  Manuscript Status...  GO Article Detail Pediatric Logistic Organ Dysfunction-2, Pediatric Risk Of Mortality-IV And Pediatric Index Of Mortality-3 For Predicting Mortality In Pediatric Surgery Patients With Sepsis

Latar belakang. Penilaian derajat kesakitan (severity score of illness) telah dikembangkan sejalan dengan meningkatnyaperhatian terhadap evaluasi dan pemantauan pelayanan kesehatan. Skor yang telah dikembangkanuntuk anak adalah pediatric logistic organ dysfunction, pediatric risk of mortality, dan pediatric index ofmortality.Tujuan. Membandingkan ketepatan pediatric index of mortality-2 dengan skor pediatric logistic organdysfunction dalam memprediksi kematian pasien sakit kritis pada anak.Metode. Rancangan observasi longitudinal dengan subjek penelitian anak yang menderita sakit kritis, dirawatdi Bagian Ilmu Kesehatan Anak RSHS pada bulan Februari-Mei 2008. Dilakukan anamnesis, pemeriksaanfisis, dan laboratorium untuk mendapatkan pediatric index of mortality 2 dan skor pediatric logistic organdysfunction. Analisis statistik dengan menggunakan receiver operating characteristic (ROC) untuk menilaidiskriminasi dan Hosmer-Lemeshow goodness-of-fit untuk menilai kalibrasi.Hasil. Didapatkan 1215 anak berobat ke Bagian Ilmu Kesehatan Anak RS Hasan Sadikin Bandung, 120di antaranya merupakan pasien kritis. Pediatric index of mortality 2 memberikan hasil diskriminasi yanglebih baik (ROC 0,783; 95% CI 0,688–0,878) dibandingkan dengan pediatric logistic organ dysfunction(ROC 0,706; 95% CI 0,592–0,820). Pediatric index of mortality-2 memberikan hasil kalibrasi yang baik(Hosmer-Lemeshow goodness-of-fit test p=0,33; SMR 0,85) dibandingkan pediatric logistic organ dysfunction(p=0,00; SMR 1,37). PIM2 dan skor PELOD mempunyai korelasi positif dihitung dengan menggunakanSpearman’s correlation, r=0,288 (p=0,001).Kesimpulan. Pediatric index of mortality-2 memiliki kemampuan diskriminasi dan kalibrasi lebih baikdibandingkan dengan pediatric logistic organ dysfunction.

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Development and Performance of Electronic Pediatric Risk of Mortality and Pediatric Logistic Organ Dysfunction-2 Automated Acuity Scores*

Pediatric Critical Care Medicine ◽

10.1097/pcc.0000000000001998 ◽

2019 ◽

Vol 20 (8) ◽

pp. e372-e379 ◽

Cited By ~ 5

Author(s):

Christopher M. Horvat ◽

Henry Ogoe ◽

Sajel Kantawala ◽

Alicia K. Au ◽

Ericka L. Fink ◽

...

Keyword(s):

Organ Dysfunction ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality ◽

And Performance

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Predicting PICU patient survival prognosis: Pediatric Logistic Organ Dysfunction vs Pediatric Index of Mortality scores

Paediatrica Indonesiana ◽

10.14238/pi52.3.2012.165-9 ◽

2012 ◽

Vol 52 (3) ◽

pp. 165 ◽

Cited By ~ 2

Author(s):

Edwina Winiarti ◽

Muhammad Sholeh Kosim ◽

Mohammad Supriatna

Keyword(s):

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Pediatric Intensive Care ◽

Scoring Systems ◽

Survival Prognosis ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality ◽

Sensitivity Specificity ◽

Pediatric Index Of Mortality

Background Determining prognosis of patients using scoringsystems have been done in many pediatric intensive care units(PICU). The scoring systems frequently used are pediatric logisticorgan dy sfunction (PELOD), pediatric index of mortality (PIM)and pediatric risk of mortality (PRISM).Objective To compare the performance of PELOD and PIM scoresin predicting the prognosis of survival vs death in PICU patients.Methods A prognostic test in this prospective, cohort study wasconducted in the PICU of the Kariadi General Hospital, Semarang.PELOD and PIM calculations were performed using formulae frompreviously published articles. Statistical analyses included receiveroperating curve (ROC) characteristics to describe discriminationcapacity, sensitivity, specificity, positive predictive value, negativepredictive value and accuracy.Results Thirty-three patients fulfilling the inclusion criteria wereenrolled in the study. PELOD score for area under the ROCwas 0.87 (95% CI 0.73 to 1.0; P=0.003), while that for PIMwas 0.65 (95% CI 0.39 to 0.90; P=0.2). PELOD scores showedsensitivity 85.7% (95% CI 59.8 to 100), specificity 84.6% (95%CI 70.7 to 98.5), positive predictive value 60.0% (95% CI 29.6to 90.4) negative predictive value 95.6% (95% CI 87.3 to 100)and accuracy 84.8%. PIM scores showed sensitivity 85.7% (95%CI 59.8 to 100), specificity 50.0% (95% CI 30.8 to 69.2), positivepredictive value 31.6% (95% CI 10,7 to 52.5), negative predictivevalue 92.9% (95% CI 79.4 to 100) and accuracy 57.6%.Conclusion PELOD scoring had better specificity, positive predictivevalue, negative predictive value, accuracy and discrimination capacitythan PIM scoring for predicting the survival prognosis of patients inthe PICU. [Paediatr Indones. 2012;52:165-9].

