小儿死亡危险评分的临床应用

目的观察小儿死亡危险评分(PRISM评分)与PICU急性危重症患儿预后的关系。方法对2003年2-10月PICU收治急性危重症45例,回顾性评定PRISM评分,并依据评分分组,记录患儿临床资料和住院时间、预后。结果PRISM 评分<15分24例,>15分21例。两组年龄、体质量和院内感染率均无显著差异(P均>0.05)。两组死亡率分别为8.1%(2/ 24例)和38.1%(8/21例),PRISM评分<15分组死亡率明显低于>15分组(x2=4.14 P<0.05)。PRISM>15分组存活病例住院天数(13.2±6.1)d显著长于PRISM<15分组(9.7±8.5)d(t=1.74.P<0.05)。结论PRISM评分越高,死亡率随之增加。PRISM评分增高,患儿住院时间越长。PRISM评分能够准确评估急性危重症病人的严重程度和预后。     

Evaluation of Pediatric Risk of Mortality (PRISM) scoring in African children with falciparum malaria.

OBJECTIVE: Little is known about the use of generic severity scores in severe childhood infectious diseases. The purpose of this prospective study was to evaluate the performance of the Pediatric Risk of Mortality (PRISM) scoring system in predicting the outcome of falciparum malaria in African children. DESIGN, SETTING, PATIENTS: All children admitted to a 120-bed pediatric ward in a tertiary care hospital in Dakar, Senegal, with a primary diagnosis of acute malaria were assigned a PRISM score after 24 hrs or at time of death. INTERVENTIONS: None. RESULTS: PRISM discrimination, evaluated by areas under receiver operating characteristic curves (AUC), was good both for all acute malaria cases (n = 311; lethality, 9%; AUC, 0.89; 95% confidence interval [CI], 0.85-0.92) and for severe malaria cases (n = 233; lethality, 12%; AUC, 0.86; 95% CI, 0.81-0.90). However, the number of children who died was greater than the number of deaths predicted by PRISM (standardized mortality ratio, 2.16; 95% CI, 1.46-2.87). CONCLUSION: This discrepancy observed in five classes of expected mortality (Hosmer-Lemeshow chi-square test, p < .001) may have been due to chance (sample size too small for a valid test), to a lower standard of care in Dakar than in the American hospitals where PRISM was designed, or to a failure of PRISM to classify risk in severe malaria.     

Prediction of mortality by application of PRISM score in intensive care unit.

OBJECTIVE: Prediction of mortality by application of Pediatric Risk of Mortality (PRISM) score in Pediatric Intensive Care Unit (PICU) patients under Indian circumstances. DESIGN: Prospective study. SETTING: PICU of a tertiary care multi-specialty hospital. METHODS: 100 sick pediatric patients admitted consecutively in PICU were taken for this study. PRISM score was calculated. Hospital outcome was recorded as (died/survived). The predicted death was calculated by the formula: RESULTS: Of 100 patients, 18 died and 82 survived. By PRISM score 49 children had the score of 1-9. The expected death in this group was 10.3% (n = 5.03) and the observed death was 8.2% (n = 4). Among 45 children with the score of 10-19, the expected mortality was 21.2% (n = 9.6) and observed was 24.4% (n = 11). There were 3 patients with the score of 20-29, the expected mortality in this group was 39.3% (n = 1.18) and observed mortality 33.3% (n = 1). There were 3 patients with score > or = 30, observed death 66.3% (n = 2) and expected mortality was 74.7% (n = 2.24). There was no significant difference between expected and observed mortality in any group. (p > 0.5). ROC analysis showed area under the curve of 72%. CONCLUSION: PRISM score has good predictive value in assessing the probability of mortality in relation to children admitted to a PICU under Indian circumstances.     

