Traumatic stress in parents of children admitted to the pediatric intensive care unit.

OBJECTIVE: To measure the prevalence of parental acute stress disorder (ASD) and posttraumatic stress disorder (PTSD) and to examine the relationship between ASD symptoms and PTSD symptoms in parents of infants and children admitted to the pediatric intensive care unit (PICU). To examine the correlation between parental perceptions of illness severity and objective measures. To assess the association among demographic, situational, and illness factors and the severity of ASD and PTSD. DESIGN: Prospective cohort study. SETTING: Thirty-eight bed PICU at an urban children's hospital. PATIENTS: The parents of 272 children admitted to the PICU for >48 hrs. INTERVENTIONS: ASD symptoms were assessed using the Acute Stress Disorder Scale during the child's admission. PTSD symptoms were assessed using the PTSD Checklist at least 2 months after discharge. The severity of illness was measured using the Pediatric Risk of Mortality (PRISM III) score. MEASUREMENTS AND MAIN RESULTS: Of the 272 parents completing the initial assessment, 87 (32%) met symptom criteria for ASD. Of the 161 parents completing follow-up, 33 (21%) met symptom criteria for PTSD. PTSD symptoms at follow-up were associated with ASD symptoms assessed in the PICU, unexpected admission, parent's degree of worry that the child might die, and the occurrence of another hospital admission or other traumatic event subsequent to the index admission. Neither ASD nor PTSD responses were associated with objective measures of a child's severity of illness (PRISM III score). CONCLUSION: Traumatic stress symptoms are common among parents in the PICU and may persist long after discharge. There is strong support from these data for continued attention to supporting parents both during and after a child's PICU admission.     

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.     

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.     

Outcome of patients requiring tracheostomy in a pediatric intensive care unit

Abstract Background : Although tracheostomy is a commonly performed procedure, there is a lack of studies in the pediatric intensive care unit (PICU) setting that describe its association with patient outcome and especially hospital mortality. Our goal was to evaluate the outcome of patients receiving a tracheostomy, while on mechanical ventilation (MV), in a PICU.
Methods : Records of 260 children were reviewed retrospectively regarding PICU mortality, PICU length of stay (PICU LOS), duration of MV and a cost indicator (weighted hospital days; WHD).
Results : Nineteen patients received tracheostomy (7.3%). The mortality of patients submitted to tracheostomy in the longer term was significantly higher compared to patients who were not (52.6% vs . 27.6%; P  = 0.04) despite having a significantly lower severity of illness at admission (Pediatric Risk of Mortality score – PRISM) (10.9 vs . 13.7; P  < 0.001). The mortality of patients without tracheostomy, however, was significantly higher within 30 days (24.8% vs . 5.2%, P  < 0.001). Tracheostomized patients had significantly higher mean PICU LOS (68 days vs . 8 days; P  < 0.001), duration of MV (62 days vs . 4 days; P  < 0.001) and higher WHD (171.5 vs . 21.5; P  < 0.001).
Conclusion : Contrary to findings in critically ill adult patients, ventilated children receiving a tracheostomy had less favorable outcomes compared with non-tracheostomized patients. In view of the greater use of resources, further studies are needed to confirm and to identify the subgroups of mechanically ventilated patients who will benefit most from this procedure.     

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.     

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.     

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.     

Epidemiology and Outcome of Sepsis in a Tertiary Care PICU of Pakistan

Objective

To determine the epidemiology and outcome of sepsis in children admitted in pediatric intensive care unit (PICU) of a tertiary care hospital.

Methods

Retrospective review of children 1?mo to 14?y old, admitted to the PICU with severe sepsis or septic shock from January 2007 through December 2008 was done. Demographic, clinical and laboratory features of subjects were reviewed. The primary outcome was mortality at the time of discharge from PICU. The independent predictors of mortality were modeled using multiple logistic regression.

Results

In 2?years, 17.3% (133/767) children admitted to the PICU had sepsis. Median age was 18?mo (IQR 6–93?mo), with male: female ratio of 1.6:1. Mean PRISM III score was 9 (±7.8). One third had culture proven infection, majority (20%) having bloodstream infection. The frequency of multi-organ dysfunction syndrome (MODS) was 81% (108/133). The case specific mortality rate of sepsis was 24% (32/133). Multi-organ dysfunction (Adjusted OR 18.0, 95% CI 2.2–144), prism score of >10 (Adjusted OR 1.5, 95% CI 0.6–4.0) and the need for?>?2 inotropes (Adjusted OR 3.5, 95% CI 1.3–9.2) were independently associated with mortality due to sepsis.

