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.     

Identifying futility in a paediatric critical care setting: a prospective observational study

AIMS—To determine the extent of futile care provided to critically ill children admitted to a paediatric intensive care setting.METHODS—Prospective evaluation of consecutive admissions to a 20 bedded multidisciplinary paediatric intensive care unit of a North London teaching hospital over a nine month period. Three previously defined criteria for futility were used: (1) imminent demise futility (those with a mortality risk greater than 90% using the Paediatric Risk of Mortality (PRISM II) score); (2) lethal condition futility (those with conditions incompatible with long term survival); and (3) qualitative futility (those with unacceptable quality of life and high morbidity).RESULTS—A total of 662 children accounting for 3409 patient bed days were studied. Thirty four patients fulfilled at least one of the criteria for futility, and used a total of 104 bed days (3%). Only 33 (0.9%) bed days were used by patients with mortality risk greater than 90%, 60 (1.8%) by patients with poor long term prognosis, and 16 (0.5%) by those with poor quality of life. Nineteen of 34 patients died; withdrawal of treatment was the mode of death in 15 (79%).CONCLUSIONS—Cost containment initiatives focusing on futility in the paediatric intensive care unit setting are unlikely to be successful as only relatively small amounts of resources were used in providing futile care. Paediatricians are recognising futility early and may have taken ethically appropriate measures to limit care that is futile.     

Incidence of acute respiratory distress syndrome: a comparison of two definitions

OBJECTIVES: To determine the incidence and outcome of acute respiratory distress syndrome (ARDS) in children by comparing two commonly used definitions: the lung injury score and the American-European Consensus Conference definition. The causes and risk for developing ARDS were also studied. METHODS: Part prospective and retrospective analysis of 8100 consecutive hospital admissions from 1 June 1995 to 1 April 1997. RESULTS: Twenty one patients fulfilled the criteria for ARDS. Both definitions identified the same group of patients. The incidence was 2.8/1000 hospital admissions or 4.2% of paediatric intensive care unit admissions. The main causes were sepsis and pneumonia. Mortality was 13 of 21. Factors predicting death were a high admission paediatric risk of mortality (PRISM) score (30.38 v 18.75) and the presence of multiple organ dysfunction syndrome (92% v 25%). CONCLUSION: Both definitions identified similar groups of patients. The incidence in this population was higher than that reported elsewhere, but mortality and cause were similar to those in developed countries. Poor outcome was associated with sepsis, a high admission PRISM score, and simultaneous occurrence of other organ dysfunction.     

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.     

A comparison of three scoring systems for mortality risk among retrieved intensive care patients.

AIMS: To assess the impact of two paediatric intensive care unit retrieval teams on the performance of three mortality risk scoring systems: pre-ICU PRISM, PIM, and PRISM II. METHODS: A total of 928 critically ill children retrieved for intensive care from district general hospitals in the south east of England (crude mortality 7.8%) were studied. RESULTS: Risk stratification was similar between the two retrieval teams for scores utilising data primarily prior to ICU admission (pre-ICU PRISM, PIM), despite differences in case mix. The fewer variables required for calculation of PIM resulted in complete data collection in 88% of patients, compared to pre-ICU PRISM (24%) and PRISM II (60%). Overall, all scoring systems discriminated well between survival and non-survival (area under receiver operating characteristic curve 0.83-0.87), with no differences between the two hospitals. There was a tendency towards better discrimination in all scores for children compared to infants and neonates, and a poor discrimination for respiratory disease using pre-ICU PRISM and PRISM II but not PIM. All showed suboptimal calibration, primarily as a consequence of mortality over prediction among the medium (10-30%) mortality risk bands. CONCLUSIONS: PIM appears to offer advantages over the other two scores in terms of being less affected by the retrieval process and easier to collect. Recalibration of all scoring systems is needed.     