Severe upper airway obstruction in the tropics requiring intensive care

BACKGROUND: The clinical profile of severe upper airway obstruction, a challenging acute pediatric emergency, has not been extensively documented in the developing nations of the tropics. METHODS: The diagnostic categories, severity of illness and outcome from 63 episodes of severe upper airway obstruction in 56 children admitted to the Pediatric Intensive Care Unit between January 1994 and December 1999 were reviewed. Outcome variables studied included requirement for ventilation, mortality and complications. Severity of illness was determined with the Pediatric Risk of Mortality (PRISM) II score. RESULTS: Viral croup (29%) was the most common diagnosis, followed by mediastinal malignancy (13%), bacterial tracheitis (11%) and Pierre Robin syndrome (11%). There were no admissions for acute epiglottitis. Thirty episodes (48%) required ventilation for a median duration of 4.0 days. Bacterial tracheitis (100%) and subglottic stenosis (100%) were the most likely diagnoses requiring ventilation. Difficulty in intubation was encountered in 13 episodes (43%) involving, in particular, patients with bacterial tracheitis (83%; P = 0.006). Only two patients required a tracheostomy. The overall mortality was 11%. The PRISM score for all categories was generally low (mean 10.3 +/- 1.0; median 9.0). Non-survivors had a significantly higher PRISM II score than survivors (27.4 +/- 9.7 vs 8.1 +/- 4.9, respectively; P = 0.002) and were more likely to include children with bacterial tracheitis and mediastinal malignancy. CONCLUSIONS: There is marked heterogeneity in the causes of upper airway obstruction in the tropics with viral croup remaining the most common. A significant proportion required ventilation, but outcome is generally favorable, except in those with bacterial tracheitis and mediastinal malignancy.     

Simplified PRISM III score and outcome in the pediatric intensive care unit

BACKGROUND: To evaluate the association of the PRISM III (pediatric risk of mortality) score with the infant outcome in the pediatric intensive care unit (PICU), and to determine if this score could be simplified. METHODS: A prospective cohort study was carried out with 170 infants who were consecutively admitted to the PICU. The PRISM III score with 17 physiologic variables was performed during the first 8 h of admission to the unit. Statistical analysis was done with logistic regression, odds ratios (OR) with 95% confidence intervals (95% CI), and receiver operating curve. The Alfa value was set at 0.05. RESULTS: There were 42 deaths (24.7%). The two main causes of death were septic shock (28.6%) and head trauma (16.7%). The PRISM III score had a sensitivity of 0.71, and a specificity of 0.64 as a mortality predictor. Out of the 17 physiologic variables only four of them were significant: abnormal pupillary reflexes OR 9.9 (95% CI, 3.5-28.4), acidosis OR 3.1 (95% CI, 2.0-4.9), blood urea nitrogen concentration OR 1.03 (95% CI, 1.01-1.04), and white blood cell count OR 1.02 (95% CI, 1.01-1.03). The whole logistic regression model had a coefficient of determination R(2) = 0.219, P < 0.001. CONCLUSIONS: In this setting, the PRISM III score had good sensitivity and specificity to predict mortality. This score could be simplified using only the four variables that were significant in this study. This modified PRISM III score could reduce the cost of patient care especially in developing countries PICU.     

Performance of Pediatric Risk of Mortality (PRISM), Pediatric Index of Mortality (PIM), and PIM2 in a pediatric intensive care unit in a developing country.

OBJECTIVE: To determine the discriminative ability and calibration of existing scoring systems in predicting the outcome (mortality) in children admitted to an Indian pediatric intensive care unit (PICU). DESIGN: Prospective cohort study. SETTING: Pediatric Intensive Care Unit, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, from July 1, 2002, to July 31, 2003. PATIENTS: A total of 246 patients were admitted. After exclusion of 29 neonates and two patients who stayed in the PICU for 0.8. However, all the models underpredicted mortality. The likely reasons for this could be differences in the patient profile and greater load of severity of illness being managed with lesser resources--both physical and human--and differences in the quality of care.     

