Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add filters

Database
Language
Document Type
Year range
1.
Clin Case Rep ; 9(7): e04505, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1323863

ABSTRACT

COVID-19 infection can be a possible trigger for peripartum cardiomyopathy. Multidisciplinary teamwork was crucial for the favorable outcome in our patient. Small bowel strangulation is a rare complication post-cesarean section.

2.
CNS Neurosci Ther ; 27(10): 1127-1135, 2021 10.
Article in English | MEDLINE | ID: covidwho-1270830

ABSTRACT

AIMS: To determine if neurologic symptoms at admission can predict adverse outcomes in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: Electronic medical records of 1053 consecutively hospitalized patients with laboratory-confirmed infection of SARS-CoV-2 from one large medical center in the USA were retrospectively analyzed. Univariable and multivariable Cox regression analyses were performed with the calculation of areas under the curve (AUC) and concordance index (C-index). Patients were stratified into subgroups based on the presence of encephalopathy and its severity using survival statistics. In sensitivity analyses, patients with mild/moderate and severe encephalopathy (defined as coma) were separately considered. RESULTS: Of 1053 patients (mean age 52.4 years, 48.0% men [n = 505]), 35.1% (n = 370) had neurologic manifestations at admission, including 10.3% (n = 108) with encephalopathy. Encephalopathy was an independent predictor for death (hazard ratio [HR] 2.617, 95% confidence interval [CI] 1.481-4.625) in multivariable Cox regression. The addition of encephalopathy to multivariable models comprising other predictors for adverse outcomes increased AUCs (mortality: 0.84-0.86, ventilation/ intensive care unit [ICU]: 0.76-0.78) and C-index (mortality: 0.78 to 0.81, ventilation/ICU: 0.85-0.86). In sensitivity analyses, risk stratification survival curves for mortality and ventilation/ICU based on severe encephalopathy (n = 15) versus mild/moderate encephalopathy (n = 93) versus no encephalopathy (n = 945) at admission were discriminative (p < 0.001). CONCLUSIONS: Encephalopathy at admission predicts later progression to death in SARS-CoV-2 infection, which may have important implications for risk stratification in clinical practice.


Subject(s)
Brain Diseases/diagnosis , Brain Diseases/mortality , COVID-19/diagnosis , COVID-19/mortality , Patient Admission/trends , Adult , Aged , Brain Diseases/therapy , COVID-19/therapy , Cohort Studies , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies
3.
J Radiol Nurs ; 39(3): 168-173, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-437043

ABSTRACT

Since the initial reports surfaced of a novel coronavirus causing illness and loss of life in Wuhan, China, COVID-19 has rapidly spread across the globe, infecting millions and leaving hundreds and thousands dead. As hospitals cope with the influx of patients with COVID-19, new challenges have arisen as health-care systems care for patients with COVID-19 while still providing essential emergency care for patients with acute strokes and acute myocardial infarction. Adding to this complex scenario are new reports that patients with COVID-19 are at increased risk of thromboembolic complications including strokes. In this article, we detail our experience caring for acute stroke patients and provide some insight into neurointerventional workflow modifications that have helped us adapt to the COVID-19 era.

SELECTION OF CITATIONS
SEARCH DETAIL