Day-to-day variation in sleep duration is associated with increased all-cause mortality.

STUDY OBJECTIVES: There is a paucity of data on the association between day-to-day variation in sleep pattern and all-cause mortality. We aimed to investigate whether day-to-day variation in sleep duration and onset of sleep are associated with cardiovascular and all-cause mortality. METHODS: We used data belonging to 388 unique patients from the Midlife in the United States 2 Biomarker study (2004-2009). Information on sleep onset, duration, and sleep-wake cycles was collected for 7 consecutive days using the Actiwatch device. Sleep irregularity was assessed using mean and standard deviations in sleep duration and time of onset of sleep over 7 days. Cox proportional regression analysis and the Fine and Gray subdistribution method were used with all-cause and cardiovascular mortality, respectively. RESULTS: Over a median of 8.6 years of follow-up, 37 patients died, including 10 deaths resulting from cardiovascular causes. There was no statistically significant increase in cardiovascular mortality with variation in sleep duration in the highest vs the lowest tertile (hazard ratio, 4.00; 0.45-35.48; P = .21). However, increased all-cause mortality was seen in the highest vs the lowest tertile (hazard ratio, 3.99; 1.33-11.94; P = .01). Multivariable model adjusting for confounders had higher all-cause mortality with increased sleep duration variation in the highest vs the lowest tertile: hazard ratio, 4.85; 1.52-15.49; P < .01). CONCLUSIONS: Day-to-day variation in sleep duration is associated with increased all-cause mortality but not cardiovascular mortality after adjusting for mean sleep duration, inflammation, diabetes, age, body mass index, renal function, and blood pressure. Irregularity in the onset of sleep is not associated with all-cause mortality or cardiovascular mortality. CITATION: Katamreddy A, Uppal D, Ramani G, et al. Day-to-day variation in sleep duration is associated with increased all-cause mortality. J Clin Sleep Med. 2022;18(3):921-926.

Characteristics and Outcomes of In-Hospital Cardiac Arrest Events During the COVID-19 Pandemic: A Single-Center Experience From a New York City Public Hospital.

BACKGROUND: Patients hospitalized for severe coronavirus disease 2019 (COVID-19) infection are at risk for in-hospital cardiac arrest (IHCA). It is unknown whether certain characteristics of cardiac arrest care and outcomes of IHCAs during the COVID-19 pandemic differed compared with a pre-COVID-19 period. METHODS: All patients who experienced an IHCA at our hospital from March 1, 2020 through May 15, 2020, during the peak of the COVID-19 pandemic, and those who had an IHCA from January 1, 2019 to December 31, 2019 were identified. All patient data were extracted from our hospital's Get With The Guidelines-Resuscitation registry, a prospective hospital-based archive of IHCA data. Baseline characteristics of patients, interventions, and overall outcomes of IHCAs during the COVID-19 pandemic were compared with IHCAs in 2019, before the COVID-19 pandemic. RESULTS: There were 125 IHCAs during a 2.5-month period at our hospital during the peak of the COVID-19 pandemic compared with 117 IHCAs in all of 2019. IHCAs during the COVID-19 pandemic occurred more often on general medicine wards than in intensive care units (46% versus 33%; 19% versus 60% in 2019; P<0.001), were overall shorter in duration (median time of 11 minutes [8.5-26.5] versus 15 minutes [7.0-20.0], P=0.001), led to fewer endotracheal intubations (52% versus 85%, P<0.001), and had overall worse survival rates (3% versus 13%; P=0.007) compared with IHCAs before the COVID-19 pandemic. CONCLUSIONS: Patients who experienced an IHCA during the COVID-19 pandemic had overall worse survival compared with those who had an IHCA before the COVID-19 pandemic. Our findings highlight important differences between these 2 time periods. Further study is needed on cardiac arrest care in patients with COVID-19.

Does diffusion restriction changes in magnetic resonance imaging predict neurological outcome in neonatal seizures?

BACKGROUND: Neonatal seizures are a common manifestation of brain dysfunction. Neonatal magnetic resonance imaging (MRI) has rapidly become the study of choice for the evaluation of central nervous systems disorders in newborns. According to a study conducted in Wilhelmina Children's Hospital, University Medical Center Utrecht, diffusion Restriction (DR) changes in the MRI is a good indicator of cell dysfunction (reversible or irreversible) within one week of insult. OBJECTIVES: The main aim of this study was to find the association of DR changes in MRI of brain for neonatal seizures with long term neurodevelopment outcome. METHODS: This is a retrospective observational study conducted in Sri Ramachandra University. Retrospective data was collected for the time period of January 2010 to December 2011 from medical records department (MRD) for patient data, neonatal intensive care unit and reports from PACS for MRI images and the Karthikeyan child development unit for their developmental follow up reports. RESULTS: Comparison of composite score for various domains with DR changes was done with a t-test and comparison of babies with developmental delay and DR changes with Chi-square test. MRI DR changes with developmental outcome in different domains namely cognition, language-receptive/expressive, fine and gross motor was studied. There is no statistical significance among those who have DR changes and with those who do not have DR changes. CONCLUSION: Though diffusion restriction changes in MRI may not predict adverse long term neuro developmental outcome, they can be of use with regards to individual etiological profile as in stroke. Larger group study and long term follow up is required to substantiate these findings.