A comparison of three scoring systems for mortality risk among retrieved intensive care patients

Aims: To assess the impact of two paediatric intensive care unit retrieval teams on the performance of three mortality risk scoring systems: pre-ICU PRISM, PIM, and PRISM II. Methods: A total of 928 critically ill children retrieved for intensive care from district general hospitals in the south east of England (crude mortality 7.8%) were studied. Results: Risk stratification was similar between the two retrieval teams for scores utilising data primarily prior to ICU admission (pre-ICU PRISM, PIM), despite differences in case mix. The fewer variables required for calculation of PIM resulted in complete data collection in 88% of patients, compared to pre-ICU PRISM (24%) and PRISM II (60%). Overall, all scoring systems discriminated well between survival and non-survival (area under receiver operating characteristic curve 0.83–0.87), with no differences between the two hospitals. There was a tendency towards better discrimination in all scores for children compared to infants and neonates, and a poor discrimination for respiratory disease using pre-ICU PRISM and PRISM II but not PIM. All showed suboptimal calibration, primarily as a consequence of mortality over prediction among the medium (10–30%) mortality risk bands. Conclusions: PIM appears to offer advantages over the other two scores in terms of being less affected by the retrieval process and easier to collect. Recalibration of all scoring systems is needed.     

Identifying futility in a paediatric critical care setting: a prospective observational study.

AIMS: To determine the extent of futile care provided to critically ill children admitted to a paediatric intensive care setting. METHODS: Prospective evaluation of consecutive admissions to a 20 bedded multidisciplinary paediatric intensive care unit of a North London teaching hospital over a nine month period. Three previously defined criteria for futility were used: (1) imminent demise futility (those with a mortality risk greater than 90% using the Paediatric Risk of Mortality (PRISM II) score); (2) lethal condition futility (those with conditions incompatible with long term survival); and (3) qualitative futility (those with unacceptable quality of life and high morbidity). RESULTS: A total of 662 children accounting for 3409 patient bed days were studied. Thirty four patients fulfilled at least one of the criteria for futility, and used a total of 104 bed days (3%). Only 33 (0.9%) bed days were used by patients with mortality risk greater than 90%, 60 (1.8%) by patients with poor long term prognosis, and 16 (0.5%) by those with poor quality of life. Nineteen of 34 patients died; withdrawal of treatment was the mode of death in 15 (79%). CONCLUSIONS: Cost containment initiatives focusing on futility in the paediatric intensive care unit setting are unlikely to be successful as only relatively small amounts of resources were used in providing futile care. Paediatricians are recognising futility early and may have taken ethically appropriate measures to limit care that is futile.     

Mortality in severe meningococcal disease.

AIM: To evaluate mortality of critically ill children admitted with meningococcal disease. METHODS: Prospective study of all children admitted to a regional paediatric intensive care unit (PICU) between January 1995 and March 1998 with meningococcal disease. Outcome measures were actual overall mortality, predicted mortality (by PRISM), and standardised mortality ratio. RESULTS: A total of 123 children were admitted with meningococcal disease. There was an overall PICU mortality of 11 children (8.9%). The total mortality predicted by PRISM was 24.9. The standardised mortality ratio (SMR) was 0.44. Results were compared with those from four previously published meningococcal PICU studies (USA, Australia, UK, Netherlands) in which PRISM scores were calculated. The overall PICU mortality and SMR were lower than those in the previously published studies. CONCLUSION: Compared with older studies and calibrating for disease severity, this study found a decrease in the mortality of critically ill children with meningococcal disease.     

Incidence of acute respiratory distress syndrome: a comparison of two definitions

OBJECTIVES—To determine the incidence and outcome of acute respiratory distress syndrome (ARDS) in children by comparing two commonly used definitions: the lung injury score and the American-European Consensus Conference definition. The causes and risk for developing ARDS were also studied.METHODS—Part prospective and retrospective analysis of 8100 consecutive hospital admissions from 1 June 1995 to 1 April 1997.RESULTS—Twenty one patients fulfilled the criteria for ARDS. Both definitions identified the same group of patients. The incidence was 2.8/1000 hospital admissions or 4.2% of paediatric intensive care unit admissions. The main causes were sepsis and pneumonia. Mortality was 13 of 21. Factors predicting death were a high admission paediatric risk of mortality (PRISM) score (30.38 v 18.75) and the presence of multiple organ dysfunction syndrome (92% v 25%).CONCLUSION—Both definitions identified similar groups of patients. The incidence in this population was higher than that reported elsewhere, but mortality and cause were similar to those in developed countries. Poor outcome was associated with sepsis, a high admission PRISM score, and simultaneous occurrence of other organ dysfunction.     

