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.     

Circumstances of dying in hospitalized children

Conditions of dying in a tertiary children's hospital were assessed in a retrospective cohort study. Non-survivors, excluding newborns and emergency room patients, were allocated to four groups: brain death (BD), failed cardiopulmonary resuscitation (failed CPR), death following a do-not-resuscitate (DNR) order and death following withholding or withdrawal of therapy (W/W). In a 4-year period 190 (1.3%) of 14,903 admitted patients died. Of these 134 (71%) died on the paediatric intensive care unit, 42 (22%) on the ward and 14 (7%) in the operating room. W/W was found in 75 (39%), failed CPR in 57 (30%), BD in 32 (17%), and death following a DNR order in 26 (14%). Justifications for restrictions of treatment (W/W or DNR) were imminent death in 41 (41%), lack of future relational potential in 13 (13%) and excessive burden of disease in 47 (47%). In non-survivors analgesics and sedatives were frequently used to relieve suffering in the terminal phase. General principles for the approach of terminally ill children in whom death may become an option instead of a fate are discussed. Conclusion In the majority of children dying in hospital, death occurred following restrictions of life-sustaining treatment, comprising do-not-resuscitate or other forms of withholding or withdrawal of therapy. Received: 24 December 1997 / Accepted in revised form: 30 May 1998     

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.     

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.     

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.     

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.     

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.     

Characteristics and outcome of long-stay patients in a paediatric intensive care unit: a case-control study

Aim: To identify differences in baseline characteristics and outcome between long-stay and other patients admitted to a paediatric intensive care unit with the same diagnosis. Methods: Over a period of 6 y, data of paediatric intensive care unit patients with a length of stay of 30 or more days (long-stay patients) and aged 1 to 18 y were retrospectively collected. Long-stay patients were matched with the next patient who was admitted to the paediatric intensive care unit with the same diagnosis. Evaluated characteristics on admission included: age, sex, presence of chronic morbidity, functional status, Pediatric Risk of Mortality score, presence of multiple organ system failure and complications during admission. Outcome (survival and functional status) was assessed 2.5 to 8.5 y after admission. Results: Of 19 long-stay patients identified, 15 could be matched with a control patient admitted with the same diagnosis. No significant difference in baseline characteristics was found between long-stay patients and the matched controls. The mean number of complications per long-stay patient was 2.9, compared to 1.2 per control patient (p = 0.02). Infection accounted for half of the complications. Mortality rate in long-stay patients was not higher than in the matched controls (36.8 vs 26.7%, p = 0.54). Paediatric intensive care unit stay did not change functional status in either long-stay patients or controls.

Conclusion: Long-stay patients in the paediatric intensive care unit had more complications, but baseline characteristics, mortality and functional outcome were not different from a control group admitted with the same diagnosis.     

Correlation between severity of disease and reimbursement of costs in neonatal and paediatric intensive care patients

Abstract Aim: The aim of the present study was to investigate the correlation between neonatal, paediatric and adult disease severity scores and reimbursement by health insurances. Methods: The setting was a university hospital's neonatal intensive care unit (NICU) and paediatric intensive care unit (PICU). We performed a prospective study of all patients admitted over the 3-month study period. Data collected included five scoring systems to predict mortality or to quantify disease severity (Paediatric Index of Mortality [PIM], Paediatric Risk of Mortality [PRISM], Simplified Acute Physiological Score [SAPS], Score for Neonatal Acute Physiology [SNAP], Therapeutic Intervention Scoring System [TISS]) on a daily basis, the total reimbursement as calculated by the grouper according to the German diagnosis-related groups (DRG) system, age of the patient, length of stay (LOS), International Classification of Diseases (ICD)-10 and DRG diagnosis. Our intention was to determine the correlation between different neonatal, paediatric and adult scores (PIM, PRISM III, SAPS-II, SNAP, Core-10-TISS), and reimbursement by the health insurance on the basis of the German DRG system in its 2005 and 2007 version. Results: No positive correlation between any score applied and reimbursement by the health insurance could be identified. Reimbursement was positively correlated to the length of hospital stay. Positive correlations could also be shown for some of the scores among each other. Conclusion: We conclude that other scoring systems or measures of disease severity urgently need to be established to terminate the chronic underfunding of paediatric intensive care medicine in the developed countries.     

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.     

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.     

Guias de ingreso,alta y triage para las unidades de cuidados intensivos pediátricos en España

A paediatric intensive care unit (PICU) is a separate physical facility or unit specifically designed for the treatment of paediatric patients who, because of the severity of illness or other life-threatening conditions, require comprehensive and continuous inten-sive care by a medical team with special skills in paediatric intensive care medicine. Timely and personal intervention in intensive care reduces mortality, reduces length of stay, and decreases cost of care. With the aim of defending the right of the child to receive the highest attainable standard of health and the facilities for the treatment of illness and rehabilitation, as well as ensuring the quality of care and the safety of critically ill paediatric patients, the Spanish Association of Paediatrics (AEP), Spanish Society of Paediatric Intensive Care (SECIP) and Spanish Society of Critical Care (SEMICYUC) have approved the guidelines for the admission, discharge and triage for Spanish PICUs. By using these guidelines, the performance of Spanish paediatric intensive care units can be optimised and paediatric patients can receive the appropriate level of care for their clinical condition.     

