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1.
Ann Thorac Surg ; 110(4): 1396-1403, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-32114048

RESUMO

BACKGROUND: Postoperative length of stay (LOS) is an important quality metric and is known to vary widely across hospitals after congenital heart surgery. Whether this variability is explained by factors associated with the intensive care unit (ICU) or acute care unit (ACU) remains unclear. We evaluated the relationship between ICU and ACU LOS and the impact of ACU characteristics on postoperative LOS. METHODS: Hospitalizations for congenital heart surgery within the Pediatric Cardiac Critical Care Consortium (PC4) registry (August 2014 to February 2018) were included. Models were developed for ICU, ACU, and postoperative LOS by adjusting for differences in case-mix across hospitals. PC4 hospitals participating in the Pediatric Acute Care Cardiology Collaborative (PAC3) were also surveyed on ACU organizational factors and practice patterns. RESULTS: Overall, 19,674 hospitalizations across 27 hospitals were included. There was significant variation in ICU and ACU LOS. Postperative LOS appeared to be most closely related to ICU LOS; 75% (6 of 8) of hospitals with shorter than expected postoperative LOS also had shorter than expected ICU LOS. A clear relationship between postoperative and ACU LOS was not observed. Hospitals with an ACU able to provide higher-acuity care as indexed according to the PAC3 survey were more likely to have shorter postoperative LOS (P < .01). CONCLUSIONS: For hospitals that achieve shorter than expected postoperative LOS after congenital heart surgery, ICU LOS appears to be the primary driver. Higher-acuity resources in the ACU may be an important factor facilitating earlier transfer from the ICU. These data are key to informing quality improvement initiatives geared toward reducing postoperative LOS.


Assuntos
Cuidados Críticos , Cardiopatias Congênitas/cirurgia , Unidades de Terapia Intensiva , Tempo de Internação , Cuidados Pós-Operatórios , Adolescente , Criança , Pré-Escolar , Grupos Diagnósticos Relacionados , Feminino , Cardiopatias Congênitas/mortalidade , Mortalidade Hospitalar , Humanos , Lactente , Recém-Nascido , Masculino , Melhoria de Qualidade , Estudos Retrospectivos , Adulto Jovem
2.
Pediatr Cardiol ; 40(4): 744-752, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-30710164

RESUMO

Prolonged pleural drainage is a common complication in patients after Fontan palliation and is associated with short- and long- term morbidities. Among many potential etiologies, prolonged drainage has an inflammatory component, but there are no descriptions of cytokines in Fontan pleural drainage to date. This study aimed to examine the inflammatory make-up of Fontan pleural drainage. This prospective age-range-matched cohort study recruited 25 patients undergoing Fontan procedure and 15 bi-ventricular patients undergoing cardiopulmonary bypass (CPB). Chest tube samples were taken on postoperative day (POD) 1-4, 7, and 10. Cytokines were measured using Bio-Plex Assays. Univariate comparisons were made in patient characteristics and cytokine levels. Median age was 3.7 y (IQR 2.8-3.9) for controls and 2.5 y (IQR 2.1-2.9) in Fontan patients (p = 0.02). Median drainage duration and daily volume was higher in Fontan patients (both p < 0.001). Inflammatory cytokines (IL-17A, IFN-y, MIP-1ß, and TNF-α) were higher in Fontan patients than controls (all p < 0.02). There was an increase in pro-inflammatory cytokines (IL-8, MIP-1ß, and TNF-α) from POD1 to the last chest tube day (LCD) in Fontan patients (all p < 0.0001) and a decrease in the anti-inflammatory cytokine IL-10 (p = 0.001). There was no difference in cytokine concentration from POD1 to LCD among controls. There was a significant association with the cytokine concentration of TNF-α on POD1 and duration of chest tube drainage (p < 0.05). Inflammatory cytokine levels in the pleural fluid of Fontan patients are higher compared to bi-ventricular controls and rise over time where controls do not. This suggests ongoing localized inflammation that is not a result of CPB alone and may be an important contributor to pleural drainage in patients after the Fontan procedure.


