Early versus late discharge after transcatheter aortic valve replacement and readmissions for permanent pacemaker implantation.

OBJECTIVE: To examine the rate of readmission for permanent pacemaker (PPM) implantation with early versus late discharge after transcatheter aortic valve replacement (TAVR). BACKGROUND: There is a current trend toward early discharge after TAVR. However, paucity of data exists on the impact of such practice on readmissions for PPM implantation. METHODS: The Nationwide Readmission Database 2016-2018 was queried for all hospitalizations where patients underwent TAVR. Hospitalizations were stratified into early (Days 0 and 1) versus late (≥Day 2) discharge groups. Observations in which PPM was required in the index admission were excluded. Multivariable regression analyses involving patient- and hospital-related variables were utilized. The primary outcome was 90-day readmission for PPM implantation. RESULTS: The final analysis included 68,482 TAVR hospitalizations, 20,261 (29.6%) with early versus 48,221 (70.4%) with late discharge. Early discharge after TAVR increased over the study period (16.2% in 2016 vs. 37.9% in 2018, Ptrend < 0.01). Nevertheless, 90-day readmission for PPM implantation remained stable (1.8% in 2016 vs. 2.0% in 2018, Ptrend = 0.32). The 90-day readmission rate for PPM implantation (2.0% vs. 1.8%; adjusted odds ratio: 1.15; 95% confidence interval: 0.95-1.39; p = 0.15) and median time-to-readmission (5 days [interquartile range, IQR 3-9] vs. 5 days [IQR 3-14], p = 0.92) were similar with early versus late discharge. Similar rates were observed regardless of whether readmission was elective versus not. Early discharge was associated with lower hospitalization cost ($39,990 ± $13,681 vs. $46,750 ± $18,218, p < 0.01) compared with late discharge. CONCLUSION: In patients who did not require PPM during the index TAVR hospitalization, the rate of readmission for PPM implantation was similar with early versus late discharge.

Association of early discharge with increased likelihood of hospital readmission in first four weeks for vaginally delivered neonates.

AIM: The main aim was to determine whether hospital readmission rates by 28 days of age are elevated with early discharge (ED) in Finland. We sought to identify the causes and predictors of ED, readmission rates, admissions to the intensive care unit (ICU) and death. METHODS: The data of 333,321 infants were retrieved from nationwide registers. Vaginally delivered single infants at gestational ages (GAs) of ≥37+0 , born in 2008-2015 and treated in any maternity ward in Finland, were included. ED was defined as discharge on the day of birth or after one night stay on the maternity ward. RESULTS: During the study period, the ED and hospital readmission rates increased. Low-risk infants and those born in high population-density areas were more likely to be discharged early. ED predicted hospital readmission but not ICU admission or death. The most common reason for readmission was jaundice, followed by infection. ED seemed not to predict severe cardiologic problems. Rather than ED, being born at 38+0 -38+6  weeks' GA significantly predicted ICU admission or death. CONCLUSION: Early discharge seems to be associated with increased hospital readmission. Birth at 38+0 -38+6  weeks' GA was a significant predictor of ICU admission or death, as opposed to early discharged infants.

Time to diagnosis of acute complications after cardiovascular implantable electronic device insertion and optimal timing of discharge within the first 24 hours.

BACKGROUND: More than 3 million cardiovascular implantable electronic devices (CIEDs) are implanted annually. There are minimal data regarding the timing of diagnosis of acute complications after implantation. It remains unclear whether patients can be safely discharged less than 24 hours postimplantation. OBJECTIVE: The purpose of this study was to determine the precise timing of acute complication diagnosis after CIED implantation and optimal timing for same-day discharge. METHODS: A retrospective cohort analysis of adults 18 years or older who underwent CIED implantation at a large urban quaternary care medical center between June 1, 2015, and March 30, 2020, was performed. Standard of care included overnight observation and chest radiography 6 and 24 hours postprocedure. Medical records were reviewed for the timing of diagnosis of acute complications. Acute complications included pneumothorax, hemothorax, pericardial effusion, lead dislodgment, and implant site hematoma requiring surgical intervention. RESULTS: A total of 2421 patients underwent implantation. Pericardial effusion or cardiac tamponade was diagnosed in 13 patients (0.53%), pneumothorax or hemothorax in 19 patients (0.78%), lead dislodgment in 11 patients (0.45%), and hematomas requiring surgical intervention in 5 patients (0.2%). Of the 48 acute complications, 43 (90%) occurred either within 6 hours or more than 24 hours after the procedure. Only 3 acute complications identified between 6 and 24 hours required intervention during the index hospitalization (0.12% of all cases). CONCLUSION: Most acute complications are diagnosed either within the first 6 hours or more than 24 hours after implantation. With rare exception, patients can be considered for discharge after 6 hours of appropriate monitoring.