小儿危重评分和死亡危险评分在监护室中的应用

目的 通过对PICU危重患儿小儿危重评分(PCIS)和小儿死亡危险评分(PRISM)的比较判断两种评分的临床应用价值.方法 对580例PICU住院患儿按照小儿危重评分标准、死亡及器官衰竭情况进行分组,根据各组PRISM评分分析比较各组问的差异性.结果 危重组、极危重组与非危重组各组间的PRISM评分差异有显著性(P<0.01);死亡组与存活组的PRISM评分值的差异也有显著性(P<0.01);PRISM评分随器官衰竭数增加而增高(P<0.05).结论 小儿危重评分和死亡危险评分对临床危重患儿的病情危重程度、死亡危险程度的判断有指导价值.     

Comparison of two different severity scores (Paediatric Risk of Mortality [PRISM] and the Glasgow Meningococcal Sepsis Prognostic Score [GMSPS]) in meningococcal disease: preliminary analysis

Two different illness severity scores, Pediatric Risk of Mortality (PRISM) and the Glasgow Meningococcal Sepsis Prognostic Score (GMSPS), were evaluated and compared in meningococcal disease in two paediatric intensive care units. Forty-nine children with a median age of 36 months who had meningococcal sepsis confirmed by laboratory data were evaluated. Overall mortality was 18%. The median GMSPS was 3 in survivors and 8 in non-survivors. A GMSPS > or = 8 was significantly associated with death (p = 0.0001) with a mortality predictivity and specificity of 70% and 92.5%, respectively. The median PRISM score in survivors was 5.5 and 23 in non-survivors. A PRISM score of > or = 11 was significantly related to death (p < 0.0001). The Kendal correlation co-efficient between GMSPS and PRISM showed tau = 0.6859 (p = 0.0000). It is concluded that GMSPS and PRISM are useful methods for identifying and classifying children into low and high risk categories. GMSPS > or = 8 or a PRISM score > or = 11 are significantly predictive of mortality.     

Paediatric intensive care in Kuala Lumpur, Malaysia: a developing subspecialty

Paediatric intensive care in Malaysia is a developing subspecialty with an increasing number of specialists with a paediatric background being involved in the care of critically ill children. A part prospective and part retrospective review of 118 consecutive non-neonatal ventilated patients in University Hospital, Kuala Lumpur was carried out from 1 June 1995 to 31 December 1996 to study the clinical epidemiology and outcome in our paediatric intensive case unit (PICU). The mean age of the patients was 33.9 +/- 6.0 months (median 16 months). The main mode of admission was emergency (96.6 per cent) with an overall mortality rate of 42 per cent (50/118). The mean paediatric risk of mortality (PRISM) score was 20 +/- 0.98 SEM, with 53 per cent of patients having a score of over 30 per cent. Multiorgan dysfunction (MODS) was identified in 71 per cent of patients. Admission efficiency (mortality risk > 1 per cent) was 97 per cent. Standardized mortality rate using PRISM was an acceptable 1.06. The main diagnostic categories were respiratory (32 per cent), neurology (22 per cent), haematology-oncology (18 per cent); the aetiology of dysfunction was mainly infective. Non-survivors were older (29.5 vs. 13.8 months, p < 0.0001), had more severe illness (mean PRISM score 30 vs. 14, p < 0.0001), were more likely to develop MODS (96 vs. 53 per cent, p < 0.0001) and required more intervention and monitoring. Paediatric intensive care in Malaysia differs widely from that in developed countries in patient characteristics, severity of illness, and care modalities provided.     

Sepsis, severe sepsis and septic shock in paediatric multiple organ dysfunction syndrome

OBJECTIVES: To determine the association between severity of sepsis with outcome and severity of illness in children with multiple organ dysfunction syndrome (MODS). MATERIALS: Four hundred and ninety-five consecutive paediatric intensive care unit (PICU) admissions were analysed. multiple organ dysfunction syndrome was defined as simultaneous dysfunction of >/= 2 organ system and sepsis by the American College of Chest Physicians and Society of Critical Care Medicine Consensus Conference definition. RESULTS: Eighty-four patients developed MODS. The incidence of sepsis, severe sepsis and septic shock in these patients was 10.7%, 23.8% and 17.9%, respectively. Worsening categories of sepsis were associated with: (1) a higher mean admission Paediatric Risk of Mortality (PRISM II): 36.6 +/- 25.9, 56.8 +/- 32.1 and 73.6 +/- 28.5%, respectively (P = 0. 005), (2) a larger number of organ dysfunctions: mean MODS index of 37%, 46% and 58%, respectively (P = 0.007), and (3) a higher mortality: 22.2%, 65% and 80%, respectively (P = 0.03). CONCLUSION: Presence of sepsis, severe sepsis and septic shock was associated with an increasing severity of illness, increased number of organ dysfunctions and a distinct risk of mortality among critically ill children.     