Mortality in severe meningococcal disease

AIM—To evaluate mortality of critically ill children admitted with meningococcal disease.METHODS—Prospective study of all children admitted to a regional paediatric intensive care unit (PICU) between January 1995 and March 1998 with meningococcal disease. Outcome measures were actual overall mortality, predicted mortality (by PRISM), and standardised mortality ratio.RESULTS—A total of 123 children were admitted with meningococcal disease. There was an overall PICU mortality of 11 children (8.9%). The total mortality predicted by PRISM was 24.9. The standardised mortality ratio (SMR) was 0.44. Results were compared with those from four previously published meningococcal PICU studies (USA, Australia, UK, Netherlands) in which PRISM scores were calculated. The overall PICU mortality and SMR were lower than those in the previously published studies.CONCLUSION—Compared with older studies and calibrating for disease severity, this study found a decrease in the mortality of critically ill children with meningococcal disease.     

Variation in pediatric intensive care therapies and outcomes by race, gender, and insurance status.

CONTEXT: The differential allocation of medical resources to adult patients according to characteristics such as race, gender, and insurance status raises the serious concern that such issues apply to critically ill children as well. OBJECTIVE: This study examined whether medical resources and outcomes for children admitted to pediatric intensive care units differed according to race, gender, or insurance status. DESIGN: An observational analysis was conducted with use of prospectively collected data from a multicenter cohort. Data were collected on 5,749 consecutive admissions for children from three pediatric intensive care units located in large urban children's hospitals. PARTICIPANTS: Children aged 相似文献   

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.     

Evaluation of the Paediatric Index of Mortality in children managed on adult intensive care units.

OBJECTIVE: To evaluate the performance of the Paediatric Index of Mortality (PIM) in children cared for in adult intensive care units (ICUs) in district general hospitals in the South West Region of England. DESIGN AND SETTING: An observational survey of all children admitted to adult ICUs in 15 district general hospitals between November 2000 and August 2002. For comparison, data were also collected from the regional paediatric ICUs between November 2000 and March 2002. RESULTS: Data were collected from 374 children admitted to adult ICUs and 850 children admitted to the regional paediatric ICU. There were significant differences in the patient characteristics between the two groups. In the adult ICU paediatric population, PIM discriminated well between death and survival (Az ROC = 0.96 (95% confidence interval, 0.93 to 0.99)) and calibrated well across deciles of risk (goodness of fit chi2 = 4.55 (8 df), p = 0.8). CONCLUSIONS: PIM performs well as a risk adjustment method in children whose entire care remains in the adult ICU of a district general hospital. This is important should the Paediatric Intensive Care Audit Network (PICAnet) decide to extend its data collection beyond paediatric intensive care units to other units caring for critically ill children.     

The pediatric risk of mortality score in infants and children with fulminant liver failure

The pediatric risk of mortality (PRISM) score as a severity scoring system has never been assessed in infants and children with fulminant liver failure (FLF). A retrospective case study of 109 infants and children admitted in a 22-bed pediatric and neonatal intensive care unit of a tertiary university hospital, National Referral Center for Pediatric Liver Transplantation, from March 1986 to August 1997 was carried out. PRISM score was not significantly different within etiologic FLF categories, or between infants and children. However, PRISM score (mean +/- SD) showed significant difference (p = 0.001) between the 27 patients who spontaneously recovered with supportive care (8.8 +/- 5.0) and 82 patients who underwent emergency liver transplantation (ELT) or those who died before (14.9 +/- 7.7). PRISM score-based probability of mortality was underestimated when compared with observed mortality. A death probability higher than 20% had a 24% sensitivity and 95% specificity for severe outcome. Reciever operating characteristic curve for PRISM score showed elevated discriminative power (Az = 0.91) for discerning children with severe outcome from those who spontaneously recovered with supportive care. A PRISM score more than 10 showed an odds ratio of 2.69 for predicting severe outcome (95% CI: 1.11-6.55; p = 0.038). In conclusion, the PRISM score is an accurate means of severity assessment in pediatric FLF. However, PRISM score-based mortality was of low predictive value.     