Land cover change explains the increasing discharge of the Paraná River.

Over the past 40 years, the discharge in South America's Paraná River basin has increased despite no evidence of significant rainfall increases in the basin. In this analysis, we show that the observed multi-decadal increase in discharge can be explained by concomitant changes in land cover that have occurred within the basin during this period. Our analysis also indicates that the peak discharge timing may have shifted concurrently from January/February in the 1970s to March in more recent decades. While land-use effect dominantly alters the long-term temporal dynamics of the river discharge over multi-decades, the change in the seasonality of the discharge can be attributable to the combined effect of the land-use and climate variability. This study suggests that the mean annual discharge is likely to change in the other South American River basins where land transformation is currently taking place, and the shift of the month of peak discharge needs to be taken into consideration to forecast the hydropower generation under changing climate and land conversion.

Variabilidade do risco do tempo de permanência ajustado para lactentes de muito baixo peso ao nascer entre centros da Neocosur South American Network / Center variability in risk of adjusted length of stay for very low birth weight infants in the Neocosur South American Network

OBJETIVOS: Desenvolver um modelo de predição para o tempo de permanência hospitalar (TPH) em lactentes de muito baixo peso ao nascer (MBPN) e comparar esse resultado entre 20 centros de uma rede neonatal, visto que o TPH é utilizado como uma medida da qualidade da assistência em lactentes de MBPN. MÉTODOS: Utilizamos dados coletados prospectivamente de 7.599 lactentes com peso ao nascer entre 500 e 1.500 g no período entre os anos de 2001 a 2008. O modelo de regressão de Cox foi empregado para desenvolver dois modelos de predição: um modelo prévio com dados do nascimento e outro posterior, que acrescenta morbidades relevantes dos primeiros 30 dias de vida. RESULTADOS: A mediana do TPH estimado e ajustado a partir do nascimento foi de 59 dias; 28 dias depois do tempo de sobrevida de 30 dias. Houve uma alta correlação entre os modelos (r = 0,92). O TPH esperado e o TPH observado variaram bastante entre os centros, mesmo depois de correção para as morbidades relevantes após 30 dias. O TPH mediano (variação: 45-70 dias) e a idade concepcional na alta hospitalar (variação: 36,4-39,9 semanas) refletem uma variabilidade alta entre centros. CONCLUSÃO: Um modelo simples, com fatores apresentados no nascimento, pode predizer o TPH de um lactente de MBPN em uma rede neonatal. Observou-se uma variabilidade nos TPHs considerável entre unidades de terapia intensiva neonatal. Especulamos que os resultados sejam provenientes das diferenças entre as práticas dos centros.

OBJECTIVES: To develop a prediction model for hospital length of stay (LOS) in very low birth weight (VLBW) infants and to compare this outcome among 20 centers within a neonatal network. METHODS: Data from 7,599 infants with birth weights of 500-1,500 g born between the years 2001-2008 were prospectively collected. The Cox regression model was employed to develop two prediction models: an early model based upon variables present at birth, and a late one that adds relevant morbidities for the first 30 days of life. RESULTS: Median adjusted estimated LOS from birth was 59 days ‒ 28 days after 30-day point of survival. There was a high correlation between models (r = 0.92). Expected/observed LOS varied widely among centers, even after correction for relevant morbidity after 30 days. Median observed LOS (range: 45-70 days), and postmenstrual age at discharge (range: 36.4-39.9 weeks) reflect high inter-center variability. CONCLUSION: A simple model, with factors present at birth, can predict a VLBW infant's LOS in a neonatal network. Significant variability in LOS was observed among neonatal intensive care units. We speculate that the results originate in differences in inter-center practices.