儿童脓毒症发生毛细血管渗漏综合征的临床危险因素分析

目的：探讨脓毒症患儿出现毛细血管渗漏综合征(CLS)时的临床特点及相关危险因素。方法：回顾分析384例脓毒症患儿的临床资料。其中一般脓毒症304例,严重脓毒症54例,脓毒性休克26例。根据是否发生CLS将病例分为非CLS组（356例）和CLS组（28例）,将两组患儿的性别、年龄、营养不良、贫血、凝血功能障碍、白细胞计数、CRP、PCT、TNF、IL-1、IL-6、血糖、乳酸、PRISM Ⅲ评分、PICS评分、严重脓毒症及休克和器官功能衰竭≥3个等因素进行单因素分析,再将有统计学意义的指标作为自变量,进行多因素logistic 回归分析。结果：脓毒性休克、严重脓毒症和一般脓毒症组患儿CLS发生率分别为42.3%、20.1%及1.3%,差异有统计学意义（P＜0.01）。贫血、凝血功能障碍、CRP、PCT＞2 ng/mL、TNF、IL-1、IL-6、血糖、乳酸、PRISMⅢ评分、PICS评分、严重脓毒症及休克和MODS≥3个在非CLS组和CLS组间比较差异均有统计学意义（P<0.05）;严重脓毒症及休克和PRISMⅢ评分为脓毒症患儿发生CLS的独立危险因素。结论：脓毒症患儿病情越严重,PRISMⅢ评分越高,发生CLS的比例越高。故对于严重脓毒症和PRISMⅢ评分越高的患儿,早期监测感染标志物及血糖等相关结果,可能有助于早期识别CLS及积极干预,降低儿童脓毒症合并CLS的病死率。     

Predictors of outcome in the pediatric intensive care units of children with malignancies

PURPOSE: Children with malignancies in whom life-threatening complications develop are traditionally considered as having a grim prognosis. Clinical predictors of short-term outcome for rational triage to pediatric intensive care units (PICU) were retrospectively assessed. PATIENTS AND METHODS: The records of 94 children consecutively admitted to the PICU at the authors' institution between January 1989 and January 1999 were reviewed, and predictors of 30-day mortality rates were delineated using stepwise logistic regression. RESULTS: The children's mean age was 7.3 years (range, 2-21). Their diseases included hematologic malignancies 45 (48%), extracranial solid tumors 21 (22%), and intracranial tumors 28 (30%). The overall 30-day survival rate was 66%. Mortality was highest among children admitted for respiratory failure (40%). High mortality was also found for those with circulatory collapse (33.3%) and neurologic deterioration (31%). The admitting pediatric risk of mortality score (PRISM) among the survivors was 6.6 +/- 1.3, compared with 15.2 +/- 3 among nonsurvivors (P < 0.01). The number of organ system failures was higher among the nonsurvivors on admission (P < 0.001). The need for ventilatory or inotropic support corresponded to worse outcome (P < 0.001 or P < 0.01, respectively). Overall, 36 (38%) of the children had sepsis during their PICU stay, with a mortality rate of 50% compared with 24% among nonseptic children (P < 0.01). Sepsis present on admission was later correlated with the development of organ system failure (P < 0.01). CONCLUSIONS: New trends in therapeutic approaches to children with malignancies can clearly improve outcome. The high (66%) survival rate justifies policy of early admission to the PICU of children in whom signs of multiorgan involvement start to develop, as reflected by high PRISM and the need for ventilatory or inotropic support. Further refinement of reliable clinical predictors of survival will enable better triage of these children to the PICU for possible prevention of systemic complications and reduction of mortality rates.     