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Comparación de las escalas de mortalidad Pediatric Risk of Mortality (PRISM) y Pediatric Logistic Organ Dysfunction (PELOD) en pacientes pediátricos en una unidad de cuidados intensivos: Un estudio de centro único.

Revista Ecuatoriana de Pediatría ◽

10.52011/0111 ◽

2021 ◽

Vol 22 (2) ◽

Author(s):

Pamela Izquierdo Calahorrano ◽

Natalia Sanchez Sanchez ◽

Jenny Marisela Martinez Mena ◽

Ivan Guillermo Dueñas Espín

Keyword(s):

Organ Dysfunction ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality ◽

En 31

Introducción: El objetivo del presente estudio fue realizar un estudio de pruebas diagnósticas entre la escala PRISM III vs la escala PELOD para predecir mortalidad en pacientes que ingresan a la Unidad de Cuidados Intensivos (UCIP) del Hospital Pediátrico Baca Ortiz en el periodo de junio-diciembre 2019. Métodos: En el presente estudio observacional, retrospectivo, se registró la mortalidad y las variables que conforman cada una de las escalas predictivas. Se aplicó estadística descriptiva e inferencial, cálculo del área bajo la curva de ROC. La calibración, se calculó usando el chi2 de Hosmer Lemeshow y la tasa de mortalidad estandarizada mediante le paquete estadístico STATA v16. Resultados: Ingresaron al estudio 150 pacientes. 99 pacientes (66%) fueron hombres, tuvieron una media de edad de 3 años (P25 a P75) de 1 mes a 14 años. La patología de ingreso más frecuente fue la enfermedad posquirúrgica en 43 pacientes (28.6%), y la insuficiencia respiratoria en 31 pacientes (21.6%). La mortalidad fue 12.7%, con una media de estancia hospitalaria de 5 días (1 a 60). La escala de PRIMS III con área bajo la curva de 0.80 (IC 95% de 0.70 a 0.90), sensibilidad 79 % y especificidad 63 % con un puntaje PRISM III de 13 puntos. La escala de PELOD con área bajo la curva de 0.7 (IC 95% de 0.5 a 0.80), sensibilidad de 79 % y especificidad de 60 % con un puntaje PELOD de 21 puntos. Conclusiones: la escala de PRISM III predice la mortalidad mejor que la escala PELOD en este grupo de pacientes pediátricos en las primeras 24 horas.

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COMPARISON OF PEDIATRIC LOGISTIC ORGAN DYSFUNCTION (PELOD) SCORE AND PEDIATRIC RISK OF MORTALITY (PRISM) III AS A MORTALITY PREDICTOR IN PATIENTS WITH DENGUE SHOCK SYNDROME

PEDIATRICS ◽

10.1542/peds.2007-2022nnnn ◽

2008 ◽

Vol 121 (Supplement 2) ◽

pp. S129.1-S129 ◽

Cited By ~ 1

Author(s):

Henny R. Iskandar ◽

Dharma Mulyo ◽

Praptiwi Agnes ◽

Yuliatmoko Suryatin

Keyword(s):

Organ Dysfunction ◽

Dengue Shock Syndrome ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality ◽

Pelod Score

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Perbandingan Pediatric Logistic Organ Dysfunction dan Pediatric Risk of Mortality III Sebagai Prediktor Kematian Sindrom Syok Dengue di Ruang Rawat Intensif Anak

Sari Pediatri ◽

10.14238/sp12.6.2011.440-6 ◽

2016 ◽

Vol 12 (6) ◽

pp. 440

Author(s):

Henny Rosita Iskandar ◽

Dharma Mulyo ◽

Antonius Pudjiadi ◽

Agnes Pratiwi ◽

Yuliatmoko Suryatin

Keyword(s):

Receiver Operating Characteristic ◽

Organ Dysfunction ◽

Operating Characteristic ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality ◽