Assuntos
Técnica de Fontan/efeitos adversos , Interleucinas/análise , Derrame Pleural/metabolismo , Complicações Pós-Operatórias/metabolismo , Ponte Cardiopulmonar/efeitos adversos , Estudos de Casos e Controles , Quimiocina CCL3/análise , Tubos Torácicos , Pré-Escolar , Citocinas , Drenagem , Feminino , Humanos , Tempo de Internação , Masculino , Proteínas Quimioatraentes de Monócitos/análise , Derrame Pleural/etiologia , Derrame Pleural/fisiopatologia , Complicações Pós-Operatórias/etiologia , Complicações Pós-Operatórias/fisiopatologia , Período Pós-Operatório , Estudos Prospectivos , Estudos Retrospectivos , Resultado do Tratamento , Fator de Necrose Tumoral alfa/análise
3.
Pediatr Crit Care Med ; 20(5): 450-456, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-30807544

RESUMO

OBJECTIVES: Many hospitals aim to extubate children early after cardiac surgery, yet it remains unclear how this practice associates with extubation failure. We evaluated adjusted extubation failure rates and duration of postoperative mechanical ventilation across hospitals and assessed cardiac ICU organizational factors associated with extubation failure. DESIGN: Secondary analysis of the Pediatric Cardiac Critical Care Consortium clinical registry. SETTING: Pediatric Cardiac Critical Care Consortium cardiac ICUs. PATIENTS: Patients with qualifying index surgical procedures from August 2014 to June 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We modeled hospital-level adjusted extubation failure rates using multivariable logistic regression. A previously validated Pediatric Cardiac Critical Care Consortium model was used to calculate adjusted postoperative mechanical ventilation. Observed-to-expected ratios for both metrics were derived for each hospital to assess performance. Hierarchical logistic regression was used to assess the association between cardiac ICU factors and extubation failure. Overall, 16,052 surgical hospitalizations were analyzed. Predictors of extubation failure (p < 0.05 in final case-mix adjustment model) included younger age, underweight, greater surgical complexity, airway anomaly, chromosomal anomaly/syndrome, longer cardiopulmonary bypass time, and other preoperative comorbidities. Three hospitals were better-than-expected outliers for extubation failure (95% CI around observed-to-expected < 1), and three hospitals were worse-than-expected (95% CI around observed-to-expected > 1). Two hospitals were better-than-expected outliers for both extubation failure and postoperative mechanical ventilation, and three were worse-than-expected for both. No hospital was an outlier in opposite directions. Greater nursing hours per patient day and percent nursing staff with critical care certification were associated with lower odds of extubation failure. Cardiac ICU factors such as fewer inexperienced nurses, greater percent critical care trained attendings, cardiac ICU-dedicated respiratory therapists, and fewer patients per cardiac ICU attending were not associated with lower odds of extubation failure. CONCLUSIONS: We saw no evidence that hospitals trade higher extubation failure rates for shorter duration of postoperative mechanical ventilation after pediatric cardiac surgery. Increasing specialized cardiac ICU nursing hours per patient day may achieve better extubation outcomes and mitigate the impact of inexperienced nurses.


Assuntos
Extubação/efeitos adversos , Procedimentos Cirúrgicos Cardíacos/estatística & dados numéricos , Respiração Artificial/efeitos adversos , Extubação/estatística & dados numéricos , Procedimentos Cirúrgicos Cardíacos/enfermagem , Criança , Feminino , Hospitais/estatística & dados numéricos , Humanos , Lactente , Recém-Nascido , Masculino , Recursos Humanos de Enfermagem Hospitalar/estatística & dados numéricos , Avaliação de Resultados em Cuidados de Saúde/métodos , Avaliação de Resultados em Cuidados de Saúde/estatística & dados numéricos , Período Pós-Operatório , Sistema de Registros , Respiração Artificial/estatística & dados numéricos , Fatores de Tempo
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