Mortality Risk Prediction by Application of Pediatric Risk of Mortality Scoring System in Pediatric Intensive Care Unit

Objective

The Pediatric Risk of Mortality (PRISM) score is one of the scores used by many pediatricians for prediction of the mortality risk in the pediatric intensive care unit (PICU). Herein, we intend to evaluate the efficacy of PRISM score in prediction of mortality rate in PICU.

Methods

In this cohort study, 221 children admitted during an 18-month period to PICU, were enrolled. PRISM score and mortality risk were calculated. Follow up was noted as death or discharge. Results were analyzed by Kaplan-Meier curve, ROC curve, Log Rank (Mantel-Cox), Logistic regression model using SPSS 15.

Findings

Totally, 57% of the patients were males. Forty seven patients died during the study period. The PRISM score was 0-10 in 71%, 11-20 in 20.4% and 21-30 in 8.6%. PRISM score showed an increase of mortality from 10.2% in 0-10 score patients to 73.8% in 21-30 score ones. The survival time significantly decreased as PRISM score increased (P≤0.001). A 7.2 fold mortality risk was present in patients with score 21-30 compared with score 0-10. ROC curve analysis for mortality according to PRISM score showed an under curve area of 80.3%.

Conclusion

PRISM score is a good predictor for evaluation of mortality risk in PICU.     

Effect of a pediatric trauma response team on emergency department treatment time and mortality of pediatric trauma victims

OBJECTIVE: Delay in the provision of definitive care for critically injured children may adversely effect outcome. We sought to speed care in the emergency department (ED) for trauma victims by organizing a formal trauma response system. DESIGN: A case-control study of severely injured children, comparing those who received treatment before and after the creation of a formal trauma response team. SETTING: A tertiary pediatric referral hospital that is a locally designated pediatric trauma center, and also receives trauma victims from a geographically large area of the Western United States. SUBJECTS: Pediatric trauma victims identified as critically injured (designated as "trauma one") and treated by a hospital trauma response team during the first year of its existence. Control patients were matched with subjects by probability of survival scores, and were chosen from pediatric trauma victims treated at the same hospital during the year preceding the creation of the trauma team. INTERVENTIONS: A trauma response team was organized to respond to pediatric trauma victims seen in the ED. The decision to activate the trauma team (designation of patient as "trauma one") is made by the pediatric emergency medicine (PEM) physician before patient arrival in the ED, based on data received from prehospital care providers. Activation results in the notification and immediate travel to the ED of a pediatric surgeon, neurosurgeon, emergency physician, intensivist, pharmacist, radiology technician, phlebotomist, and intensive care unit nurse, and mobilization of an operating room team. Most trauma one patients arrived by helicopter directly from accident scenes. OUTCOME MEASURES: Data recorded included identifying information, diagnosis, time to head computerized tomography, time required for ED treatment, admission Revised Trauma Score, discharge Injury Severity Score, surgical procedures performed, and mortality outcome. Trauma Injury Severity Score methodology was used to calculate the probability of survival and mortality compared with the reference patients of the Major Trauma Outcome Study, by calculation of z score. RESULTS: Patients treated in the ED after trauma team initiation had statistically shorter times from arrival to computerized tomography scanning (27 +/- 2 vs 21 +/- 4 minutes), operating room (63 +/- 16 vs 623 +/- 27 minutes) and total time in the ED (85 +/- 8 vs 821 +/- 9 minutes). Calculation of z score showed that survival for the control group was not different from the reference population (z = -0.8068), although survival for trauma-one patients was significantly better than the reference population (z = 2.102). CONCLUSION: Before creation of the trauma team, relevant specialists were individually called to the ED for patient evaluation. When a formal trauma response team was organized, time required for ED treatment of severe trauma was decreased, and survival was better than predicted compared with the reference Major Trauma Outcome Study population.     

