RESUMO
OBJECTIVES: To understand national trends in 30-day postoperative readmission following inpatient pediatric tonsillectomy and adenoidectomy. STUDY DESIGN: Retrospective cohort study. SETTING: Nationwide Readmissions Database. METHODS: We used the Nationwide Readmissions Database to identify and analyze 30-day readmissions following inpatient tonsillectomy from 2010 to 2015. Using the International Classification of Disease codes, we identified 66,652 patients and analyzed the incidence, causes, risk factors, and costs of 30-day readmission. RESULTS: Of 66,652 patients who underwent inpatient tonsillectomy, 2660 (4.0%) experienced a readmission. Readmitted patients were more commonly aged <2 years (23.4 vs 10.6%, P = .01) and had a greater burden of comorbidities, including preoperative anemia (3.9 vs 1.3%, P < .001), coagulopathy (3.5 vs 1.4%, P < .001), and neurologic disorders (19.1 vs 6.6%, P < .001). Readmitted patients experienced higher rates of postoperative complications (17.4 vs 9.0%, P < .001) and had a longer length of stay (4.5 vs 2.2 days, P < .001). Index cost of hospitalization was higher among readmitted patients ($14,129 vs $7307, P < .001), and each readmission cost an additional $7576. Postoperative hemorrhage (21.3%) and dehydration (17.7%) were the 2 most common causes for readmission. Independent predictors of readmission included age <3 years, multiple comorbidities, and postoperative neurologic complications. The incidences of tonsillectomies and readmissions declined during the study period, most notably between 2010 and 2012. CONCLUSION: Readmission after inpatient tonsillectomy and adenoidectomy places a substantial financial burden on the health care system. Targeted strategies to improve preoperative assessment and optimize postoperative care may prevent readmission, reduce unnecessary health care expenditures, and improve patient outcomes.
Assuntos
Readmissão do Paciente/estatística & dados numéricos , Tonsilectomia , Fatores Etários , Criança , Pré-Escolar , Comorbidade , Bases de Dados Factuais , Feminino , Humanos , Lactente , Masculino , Readmissão do Paciente/economia , Complicações Pós-Operatórias/epidemiologia , Estudos Retrospectivos , Fatores de Risco , Fatores de Tempo , Estados Unidos/epidemiologiaRESUMO
BACKGROUND: Reducing inpatient readmissions is a national priority for improving healthcare quality and decreasing costs. Previous studies have shown that readmissions after surgical aortic valve replacement are frequent and contribute to increased healthcare costs, yet no studies have analyzed risk factors for readmission. METHODS: The Nationwide Readmissions Database was used to identify adult patients undergoing surgical aortic valve replacement from 2010 to 2015. Incidence, patient characteristics, causes, resource utilization, and predictors of 30-day readmission were determined. International Classification of Diseases codes were used to capture surgical aortic valve replacement. RESULTS: Among 136,051 patients, 18,631 (13.7%) were readmitted within 30 days of discharge. Readmitted patients were more commonly women (47.4% vs 41.6%; P < .001) and were older (70.4 years of age vs 68.3 years of age; P < .001), with higher Elixhauser comorbidity index (5.4 vs 4.8; P < .001), rates of postoperative complications (44.0% vs 37.3%; P < .001), and greater length of stay (10.9 days vs 8.5 days; P < .001). The mean cost of 1 readmission episode was $13,426. On multivariable analysis, significant predictors of readmission were female sex, age greater than 75 years, atrial fibrillation, chronic kidney and liver disease, and lower surgical aortic valve replacement hospital volume. A total of 49.1% of readmissions were related to cardiac causes, with heart failure (13.2%) and arrhythmia (12.5%) being the most common. CONCLUSIONS: Using a national inpatient database, we found readmission after surgical aortic valve replacement to be common and resource-intensive. Enhanced management of comorbidities and targeted postdischarge interventions for patients at high risk of readmission may help decrease healthcare utilization.