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.     

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.     

The suitability of the Pediatric Index of Mortality (PIM), PIM2, the Pediatric Risk of Mortality (PRISM), and PRISM III for monitoring the quality of pediatric intensive care in Australia and New Zealand.

OBJECTIVE: To compare the performance of the Pediatric Index of Mortality (PIM), PIM2, the Pediatric Risk of Mortality (PRISM), and PRISM III in Australia and New Zealand. DESIGN: A two-phase prospective observational study. Phase 1 assessed the performance of PIM, PRISM, and PRISM III between 1997 and 1999. Phase 2 assessed PIM2 in 2000 and 2001. SETTING: Ten intensive care units in Australia and New Zealand. PATIENTS: Included in the study were 26,966 patients aged <16 yrs; 1,147 patients died in the intensive care unit. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Discrimination between death and survival was assessed by calculating the area under the receiver operating characteristic plot for each model. The areas (95% confidence interval) for PIM, PIM2, PRISM, and PRISM III were 0.89 (0.88-0.90), 0.90 (0.88-0.91), 0.90 (0.89-0.91), and 0.93 (0.92-0.94). The calibration of the models was assessed by comparing the number of observed to predicted deaths in different diagnostic and risk groups. Prediction was best using PIM2 with no difference between observed and expected mortality (standardized mortality ratio [95% confidence interval] 0.97 [0.86-1.05]). PIM, PRISM III, and PRISM all overpredicted death, predicting 116%, 130%, and 189% of observed deaths, respectively. The performance of individual units was compared during phase 1, using PIM, PRISM, and PRISM III. There was agreement between the models in the identification of outlying units; two units performed better than expected and one unit worse than expected for each model. CONCLUSIONS: Of the models tested, PIM2 was the most accurate and had the best fit in different diagnostic and risk groups; therefore, it is the most suitable mortality prediction model to use for monitoring the quality of pediatric intensive care in Australia and New Zealand. More information about the performance of the models in other regions is required before these results can be generalized.     

Pediatric risk of mortality (PRISM) score in meningococcal disease

To assess the pediatric risk of mortality (PRISM) score as a prognostic scoring system in severe meningococcal disease, the files of 53 consecutive patients admitted to a tertiary pediatric intensive care with a clinical diagnosis of meningococcal disease and positive cultures from blood and/or cerebrospinal fluid were analysed. PRISM-score-based expected mortality was compared with observed mortality. Expected mortality in the whole study population was 29% while observed mortality was 19% (P < 0.05). The highest expected and observed mortality was found in septicaemic patients without (documented) meningitis, while meningitis patients without septicaemia had the lowest mortality. All patients with a mortality risk below 18.3% (n = 29) survived whereas all those with a mortality risk of 65% or higher (n = 7) died. Of the 17 patients with a mortality risk between 18.3% and 63.9%, 14 survived and 3 died. The area under the receiver-operating characteristic (ROC) curve was 0.94, which is at least comparable with the best-performing meningococcal-disease-specific scoring systems. Conclusion The PRISM score is a useful generic measure of severity of illness in meningococcal disease and can be used to determine the effectiveness of different treatment strategies. Received: 5 May 1999 / Accepted: 11 January 2000     

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.     

End-of-life practices in patients admitted to pediatric intensive care units in Brazil: A retrospective study

ObjectiveTo determine the prevalence of life support limitation (LSL) in patients who died after at least 24 h of a pediatric intensive care unit (PICU) stay, parent participation and to describe how this type of care is delivered.MethodsRetrospective cohort study in a tertiary PICU at a university hospital in Brazil. All patients aged 1 month to 18 years who died were eligible for inclusion. The exclusion criteria were those brain death and death within 24 h of admission.Results53 patients were included in the study. The prevalence of a LSL report was 45.3%. Out of 24 patients with a report of LSL on their medical records only 1 did not have a do-not-resuscitate order. Half of the patients with a report of LSL had life support withdrawn. The length of their PICU stay, age, presence of parents at the time of death, and severity on admission, calculated by the Pediatric Index of Mortality 2, were higher in patients with a report of LSL. Compared with other historical cohorts, there was a clear increase in the prevalence of LSL and, most importantly, a change in how limitations are carried out, with a high prevalence of parental participation and an increase in withdrawal of life support.ConclusionsLSLs were associated with older and more severely ill patients, with a high prevalence of family participation in this process. The historical comparison showed an increase in LSL and in the withdrawal of life support.