Use of telemedicine to provide pediatric critical care inpatient consultations to underserved rural Northern California

OBJECTIVE: To report a novel application of telemedicine and to assess the resulting quality and satisfaction of care.Study design An existing telemedicine program was evaluated through the use of a nonconcurrent cohort design. Cohorts of patients were compared by means of the Pediatric Risk of Mortality, version III (PRISM III), to adjust for severity of illness and assess risk-adjusted mortality rates. Satisfaction and quality of care surveys administered to the pediatric patient's parents and providers were also analyzed. RESULTS: Telemedicine consultations (n=70) were conducted on 47 patients during a 2-year period. Patients receiving telemedicine consultations were sicker than the average pediatric patient cared for in the adult intensive care unit (ICU) (n=180) and compared with historic control pediatric patients (n=116) (mean PRISM III score of 9.6 versus 7.7 and 7.5, respectively). PRISM III-standardized mortality ratios were consistent among the same cohorts of patients (0.24, 0.36, and 0.37, respectively). Overall satisfaction and perception of quality of care was high among parents and rural health care providers. CONCLUSIONS: This study demonstrates that a regional pediatric ICU-based telemedicine program providing live interactive consultations to a rural adult ICU can provide quality care that is considered highly satisfactory to a select group of critically ill pediatric patients.     

Risk score for pediatric intensive care unit admission in children undergoing hematopoietic stem cell transplantation and analysis of predictive factors for survival

The authors retrospectively analyzed postransplantation events in 198 children who underwent hematopoietic stem cell transplantation (HSCT) between 1998 and 2002 to obtain a risk score for pediatric intensive care unit (PICU) admission and to ascertain variables predicting a poor outcome. Thirty-six patients (18%) were admitted to the PICU. Median age was 9 years (range 1-18). On univariate analysis, variables significantly associated with PICU admission were male gender (P = 0.01), more than first complete remission (P = 0.003), allogeneic transplantation (P = 0.001), engraftment syndrome (P = 0.03), and acute graft-versus-host disease grade of at least two (P = 0.05). According to this, patients were divided in two levels of risk (low and high), with a respective probability of PICU admission of 8.8 +/- 2.2% and 63.8 +/- 8.8% (P < 0.0001). Seventeen (47%) patients were discharged from the PICU. The probability of event-free survival after PICU admission at 3 years was 24.2 +/- 7%. On univariate analysis, variables with a negative impact on event-free survival were type of transplantation, inotropic support, a C-reactive protein level of at least 10 mg/dL, and a high O-PRISM score. On multivariate analysis, the only variable that influenced event-free survival was the O-PRISM score (< or =10 points, 54.6 +/- 15.3%; >10 points, 8.6 +/- 5.8%; P = 0.007). In conclusion, the risk of PICU admission may be easily estimated using simple variables. A high O-PRISM score at the time of PICU admission predicts a dismal outcome.     

Risk adjusted mortality of critical illness in a defined geographical region.

AIMS: To evaluate the performance of the Paediatric Risk of Mortality (PRISM) score in a population of UK children and to use this score to examine severity of illness adjusted mortality of critically ill children <16 years old in a defined geographical region. METHODS: Observational study of a defined population of critically ill children (<16 years old) admitted to hospitals in the South West Region between 1 December 1996 and 30 November 1998. RESULTS: Data were collected from 1148 eligible admissions. PRISM was found to perform acceptably in this population. There was no significant difference between the overall number of observed deaths and those predicted by PRISM. Admissions with mortality risk 30% or greater had significantly greater odds ratio for death in general intensive care units compared with the tertiary paediatric intensive care unit. CONCLUSIONS: Children with a high initial risk of mortality based on PRISM score were significantly more likely to survive in a tertiary paediatric intensive care unit than in general intensive care units in this region. However, there was no evidence from this study that admissions with lower mortality risk than 30% had significantly worse mortality in non-tertiary general units than in tertiary paediatric intensive care units.     