Receiver Operating

Latar belakang. Sindrom syok dengue (SSD) merupakan bentuk demam berdarah dengue (DBD) berat.Mortalitas SSD pada Rumah Sakit Anak dan Bunda Harapan Kita (RSAB HK) cukup tinggi ( 13,2% ).Tujuan. Menilai perbandingan pediatric logistic organ dysfunction (PELOD) dan pediatric risk of mortality(PRISM) III sebagai prediktor kematian SSD pada anak yang dirawat di ruang perawatan intensif anak.Metode. Penelitian prospektif, 41 anak dengan SSD yang dirawat di ruang perawatan intensif dari bulanJanuari - Desember 2006 di RSAB HK dilibatkan dalam penelitian. Diagnosis SSD ditegakkan berdasarkankriteria WHO tahun 1997 dan dikonfirmasi dengan serologi positif Dengue Blot yang dilakukan pada harikelima demam. Perhitungan skor PELOD and PRISM III dilakukan dari hasil pemeriksaan pada haripertama masuk ruang rawat intensif.Hasil. Terdapat 41 subyek yang diteliti, umur dari 8 sampai 180 bulan. Kematian terjadi pada 5 anak(12,1%). Rerata skor PELOD anak yang meninggal 22,2 dan yang hidup 7,7 sedangkan rerata skor PRISMIII anak yang meninggal 22 dan yang hidup 9,4. Analisa skor PELOD dan PRISM III menurut Mann-Whitney U test terdapat perbedaan bermakna antara anak yang meninggal dan hidup dengan p = 0,001untuk PELOD dan p=0,005 untuk PRISM III. Kurva receiver operating characteristic (ROC) dengan CI95% 0,953 untuk PELOD dan 0,889 untuk PRISM III.Kesimpulan. Skor PELOD dan PRISM III merupakan alat yang baik untuk memprediksi kematian pasienanak SSD yang dirawat di ruang intensif anak. Skor PELOD sedikit lebih baik dari skor PRISM III.

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Continuous Renal Replacement Therapy for Treatment of Severe Attacks of Inborn Errors of Metabolism

Journal of Pediatric Intensive Care ◽

10.1055/s-0039-1683991 ◽

2019 ◽

Vol 08 (03) ◽

pp. 164-169

Author(s):

Ayse Filiz Yetimakman ◽

Selman Kesici ◽

Murat Tanyildiz ◽

Benan Bayrakci

Keyword(s):

Early Intervention ◽

Renal Replacement Therapy ◽

Continuous Renal Replacement Therapy ◽

Replacement Therapy ◽

Organ Dysfunction ◽

Inborn Errors Of Metabolism ◽

Metabolic Balance ◽

Inborn Errors ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality

AbstractSevere metabolic crises in children with inborn errors of metabolism can result in mortality or severe morbidities where continuous renal replacement therapy (CRRT) can be lifesaving. Clinical data, the pediatric risk of mortality (PRISM) scores calculated in the first 24 hours, and pediatric logistic organ dysfunction (PELOD) scores calculated in the last 24 hours before CRRT, were studied. Overall, CRRT was successful in restoring metabolic balance in 72% of patients. PELOD scores before CRRT were lower in survivors (p = 0.02). Despite numerous comorbid factors, CRRT can be used effectively in management of metabolic crises. Early intervention with this therapy before occurrence of complications must be targeted.

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Evaluation of Severity of Illness Scores in the Pediatric ECMO Population

Frontiers in Pediatrics ◽

10.3389/fped.2021.698120 ◽

2021 ◽

Vol 9 ◽

Author(s):

Venessa L. Pinto ◽

Danielle Guffey ◽

Laura Loftis ◽

Melania M. Bembea ◽

Philip C. Spinella ◽

...

Keyword(s):

Retrospective Cohort ◽

Pediatric Patients ◽

Area Under The Curve ◽

Severity Of Illness ◽

Roc Curves ◽

Operating Characteristics ◽

Logistic Organ Dysfunction ◽

Risk Of Mortality ◽

Pediatric Icu ◽

Pediatric Index Of Mortality

Though commonly used for adjustment of risk, severity of illness and mortality risk prediction scores, based on the first 24 h of intensive care unit (ICU) admission, have not been validated in the pediatric extracorporeal membrane oxygenation (ECMO) population. We aimed to determine the association of Pediatric Index of Mortality 2 (PIM2), Pediatric Risk of Mortality Score III (PRISM III) and Pediatric Logistic Organ Dysfunction (PELOD) scores with mortality in pediatric patients on ECMO. This was a retrospective cohort study of children ≤18 years of age included in the Pediatric ECMO Outcomes Registry (PEDECOR) from 2014 to 2018. Logistic regression and Receiver Operating Characteristics (ROC) curves were used to calculate the area under the curve (AUC) to evaluate association of mortality with the scores. Of the 655 cases, 289 (44.1%) did not survive until hospital discharge. AUCs for PIM2, PRISM III, and PELOD predicting mortality were 0.52, 0.52, and 0.51 respectively. PIM2, PRISM III, and PELOD scores are not associated with odds of mortality for pediatric patients receiving ECMO. These scores for a general pediatric ICU population should not be used for prognostication or risk stratification of a select population such as ECMO patients.

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