Conclusions

The presence of septic shock and MODS is associated with high mortality in the PICU of developing countries.     

The impact of pediatric intensive care unit volume on mortality: a hierarchical instrumental variable analysis.

OBJECTIVE: To evaluate the relation between annual pediatric intensive care unit (PICU) admission volume and mortality. DESIGN: Nonconcurrent cohort design. SETTING: Pediatric patients included in the most currently available research database from the Pediatric Intensive Care Unit Evaluations (PICUEs). PATIENTS: A total of 34,880 consecutive pediatric admissions to a contemporary volunteer sample of 15 U.S. PICUs. MEASUREMENTS AND MAIN RESULTS: We conducted an instrumental variable analysis and adjusted for similarities between patients admitted to different PICUs using mixed-effects, hierarchical techniques. Case mix and severity of illness was adjusted for using patient-level data and the Pediatric Risk of Mortality, version III (PRISM III). On average, admission to higher-volume PICUs was associated with lower severity-adjusted mortality (odds ratio = 0.68 per 100 patient increase in volume; 95% confidence interval: 0.52-0.89) when volume was analyzed as a linear term; however, when PICU volume was analyzed as a quadratic term, we found the lowest severity-adjusted mortality rates among PICUs with annual admission volumes between 992 and 1,491. Furthermore, lower severity-adjusted mortality rates were primarily found among patients with less than a 10% PRISM III predicted risk of mortality. CONCLUSIONS: Although there is an association between lower severity-adjusted mortality among higher volume PICUs, our data suggest that best outcomes are among mid- to large-sized PICUs. These data support minimum annual admission criteria for PICUs but raise the concern that PICUs with very high annual admission volumes may operate beyond an ideal capacity.     

Long-term quality of life of patients treated in paediatric intensive care unit

The changes in long-term quality of life (QOL) of children treated in paediatric intensive care unit (PICU) were investigated in relation to their QOL before critical illness together with the influence of underlying chronic health condition and severity of illness estimated by Paediatric Index of Mortality 2 on the long-term outcome. This study included 189 children treated in PICU and 179 children from outpatient clinics as controls. QOL was evaluated according to the Royal Alexandra Hospital for Children Measure of Function (RAHC MOF). The long-term QOL in 70 % of children treated in PICU was good, although there was a significant diminution of QOL in children treated in PICU in comparison with their preadmission scores and with the children from outpatient clinics who served as controls (p?<?0.001). Severity of illness had a significant impact on children’s QOL (p?=?0.016) 6 months after treatment in PICU. Twenty-four months after discharge, the RAHC MOF score was still decreased in 19 % of children treated in PICU, and in significantly more patients with a chronic health condition (CHC) treated in PICU, than in their peers from outpatient clinics (p?=?0.029). Reduced QOL was significantly more frequent in children with neurodevelopmental disability than in children without CHC 24 months after discharge from PICU (p?=?0.013). Conclusion: Acute illness has a significant impact both on children with and without CHC after treatment in PICU 6 months after discharge. Twenty-four months after discharge, comorbidity was identified as the decisive factor for diminished QOL in children after PICU treatment.     

重症监护室免疫抑制和免疫健全脓毒症患儿28天内死亡因素的病例对照研究

目的评估伴免疫抑制相关基础疾病的儿童重症监护室脓毒症患儿入PICU 28 d内死亡及其危险因素。方法病例对照研究。回顾性收集复旦大学附属儿科医院（我院）因脓毒症/脓毒性休克收入PICU的患儿临床资料,分为免疫抑制组和免疫健全组,考察免疫抑制患儿入PICU 28 d内死亡的危险因素。结果2015年12月1日至2018年12月31日我院PICU出院诊断脓毒症连续病例385例,排除入科后24 h内死亡和PICU获得性脓毒症病例,251例PICU脓毒症/脓毒性休克患儿进入本文分析,免疫抑制组110例 (43.8%),免疫健全组141例。与免疫健全组比较,免疫抑制组以住院转入患儿（70%）为主,PICU维持治疗需求（血管活性药物、有创/无创机械通气）高、24 h PRISM评分高,不明确感染部位比例高,免疫抑制组接受ECMO治疗者全部死亡,持续肾脏代替治疗（CRRT）存活率为17.4%,入PICU第28 d病死率69.1%。免疫健全组和免疫抑制组28 d内存活和死亡患儿比较,除脓毒性休克、有创机械通气、CRRT、PRISM Ⅲ评分、乳酸>2 mmol·L-1比例、PICU住院时间、总住院时间、脱离PICU时间、24 h内放弃治疗、总放弃治疗差异有统计学意义外,应用血管活性药物在免疫抑制组入PICU 28 d内存活和死亡因素比较中差异有统计学意义。多因素COX比例风险模型分析显示,PRISM Ⅲ评分、有创机械通气、乳酸>2 mmol·L-1是免疫抑制组和免疫健全组入PICU 28 d内病死率的共同危险因素,休克是免疫抑制组入PICU 28 d内病死率的危险因素。结论重症监护室脓毒症患儿病死率较高;伴免疫抑制相关基础疾病的脓毒症患儿病死率更高;PRISMⅢ评分、48 h内有创机械通气和入院乳酸值(>2 mmol·L-1)是其预后的重要危险因素。应建立早期预警指标,对免疫抑制患儿进行早期识别,早期干预,可能改善预后。     