Risk adjusted mortality of critical illness in a defined geographical region

Aims: To evaluate the performance of the Paediatric Risk of Mortality (PRISM) score in a population of UK children and to use this score to examine severity of illness adjusted mortality of critically ill children <16 years old in a defined geographical region. Methods: Observational study of a defined population of critically ill children (<16 years old) admitted to hospitals in the South West Region between 1 December 1996 and 30 November 1998. Results: Data were collected from 1148 eligible admissions. PRISM was found to perform acceptably in this population. There was no significant difference between the overall number of observed deaths and those predicted by PRISM. Admissions with mortality risk 30% or greater had significantly greater odds ratio for death in general intensive care units compared with the tertiary paediatric intensive care unit. Conclusions: Children with a high initial risk of mortality based on PRISM score were significantly more likely to survive in a tertiary paediatric intensive care unit than in general intensive care units in this region. However, there was no evidence from this study that admissions with lower mortality risk than 30% had significantly worse mortality in non-tertiary general units than in tertiary paediatric intensive care units.     

Evaluation of the outcome of patients admitted to the pediatric intensive care unit in Alexandria using the pediatric risk of mortality (PRISM) score

The aim of this prospective study was to evaluate the use of pediatric risk of mortality (PRISM) score to predict the patient outcome in Alexandria Pediatric Intensive Care Unit (PICU). The study included all admissions to a tertiary care teaching hospital for 13 months. All patients were subjected to thorough history taking and clinical examination. The PRISM score was obtained within 8 h from admission (including 14 parameters with 34 variables). The primary affected system, referral site, number of organ failure on admission, length of hospital stay (LOS) and outcome of patients were recorded. The bed occupancy rate, turnover rate, average LOS, total and adjusted death rates were also recorded. Results showed that the total and adjusted mortality rates were 50 and 38 per cent respectively (n = 205/406 and 125/326, respectively). The mean PRISM score on admission was 26. Non-survivors showed a significantly higher mean score compared with survivors (36 vs. 17). Non-survivors compared with survivors, were significantly younger (12 vs. 23 months), had shorter LOS (3.8 vs. 5.3 days), three or four organ system failure on admission (77 vs. 25 per cent, and 9 vs. 0 per cent of patients) and had significantly higher percentage of sepsis syndrome and neurological diseases, as the primary affected system (20 vs. 10 per cent and 26 vs. 16 per cent). The PRISM score showed a significant positive correlation only with the number of organ failure on admission (r = 0.8104; p < 0.001). The cut-off point of survival was a PRISM score 26 with expected/observed ratio of 1.05 for non-survivors with 91.6 per cent accuracy. Multiple logistic regression analysis revealed that PRISM score, LOS, and the primary affected system were relevant predictors of patient outcome in PICU. In conclusion, the PRISM score is proved to be a good predictor of outcome for children admitted to a PICU with a cut-off point of 26. The mortality in the PICU is affected by LOS, primary system affected, and number of organ failure on admission.     

Ferritin levels in children with severe sepsis and septic shock

AIM: To evaluate serum ferritin level in children with severe sepsis and septic shock and its association with mortality. METHOD: A cohort study of 36 children aged 1 month-16 years with severe sepsis or septic shock requiring intensive care was conducted. Serum ferritin levels were measured at the time of diagnosis of sepsis and a ferritin index (FI=observed serum ferritin divided by the upper limit of normal ferritin for age and gender) was calculated. RESULTS: The median age (range) of the children was 6 (2-100) months. Ferritin was <200 ng/mL in 13 children, 200-500 ng/mL in 11 children and >500 ng/mL in 12 children. The mortality associated with these groups was 23%, 9% and 58%, respectively. A ferritin>500 ng/mL was associated with a 3.2 (1.3-7.9) relative risk of death (p=0.01). FI of 1.7 was the best cutoff value for identifying those who died. In a logistic regression analysis, ferritin level and PRISM were independently associated with mortality. CONCLUSIONS: Ferritin is raised in children with septic shock and high ferritin level is associated with poorer outcome.