ABSTRACT
Purpose: The COVID-19 pandemic posed unprecedented demands on health care. This study aimed to characterize COVID-19 inpatients and examine trends and risk factors associated with hospitalization duration, intensive care unit (ICU) admission, and in-hospital mortality. Methods: This retrospective study analyzed patients with SARS-CoV-2 infection hospitalized at an integrated health system between February 2, 2020, and December 12, 2020. Patient characteristics and clinical outcomes were obtained from medical records. Backward stepwise logistic regression analyses were used to identify independent risk factors of ICU admission and in-hospital mortality. Cox proportional hazards models were used to evaluate relationships between ICU admission and in-hospital mortality. Results: Overall, 9647 patients were analyzed. Mean age was 64.6 ± 18 years. A linear decrease was observed for hospitalization duration (0.13 days/week, R2=0.71; P<0.0001), ICU admissions (0.35%/week, R2=0.44; P<0.001), and hospital mortality (0.16%/week, R2=0.31; P<0.01). Bacterial co-infections, male sex, history of chronic lung and heart disease, diabetes, and Hispanic ethnicity were identified as independent predictors of ICU admission (P<0.001). ICU admission and age of ≥65 years were the strongest independent risk factors associated with in-hospital mortality (P<0.001). The in-hospital mortality rate was 8.3% (27.4% in ICU patients, 2.6% in non-ICU patients; P<0.001). Conclusions: Results indicate that, over the pandemic's first 10 months, COVID-19 carried a heavy burden of morbidity and mortality in older patients (>65 years), males, Hispanics, and those with bacterial co-infections and chronic comorbidities. Although disease severity has steadily declined following administration of COVID-19 vaccines along with improved understanding of effective COVID-19 interventions, these study findings reflect a "natural history" for this novel infectious disease in the U.S. Midwest.
ABSTRACT
Background Thyroid nodules are a common medical problem worldwide. This study aims to investigate and elucidate the relationship between thyroid-stimulating hormone (TSH), thyroxine (T4), and triiodothyronine (T3), and malignant thyroid nodules. Methods This prospective cross-sectional study was conducted at a public specialist hospital in Saudi Arabia from February 2020 to February 2021. All thyroid nodules were scanned using ultrasound imaging, and the largest diameter was measured for each and classified according to the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TIRADS) classification system. Thyroid function tests TSH, T3, and T4 were measured. Definitive diagnoses of thyroid nodules were given based on cytology. A one-way analysis of variance (ANOVA) test was used to compare means, and cross-tabulation was used to correlate the variables in the study. Results A total of 222 patients participated in this study; 23.42% were male and 76.57% were females. The mean age was 44.73 ± 13.31 years (range: 18 to 85 years). The percentage of malignancy was 20.6%, 36.3%, and 91.2% in TIRADS 3, TIRADS 4, and TIRADS 5, respectively. A weak positive linear relationship was noted between nodule size and TSH (R2= 0.012). The study demonstrates that TSH increases in malignant nodules more than in benign nodules, while T4 and T3 are decreased in malignant nodules. Conclusion The level of TSH increases in patients with malignant thyroid nodules more than in benign nodules, which can be used as a predictor of malignancy, while T4 and T3 reduced in malignant nodules with an ambiguous relationship.