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.     

Use of the Pediatric Risk of Mortality Score as predictor of death and serious neurologic damage in children after submersion.

OBJECTIVE: To evaluate the Pediatric Risk of Mortality score (PRISM score) as a tool to evaluate the vital and neurologic prognosis of patients after submersion. METHODS: We conducted a retrospective analysis of the clinical histories of patients admitted to a tertiary pediatric hospital, Hospital Sant Joan de Déu, Barcelona, Spain from December 1977 to December 1999 as a consequence of near-drowning. PRISM score was calculated for each patient with data obtained upon arrival at the hospital. The probability of death was calculated using this score. RESULTS: There were 60 patients, divided into two groups as they were admitted to the Pediatric Intensive Care Unit (PICU group, n = 41) or to the Short Stay Unit (SSU group, n = 19). All patients in the SSU group survived without impairments, with PRISM scores or=24 or with probability of death >or=42% either died or had serious neurologic impairment. One third of patients with PRISM scores between 17 and 23 and/or probability of death between 16 and 42% either presented serious neurologic impairment or died. CONCLUSIONS: PRISM score enables the determination of either absence or presence of serious impairment or death in pediatric patients after submersion, if they present extreme values on this scale. However, in patients with intermediate PRISM scores, it is not possible to establish a reliable prognosis.     

Factors affecting survival in children requiring intensive care after hematopoietic stem cell transplantation. A retrospective single‐center study

Allo‐HSCT is associated with life‐threatening complications. Therefore, a considerable number of patients require admission to a PICU. We evaluated the incidence and outcome of PICU admissions after allo‐HSCT in children, along with the potential factors influencing PICU survival. A retrospective chart review of 668 children who underwent first allo‐HSCT in the Department of Pediatric Hematology/Oncology and BMT in Wroc?aw during years 2005‐2017, particularly focusing on patients admitted to the PICU within 1‐year post‐HSCT. Fifty‐eight (8.7%) patients required 64 admissions to the PICU. Twenty‐four (41.5%) were discharged, and 34 (58.6%) patients died. Among the discharged patients, 6‐month survival was 66.7%. Compared with survivors, death cases were more likely to have required MV (31/34; 91.2% vs. 16/24; 66.7% P = .049), received more aggressive cardiac support (17/34; 50% vs. 2/24; 8.3% P = .002), and had a lower ANC on the last day of their PICU stay (P = .004). Five patients were successfully treated with NIV and survived longer than 6 months post‐discharge. The intensity of cardiac support and ANC on the last day of PICU treatment was independent factors influencing PICU survival. Children admitted to the PICU after allo‐HSCT have a high mortality rate. Mainly those who needed a more aggressive approach and had a lower ANC on the last day of treatment had a greater risk of death. While requiring MV is associated with decreased PICU survival, early implementation of NIV might be considered.     