Prospective evaluation of the Paediatric Risk of Mortality (PRISM) score.

The performance of the admission day Paediatric Risk of Mortality (PRISM) score for outcome prediction was assessed prospectively in 270 consecutive admissions, aged 3 days to 18.6 years, to a paediatric intensive care unit. Using a cut off of r = 0.00 (expected mortality = 50%), the overall sensitivity (correct prediction of death) was 48% while specificity (correct prediction of survival) was 99%, comparable with the original validation data of the score in the USA. Outcome prediction was most accurate when the stay in the paediatric intensive care unit was between one and four days. Sensitivity was appreciably lower for operative patients (17%) compared with non-operative patients (71%) because of a failure to predict deaths after cardiac surgery. The sensitivity (41%) and specificity (99%) using five variables (systolic blood pressure, Glasgow coma scale, carbon dioxide tension, and serum bicarbonate and serum calcium concentrations) was similar to that using all 14 variables. Six variable ranges related differently with non-survival compared with the score. It is concluded that the performance of the PRISM score is institution independent and good for short stay patients. It underpredicts deaths after cardiac surgery. Only five variables may be needed for satisfactory outcome prediction. Some of the variables need reweighting for paediatric intensive care units in the UK.     

Evaluation of the Paediatric Index of Mortality in children managed on adult intensive care units

Objective: To evaluate the performance of the Paediatric Index of Mortality (PIM) in children cared for in adult intensive care units (ICUs) in district general hospitals in the South West Region of England. Design and setting: An observational survey of all children admitted to adult ICUs in 15 district general hospitals between November 2000 and August 2002. For comparison, data were also collected from the regional paediatric ICUs between November 2000 and March 2002. Results: Data were collected from 374 children admitted to adult ICUs and 850 children admitted to the regional paediatric ICU. There were significant differences in the patient characteristics between the two groups. In the adult ICU paediatric population, PIM discriminated well between death and survival (Az ROC = 0.96 (95% confidence interval, 0.93 to 0.99)) and calibrated well across deciles of risk (goodness of fit χ² = 4.55 (8 df), p = 0.8). Conclusions: PIM performs well as a risk adjustment method in children whose entire care remains in the adult ICU of a district general hospital. This is important should the Paediatric Intensive Care Audit Network (PICAnet) decide to extend its data collection beyond paediatric intensive care units to other units caring for critically ill children.     

Reliability of PRISM and PIM scores in paediatric intensive care

Aims: To assess the reliability of mortality risk assessment using the Paediatric Risk of Mortality (PRISM) score and the Paediatric Index of Mortality (PIM) in daily practice. Methods: Twenty seven physicians from eight tertiary paediatric intensive care units (PICUs) were asked to assess the severity of illness of 10 representative patients using the PRISM and PIM scores. Physicians were divided into three levels of experience: intensivists (>3 years PICU experience, n = 12), PICU fellows (6–30 months of PICU experience, n = 6), and residents (<6 months PICU experience, n = 9). This represents all large PICUs and about half of the paediatric intensivists and PICU fellows working in the Netherlands. Results: Individual scores and predicted mortality risks for each patient varied widely. For PRISM scores the average intraclass correlation (ICC) was 0.51 (range 0.32–0.78), and the average kappa score 0.6 (range 0.28–0.87). For PIM scores the average ICC was 0.18 (range 0.08–0.46) and the average kappa score 0.53 (range 0.32–0.88). This variability occurred in both experienced and inexperienced physicians. The percentage of exact agreement ranged from 30% to 82% for PRISM scores and from 28 to 84% for PIM scores. Conclusion: In daily practice severity of illness scoring using the PRISM and PIM risk adjustment systems is associated with wide variability. These differences could not be explained by the physician''s level of experience. Reliable assessment of PRISM and PIM scores requires rigorous specific training and strict adherence to guidelines. Consequently, assessment should probably be performed by a limited number of well trained professionals.     

Reliability of PRISM and PIM scores in paediatric intensive care.

