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1.
Pediatr Crit Care Med ; 21(9): 804-810, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32343104

RESUMO

OBJECTIVES: Neurologic complications occur in up to 40% of adult abdominal solid organ transplant recipients and are associated with increased mortality. Comparable pediatric data are sparse. This study describes the occurrence of neurologic and behavioral complications (neurobehavioral complications) in pediatric abdominal solid organ transplant recipients. We examine the association of these complications with length of stay, mortality, and tacrolimus levels. DESIGN: The electronic health record was interrogated for inpatient readmissions of pediatric abdominal solid organ transplant recipients from 2009 to 2017. A computable composite definition of neurobehavioral complication, defined using structured electronic data for neurologic and/or behavioral phenotypes, was created. SETTING: Quaternary children's hospital with an active transplant program. PATIENTS: Pediatric abdominal solid organ transplant recipients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Computable phenotypes demonstrated a specificity 98.7% and sensitivity of 63.0% for identifying neurobehavioral complications. There were 1,542 readmissions among 318 patients, with 65 (20.4%) having at least one admission with a neurobehavioral complication (total 109 admissions). Median time from transplant to admission with neurobehavioral complication was 1.2 years (interquartile range, 0.52-2.28 yr). Compared to encounters without an identified neurobehavioral complication, encounters with a neurobehavioral complication were more likely to experience ICU admission (odds ratio, 3.9; 2.41-6.64; p < 0.001), have longer ICU length of stay (median 10.3 vs 2.2 d; p < 0.001) and hospital length of stay (8.9 vs 4.3 d; p < 0.001), and demonstrate higher maximum tacrolimus level (12.3 vs 9.8 ng/mL; p = 0.001). Patients with a neurobehavioral complication admission were more likely to die (odds ratio, 5.04; 1.49-17.09; p = 0.009). In a multivariable analysis, type of transplant, ICU admission, and tacrolimus levels were independently associated with the presence of a neurobehavioral complication. CONCLUSIONS: Common electronic health record variables can be used to accurately identify neurobehavioral complications in the pediatric abdominal solid organ transplant population. Late neurobehavioral complications are associated with increased hospital resource utilization, mortality, and tacrolimus exposure. Additional studies are required to delineate the relationship between maximum tacrolimus level and neurobehavioral complications to guide therapeutic drug monitoring and dosing.


Assuntos
Transplante de Órgãos , Adulto , Criança , Recursos em Saúde , Hospitalização , Humanos , Razão de Chances , Transplante de Órgãos/efeitos adversos , Estudos Retrospectivos
2.
Pediatr Crit Care Med ; 20(8): e372-e379, 2019 08.
Artigo em Inglês | MEDLINE | ID: mdl-31397827

RESUMO

OBJECTIVES: Develop and test the performance of electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV and electronic version of the Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 scores. DESIGN: Retrospective, single-center cohort derived from structured electronic health record data. SETTING: Large, quaternary PICU at a freestanding, university-affiliated children's hospital. PATIENTS: All encounters with a PICU admission between January 1, 2009, and December 31, 2017, identified using electronic definitions of inpatient encounter. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The main outcome was predictive validity of each score for hospital mortality, assessed as model discrimination and calibration. Discrimination was examined with the area under the receiver operating characteristics curve and the area under the precision-recall curve. Calibration was assessed with the Hosmer-Lemeshow goodness of fit test and calculation of a standardized mortality ratio. Models were recalibrated with new regression coefficients in a training subset of 75% of encounters selected randomly from all years of the cohort and the calibrated models were tested in the remaining 25% of the cohort. Content validity was assessed by examining correlation between electronic versions of the scores and prospectively calculated data (electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV) and an alternative informatics approach (Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 score). The cohort included 21,335 encounters. Correlation coefficients indicated strong agreement between different methods of score calculation. Uncalibrated area under the receiver operating characteristics curves were 0.96 (95% CI, 0.95-0.97) for electronic version of the Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 score and 0.87 (95% CI, 0.85-0.89) for electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV for inpatient mortality. The uncalibrated electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV standardized mortality ratio was 0.63 (0.59-0.66), demonstrating strong agreement with previous, prospective evaluation at the study center. The uncalibrated electronic version of the Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 score standardized mortality ratio was 0.20 (0.18-0.21). All models required recalibrating (all Hosmer-Lemeshow goodness-of-fit, p < 0.001) and subsequently demonstrated acceptable goodness-of-fit when examined in a test subset (n = 5,334) of the cohort. CONCLUSIONS: Electronically derived intensive care acuity scores demonstrate very good to excellent discrimination and can be calibrated to institutional outcomes. This approach can facilitate both performance improvement and research initiatives and may offer a scalable strategy for comparison of interinstitutional PICU outcomes.


Assuntos
Mortalidade Hospitalar , Escores de Disfunção Orgânica , Adolescente , Criança , Pré-Escolar , Registros Eletrônicos de Saúde/estatística & dados numéricos , Humanos , Lactente , Unidades de Terapia Intensiva Pediátrica/estatística & dados numéricos , Valor Preditivo dos Testes , Estudos Retrospectivos , Medição de Risco
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