重症监护室免疫抑制和免疫健全脓毒症患儿28天内死亡因素的病例对照研究

目的评估伴免疫抑制相关基础疾病的儿童重症监护室脓毒症患儿入PICU 28 d内死亡及其危险因素。方法病例对照研究。回顾性收集复旦大学附属儿科医院（我院）因脓毒症/脓毒性休克收入PICU的患儿临床资料，分为免疫抑制组和免疫健全组，考察免疫抑制患儿入PICU 28 d内死亡的危险因素。结果2015年12月1日至2018年12月31日我院PICU出院诊断脓毒症连续病例385例，排除入科后24 h内死亡和PICU获得性脓毒症病例，251例PICU脓毒症/脓毒性休克患儿进入本文分析，免疫抑制组110例 (43.8%)，免疫健全组141例。与免疫健全组比较，免疫抑制组以住院转入患儿（70%）为主，PICU维持治疗需求（血管活性药物、有创/无创机械通气）高、24 h PRISM评分高，不明确感染部位比例高，免疫抑制组接受ECMO治疗者全部死亡，持续肾脏代替治疗（CRRT）存活率为17.4%，入PICU第28 d病死率69.1%。免疫健全组和免疫抑制组28 d内存活和死亡患儿比较，除脓毒性休克、有创机械通气、CRRT、PRISM Ⅲ评分、乳酸>2 mmol·L-1比例、PICU住院时间、总住院时间、脱离PICU时间、24 h内放弃治疗、总放弃治疗差异有统计学意义外，应用血管活性药物在免疫抑制组入PICU 28 d内存活和死亡因素比较中差异有统计学意义。多因素COX比例风险模型分析显示，PRISM Ⅲ评分、有创机械通气、乳酸>2 mmol·L-1是免疫抑制组和免疫健全组入PICU 28 d内病死率的共同危险因素，休克是免疫抑制组入PICU 28 d内病死率的危险因素。结论重症监护室脓毒症患儿病死率较高；伴免疫抑制相关基础疾病的脓毒症患儿病死率更高；PRISMⅢ评分、48 h内有创机械通气和入院乳酸值(>2 mmol·L-1)是其预后的重要危险因素。应建立早期预警指标，对免疫抑制患儿进行早期识别，早期干预，可能改善预后。     

Psychological consequences in pediatric intensive care unit survivors: the neglected outcome

OBJECTIVES: To determine whether Pediatric Intensive Care Unit (PICU) hospitalization results in adverse psychological effects and to identify the contributory factors. SETTING: Level III PICU of a tertiary center. DESIGN: Prospective cohort study. METHODS: Consecutive patients 5 years or older admitted to PICU for at least 48 hours constituted the study population. Controls were age and sex matched children hospitalized in the pediatric wards for at least 48 hours. Severity of illness was assessed by the Pediatric Risk of Mortality (PRISM) score. Level of therapeutic intervention was determined by the Therapeutic Interventions Scoring System (TISS--76 score). Temperament Measurement Schedule was used to assess the premorbid temperament. Psychological assessment was performed using Impact of Event Scale (IES), Birleson Depression Scale and the Self-Esteem Scale. Follow-up evaluation was done one month after discharge. RESULTS: There were 30 children each in the study and control groups. They had comparable pre-morbid temperament as well as scores on the self-esteem and depression scales. Significantly higher proportion of patients in PICU had intrusive thoughts (43%) as compared to controls (6.7%). Development of intrusive thoughts correlated significantly with the degree of intervention. Demographic parameters, nature of the disease, duration of hospitalization and severity of illness did not correlate with the psychological outcome. One month after discharge, scores in both groups were comparable. CONCLUSIONS: Children subjected to therapeutic interventions in the PICU develop transient psychological impairment manifested by experiencing intrusive thoughts that resolve within a month.     

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。     

Cardiovascular risk factors in children after kidney transplantation – From short‐term to long‐term follow‐up

Cardiovascular‐related mortality is 100‐fold higher in pediatric renal transplant recipients than in the age‐matched general population. Seventy‐seven post‐renal transplant children's charts were reviewed for cardiovascular risk factors at two and six months after transplantation (short term) and at two yr after transplantation and the last follow‐up visit (mean 7.14 ± 3.5 yr) (long term). Significant reduction was seen in cardiovascular risk factors prevalence from two months after transplantation to last follow‐up respectively: Hypertension from 52.1% to 14%, hypercholesterolemia from 48.7% to 33%, hypertriglyceridemia from 50% to 12.5%, anemia from 29.6% to 18.3%, hyperparathyroidism from 32% to 18.3% and hyperglycemia from 11.7% to 10%, and left ventricular hypertrophy from 25.8% at short term to 15%. There was an increase in the prevalence of obesity from 1.5% to 3.9% and of CKD 3–5 from 4.75% to 24%. The need for antihypertensive treatment decreased from 54% to 42%, and the percentage of patients controlled by one medication rose from 26% to 34%, whereas the percentage controlled by 2, 3, and 4 medications decreased from 21.9%, 5.5%, and 1.4% to 6%, 2%, and 0. Children after renal transplantation appear to have high rates of cardiovascular risk factors, mainly on short‐term follow‐up.     