AIMS: To assess the reliability of mortality risk assessment using the Paediatric Risk of Mortality (PRISM) score and the Paediatric Index of Mortality (PIM) in daily practice. METHODS: Twenty seven physicians from eight tertiary paediatric intensive care units (PICUs) were asked to assess the severity of illness of 10 representative patients using the PRISM and PIM scores. Physicians were divided into three levels of experience: intensivists (>3 years PICU experience, n = 12), PICU fellows (6-30 months of PICU experience, n = 6), and residents (<6 months PICU experience, n = 9). This represents all large PICUs and about half of the paediatric intensivists and PICU fellows working in the Netherlands. RESULTS: Individual scores and predicted mortality risks for each patient varied widely. For PRISM scores the average intraclass correlation (ICC) was 0.51 (range 0.32-0.78), and the average kappa score 0.6 (range 0.28-0.87). For PIM scores the average ICC was 0.18 (range 0.08-0.46) and the average kappa score 0.53 (range 0.32-0.88). This variability occurred in both experienced and inexperienced physicians. The percentage of exact agreement ranged from 30% to 82% for PRISM scores and from 28 to 84% for PIM scores. CONCLUSION: In daily practice severity of illness scoring using the PRISM and PIM risk adjustment systems is associated with wide variability. These differences could not be explained by the physician's level of experience. Reliable assessment of PRISM and PIM scores requires rigorous specific training and strict adherence to guidelines. Consequently, assessment should probably be performed by a limited number of well trained professionals.     

Demographic profile and outcome analysis of a tertiary level pediatric intensive care unit

Objective : To study the profile and outcome of children admitted to a tertiary level pediatric intensive care unit (PICU) in India.Methods : Prospective study of patient demographics, PRISM III scores, diagnoses, treatment, morbidity and mortality of all PICU admissions.Results : 948 children were admitted to the PICU. Mean age was 41.48 months. Male to female ratio was 2.95:1. Mean PRISM III score on admission was 18.50. Diagnoses included respiratory (19.7%), cardiac (9.7%), neurological (17.9%), infectious (12.5%), trauma (11.7%), other surgical (8.8%).196 children (20.68%) required mechanical ventilation. Average duration of ventilation was 6.39 days. 27 children (30.7 children /1000 admissions) had acute respiratory distress syndrome. Gross mortality was 6.7% (59 patients). PRISMIII adjusted mortality was directly proportional to PRISMIII scores. 49.5% of nonsurvivors had multiorgan failure. Average length of PICU stay was 4.52 +/−2.6 days. Complications commonly encountered Were atelectasis (6.37%), accidental extubation (2%), and pneumothorax (0.9%). Incidence of nosocomial infections was 16.86%.Conclusion : Our data appears to be similar with regards to PRISMIII scores and adjusted mortality, length of the PICU stay, and duration of ventilation, to previously published western data. Multiorgan failure remains a major cause of death. As expected, Dengue and malaria were common. Incidence of nosocomial infections was somewhat high. Interestingly, more boys got admitted to the PICU as compared to girls. Clearly more studies are required to assess the overall outcomes of critically ill children in India     

No resuscitation orders and withdrawal of therapy in French paediatric intensive care units

Objective: To determine the incidence of different modes of death in French paediatric intensive care units and to compare patients' characteristics, including a severity of illness score (Paediatric Risk of Mortality: PRISM score) and prior health status (Paediatric Overall Performance Category scale), according to the mode of death. Design: A 4-month prospective cohort study. Setting: Nine French multidisciplinary paediatric intensive care units. Patients: All patients who died in PICUs, except premature babies. Main results: Among 712 admissions, 13% patients died. Brain death was declared in 20%, failure of cardiopulmonary resuscitation occurred in 26%, do-not-resuscitate status was identified in 27%, and withdrawal of supportive therapy was noted in 27%. The PRISM score and the baseline Paediatric Overall Performance Category were not different between the four groups. Brain-dead patients were older than those in whom a do-not-resuscitate order and withdrawal of therapy were made (median age 81 vs 7 and 4 months). Conclusions: Decisions to limit or to withdraw supportive care were made for a majority of patients dying in French paediatric intensive care units. Chronic health evaluation and severity of illness index are not sufficient to describe dead-patient populations.