Neurological complications of COVID19 during March 2020 at LCMC health university medical center: Dataset
| العنوان: | Neurological complications of COVID19 during March 2020 at LCMC health university medical center: Dataset |
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| المؤلفون: | Michael Y. Soliman, Delphi Barua, Marine Isakadze, Deidre J. Devier, David Chachkhiani, Nicole R. Villemarette-Pittman, Jesus Lovera |
| المصدر: | Data in Brief, Vol 35, Iss, Pp 106944-(2021) Data in Brief |
| بيانات النشر: | Elsevier, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | medicine.medical_specialty, Neurology, Science (General), Computer applications to medicine. Medical informatics, R858-859.7, Logistic regression, 03 medical and health sciences, Q1-390, 0302 clinical medicine, medicine, Medical history, Mortality, Stroke, 030304 developmental biology, Data Article, African Americans, 0303 health sciences, Multidisciplinary, Proportional hazards model, business.industry, Medical record, Altered mental status, COVID-19, Length of Stay, medicine.disease, Institutional review board, Mortality. African Americans, Neurological complications, Emergency medicine, Electronic data, business, 030217 neurology & neurosurgery |
| الوصف: | We reviewed the electronic medical records (EMR) of patients hospitalized during the peak of the pandemic, March 1st through March 31st, to document the type and frequency of neurological problems seen in patients with COVID-19 at presentation to the emergency room. Secondary aims were to determine: 1) the frequency of neurological complaints during the hospital stay; 2) whether the presence of any neurological complaint at presentation or any of the individual types of neurological complaints at admission predicted three separate outcomes: death, length of hospital stay, or the need for intubation; and 3) if the presence of any neurological complaint or any of the individual types of neurological complaints developed during hospital stay predicted the previous three outcomes. Setting The Louisiana Health Sciences Center – New Orleans Institutional Review Board and the University Medical Center Clinical Research Review Committee approved the study protocol. Data acquisition We reviewed the electronic medical records (EMR) of patients hospitalized during March (March 1st through March 31st) 2020 at the University Medical Center New Orleans (UMCNO), who tested positive for SARS-CoV-2 during the same hospitalization. The EMR team generated a list of 257 patients admitted for COVID-19. We excluded seven patients because of a negative COVID-19 test result or incomplete medical record documentation. Three neurology residents (DC, MS, DB) reviewed the EMR in detail to capture the relevant medical history, clinical course, and laboratory test results and abstracted data into an electronic data collection spreadsheet. We recorded the presentation or development of the following neurological complaints: headache, syncope, altered mental status, seizure, status epilepticus, and ischemic or hemorrhagic stroke. Statistical analysis We used "R" (statistics software) and Microsoft Excel to generate summary tables. To analyse hospital length of stay or death, we fitted a competing risks proportional hazards model for time to discharge or death using the crr() function in R version 4.0.0. The competing risks model allowed the analysis of hospital stay, taking into account that the censoring of cases due to death was not random. To predict the likelihood of intubation, we used the glm() function in R to fit a logistic regression model. For each model, we determined baseline demographic variables predictive of the outcomes and generated adjusted models. For variables with less than five cases per cell, we reported the p-values for Fisher's Exact Test. The analyses and results are published in: Chachkhiani, David et al. " Neurological complications in a predominantly African American population of COVID-19 predict worse outcomes during hospitalization." Clinical Neurology and Neurosurgery (in press). These data will be useful for researchers trying to build larger datasets regarding COVID19 neurological complications for metanalysis or to answer other questions requiring larger sample sizes. |
| اللغة: | English |
| تدمد: | 2352-3409 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d9e941adea1d7c2e00bdd4ce7f84379 http://www.sciencedirect.com/science/article/pii/S2352340921002286 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....8d9e941adea1d7c2e00bdd4ce7f84379 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23523409 |
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