Stable long‐term renal function after pediatric liver transplantation

Herlenius G, Hansson S, Krantz M, Olausson M, Kullberg‐Lindh C, Friman S. Stable long‐term renal function after pediatric liver transplantation.
Pediatr Transplantation 2010: 14:409–416. © 2010 John Wiley & Sons A/S. Abstract: Long‐term exposure to calcineurin inhibitors increases the risk of CKD in children after LT. The aims of this study were to study renal function by measuring GFRm before and yearly after LT, to describe the prevalence of CKD (stage III: GFR 30–60 mL/min/1.73 m²) and to investigate if age and underlying liver disease had an impact on long‐term renal function. Thirty‐six patients with a median age of 2.9 years (0.1–16 yr) were studied. Median follow‐up was 6.5 (2–14 yr). GFRm decreased significantly during the first six months post‐transplantation with 23% (p < 0.001). Thereafter renal function stabilized. At six months, 17% (n = 5) of the children presented CKD stage III and at five yr the prevalence of CKD III was 18% in 29 children. However, in 13 children with a 10‐year follow‐up it was 0%. None of the children required renal replacement therapy after LT. When analyzing renal function of those children younger than two yr (n = 14) and older than two yr (n = 17) at the time of transplantation, we found that in both cohorts the filtration rate remained remarkably stable during the five‐yr observational period. However, there was a statistically significant (p < 0.05) difference in the percentual decrease in GFRm between the groups during the first six months after LT 13% and 31%, respectively. Baseline GFRm according to diagnosis did not differ between the groups. During the first six months after LT, patients transplanted for hepatic malignancy (n = 6) and those with metabolic liver disease (n = 4) had a percentage loss of GFRm of 32% and 35%, respectively. The corresponding loss of GFRm in patients with other diseases was 10‐19%. Six months post‐transplantation mean GFRm in the group with malignant liver disease was 65 ± 15 mL/min/1.73 m² and in the group with other diseases (n = 24) 82 ± 17 mL/min/1.73 m² (p < 0.05). At one, three and five yr post‐transplantation there was no longer a statistically significant difference between these cohorts. Our findings suggest that there can be a long‐term recovery of renal function after LT in children.     

儿童重症监护室主动出院患儿的多中心前瞻性队列研究

背景：在中国PICU,患儿主动出院是医生常面对的无奈和棘手的问题。 目的：探讨PICU主动出院患儿死亡与存活的临床特征,并分析影响主动出院后死亡的因素。 设计：多中心前瞻性队列研究。 方法：以2016年8月1日至2017年7月31日华东地区8家儿童专科医院PICU主动出院的连续病例为队列人群,以主动出院后28 d内电话随访的存活和死亡为队列结局终点,采集主动出院患儿人群特征、原因、病种、用于小儿危重病例评分（PCIS）和小儿死亡危险评分（PRISMⅢ）评价的所有参数。采用Logistic风险模型分析主动出院死亡的影响因素。 主要结局指标：主动出院后28 d内病死率。 结果：8家医院PICU共4 952例进入本文分析,住院病死率56%（279/4 059）。主动出院893例（18.1%）中,男518例（58.0%）,女375例。年龄中位数1.4岁;主动出院后28 d内失访3例,死亡550例（61.6%）,存活340例。主动出院病例农村占比高于城市(62.2% vs 37.8%),主动出院后28 d内死亡病例农村占比高于存活病例（65.0% vs 57.8%）,差异均有统计学意义;主动出院病例死亡病因感染占49.2%,病因不明、肿瘤、先天畸形和遗传代谢分别约占10%。主动出院病例死亡［8(3,15)］与存活［3(0,7)］PRISMⅢ评分差异有统计学意义。对主动出院死亡与在院死亡病例的临床特征行单因素分析,差异有统计学意义的变量进入Logistic回归分析,主动出院的农村病例较城市病例死亡风险增加55%（OR=1.554,95%CI：1.112~2.173,P=0.01）、无医疗保险病例较有医疗保险病例死亡风险增加169%（OR=2.686,95%CI：1.910~3.778,P=0.000）;院前有心肺复苏史的患儿出院死亡风险降低53%（OR=0.467,95%CI：0.271~0.802,P=0.006）,PRISMⅢ每降低1分,出院死亡风险降低4%（OR=0.962,95%CI：0.946~0.978,P=0.000）。 结论：中国华东8家医院PICU狭义病死率56%,广义的病死率16.8%（829/4 959）;居住地为农村、无医疗保险增加了主动出院死亡风险。院前有心肺复苏史能降低主动出院的死亡风险。