshow goodness-of-fit test (PRISM III: χ2 = 5.667, p = 0.368; PELOD-2: χ2 = 9.582, p = 0.276). 24 In this study, the free hormone variable (FT3) investigation was deemed more effective in assessing thyroid hormone function. This is because free hormones can penetrate cells and carry out their biological functions.…”

Section: Resultsmentioning

confidence: 99%

Correlation Between Free Triiodothyronine (FT3) with PELOD-2 Score and PICU Length of Stay in Critically Ill Pediatric

Rini

Mayetti

2023

Int J Res Rev

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Background: Thyroid function disorders, particularly reduced FT3 levels, are frequently observed in critically ill patients. FT3 plays a crucial role in metabolic regulation during critical illness. The extent of the decrease in FT3 levels directly corresponds to the severity of the disease, as indicated by the PELOD-2 score, and indirectly influences the length of stay in the Pediatric Intensive Care Unit (PICU). This study aims to examine the relationship between free triiodothyronine (FT3) levels and both the PELOD-2 score and the length of stay in critically ill pediatric patients. Methods: Cross-sectional study was conducted at Dr. M Djamil Hospital's Pediatric Intensive Care Unit (PICU) from June to September 2022. The study included critically ill pediatric patients who accept the informed consent and were well-nourished, while individuals with a history of thyroid disease, those using exogenous/thyroid hormone/antithyroid drugs, individuals with chronic diseases, and those with Down's syndrome were excluded. The levels of FT3 and PELOD-2 scores were measured within 48 hours of admission, while the length of stay was obtained from medical records. Data analysis was performed using the SPSS program, utilizing the Spearman correlation test. Result: Thirty subjects were included in the study. The mortality rate was 30%. The median FT3 level was 1.5 pg/mL. FT3 levels were low in 26 of 30 samples. There was a significant negative correlation (p = 0,001) between FT3 levels and PELOD-2 scores with moderate value (r = -0.567) and no significant correlation between FT3 levels and PICU length of stay. Conclusion: The lower FT3 level measured, the higher PELOD-2 score found in critically ill children. Keywords: FT3, PELOD-2 score, length of stay, critically ill pediatric

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“…The study flow diagram is shown in Figure 1 . A total of 29 studies were included for quantitative synthesis, among them, 18 studies that reported on the scoring systems PRISM-III/IV, ( 3 , 4 , 11 , 14 – 21 , 23 – 27 , 37 ), 11 studies that reported data on PIM-3 ( 3 , 4 , 7 , 14 , 16 , 18 , 20 , 28 – 31 ), and nine studies that reported data on PELOD-2 ( 5 , 14 , 16 , 28 , 32 – 36 ). Four studies were reported from India ( 4 , 7 , 17 , 34 ), two from Australia ( 20 , 32 ), two from China ( 20 , 32 ), two from Egypt ( 15 , 18 ), one from Pakistan ( 19 , 26 ), two from Korea ( 14 , 36 ), one from Mexico ( 21 ), one from Singapore ( 28 ), one from UAE ( 29 ), one from Indonesia ( 30 ), one from Africa ( 33 ), one from Saudi Arabia ( 11 ), two from Turkey ( 22 , 24 ), one from Sweden ( 23 ), one from Brazil ( 37 ), one from Switzerland ( 5 ), one from Thailand ( 27 ), one from Italy ( 31 ), and one multi-centric ( 25 ).…”

Section: Resultsmentioning

confidence: 99%

Meta-Analysis for the Prediction of Mortality Rates in a Pediatric Intensive Care Unit Using Different Scores: PRISM-III/IV, PIM-3, and PELOD-2

Shen

José²

2021

Front. Pediatr.

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Introduction: The risk of mortality is higher in pediatric intensive care units (PICU). To prevent mortality in critically ill infants, optimal clinical management and risk stratification are required.Aims and Objectives: To assess the accuracy of PELOD-2, PIM-3, and PRISM-III/IV scores to predict outcomes in pediatric patients.Results: A total of 29 studies were included for quantitative synthesis in meta-analysis. PRISM-III/IV scoring showed pooled sensitivity of 0.78; 95% CI: 0.72–0.83 and pooled specificity of 0.75; 95% CI: 0.68–0.81 with 84% discrimination performance (SROC 0.84, 95% CI: 0.80–0.87). In the case of PIM-3, pooled sensivity 0.75; 95% CI 0.71–0.79 and pooled specificity 0.76; 95% CI 0.73–0.79 were observed with good discrimination power (SROC, 0.82, 95% CI 0.78–0.85). PELOD-2 scoring system had pooled sensitivity of 0.78 (95% CI: 0.71–0.83) and combined specificity of 0.75 (95% CI: 0.68–0.81), as well as good discriminating ability (SROC 0.83, 95% CI: 0.80–0.86) for mortality prediction in PICU patients.Conclusion: PRISM-III/IV, PIM-3, and PELOD-2 had good performance for mortality prediction in PICU but with low to moderate certainty of evidence. More well-designed studies are needed for the validation of the study results.

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Performance of PRISM III, PELOD-2, and P-MODS Scores in Two Pediatric Intensive Care Units in China

Cited by 11 publications

References 27 publications

The Use of Bioelectrical Impedance Analysis Measures for Predicting Clinical Outcomes in Critically Ill Children

The Use of Bioelectrical Impedance Analysis Measures for Predicting Clinical Outcomes in Critically Ill Children

Correlation Between Free Triiodothyronine (FT3) with PELOD-2 Score and PICU Length of Stay in Critically Ill Pediatric

Meta-Analysis for the Prediction of Mortality Rates in a Pediatric Intensive Care Unit Using Different Scores: PRISM-III/IV, PIM-3, and PELOD-2

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