Clinical characteristics of hospitalized and home isolated COVID-19 patients with type 1 diabetes.

Diabetes Metab Syndr

Department of Endocrinology and Diabetes, Diabetes Treatment Center, Prince Sultan Military Medical City, Riyadh, Saudi Arabia. Electronic address:

Published: January 2021

Background And Aims: To elucidate the clinical features of COVID-19 patients with type 1 diabetes (T1D) under hospitalization and home isolation conditions.

Method: This retrospective study was conducted among 32 patients with COVID-19 and T1D, who sought treatment at the Prince Sultan Military Medical City, Riyadh, Saudi Arabia between May 01, 2020 and July 30, 2020. Patients data were extracted from electronic medical records.

Results: Of the total of 32 COVID-19 patients with T1D, 21.9% required hospitalization, while 78.1% underwent home isolation. Among the study population, 9.4% (3/32) were reported to have hypertension, 21.9% (7/32) had chronic pulmonary disease (CPD), 18.8% (6/32) had thyroid disorders, and 18.8% (6/32) had the celiac disease. Of the 32 studied patients, 68.8% (22/32) of them were reported as normal, while 28.1% (9/32) had chronic kidney disease (CKD) II and 3.1% (1/32) had end-stage renal failure. The most common symptoms observed among the hospitalized patients were nausea and vomiting (71.4%; 5/7), followed by fever (57.1%; 4/7), cough (42.8%; 3/7), sore throat (42.8%; 3/7), abdominal pain (42.8%; 3/7) and dyspnea (42.%; 3/7). The most common reasons for hospitalization were diabetic ketoacidosis (71.4%; 5/7) followed by bacterial pneumonia (14.3%; 1/7), fever (14.3%; 1/7), sore throat (14.3%; 1/7), severe hyperglycemia (14.3%; 1/7) and COVID-19 pneumonia (14.3%; 1/7). Except the severity of COVID-19 (p = 0.0001), none of the demographic and clinical parameters indicated statistically significant differences between patients requiring hospitalization and home isolation.

Conclusion: Majority of the COVID-19 patients with T1D recovered with conservative treatment at home. Diabetic ketoacidosis was the most common reason for hospitalization.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481862PMC
http://dx.doi.org/10.1016/j.dsx.2020.09.013DOI Listing

Publication Analysis

Top Keywords

143% 1/7
20
covid-19 patients
16
428% 3/7
12
patients
9
patients type
8
type diabetes
8
patients t1d
8
188% 6/32
8
714% 5/7
8
sore throat
8

Similar Publications

Introduction: Treatment-resistant depression (TRD) is related to disproportionate unemployment and productivity burden in the USA. The current study describes real-world mental health (MH)-related disability days and costs of patients with TRD initiated on esketamine nasal spray or conventional therapies in the USA.

Methods: Adults with TRD were selected from Merative™ MarketScan Commercial database (from January 2016 to January 2023) and classified into four cohorts (esketamine, ECT [electroconvulsive therapy], TMS [transcranial magnetic stimulation], and SGA [second-generation antipsychotics] augmentation) based on therapy initiated (index date) on/after 5 March 2019 (esketamine approval date for TRD).

View Article and Find Full Text PDF

Background: Despite providing valuable staging and prognostic information, the therapeutic benefit of pelvic lymph node dissection (PLND) remains uncertain. We sought to assess the effect of extended PLND (ePLND) on the biochemical recurrence (BCR) of patients with National Comprehensive Cancer Net (NCCN) high- or very high-risk prostate cancer treated via robot-assisted radical prostatectomy (RARP).

Methods: We used a multi-institutional database (six centers) to assess 989 patients who underwent RARP from 2014 to 2022 with or without ePLND, among which 699 patients underwent BCR analysis.

View Article and Find Full Text PDF

Scapular morphological attributes show promise as prognostic indicators of retear following rotator cuff repair. Current evaluation techniques using single-slice magnetic-resonance imaging (MRI) are, however, prone to error, while more accurate computed tomography (CT)-based three-dimensional techniques, are limited by cost and radiation exposure. In this study we propose deep learning-based methods that enable automatic scapular morphological analysis from diagnostic MRI despite the anisotropic resolution and reduced field of view, compared to CT.

View Article and Find Full Text PDF

Objective: The superior transseptal approach to mitral valve surgery offers improved exposure compared with left atriotomy; however, concerns remain regarding postoperative arrhythmias and pacemaker placement. This study investigates intraoperative parameters and postoperative outcomes in these approaches.

Methods: Retrospective review of 259 adults undergoing isolated mitral valve repair or replacement over a 10-year period was performed.

View Article and Find Full Text PDF

Machine learning of endoscopy images to identify, classify, and segment sinonasal masses.

Int Forum Allergy Rhinol

January 2025

Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.

Background: We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance.

Methods: A convolutional neural network-based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024. Images were classified into four groups: normal endoscopy, nasal polyps, benign, and malignant tumors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!