Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of pre-existing comorbidity. METHODS: To conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using pre-specified search strategies. Further searches were conducted using the reference list of the selected studies, renowned preprint servers (eg, medRxiv, bioRxiv, SSRN), and relevant journals' websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs non-survivor counts or hazard/odds of deaths or survivors with types of pre-existing comorbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Egger's regression test. Trim and Fill method was used if there any publication bias was found. RESULTS: A total of 41 studies included in this study comprised of 27 670 samples. The most common pre-existing comorbidities in COVID-19 patients were hypertension (39.5%), cardiovascular disease (12.4%), and diabetes (25.2%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (odds ratio (OR) = 3.42, 95% confidence interval (CI) = 2.86-4.09), immune and metabolic disorders (OR = 2.46, 95% CI = 2.03-2.85), respiratory diseases (OR = 1.94, 95% CI = 1.72-2.19), cerebrovascular diseases (OR = 4.12, 95% CI = 3.04-5.58), any types of cancers (OR = 2.22, 95% CI = 1.63-3.03), renal (OR = 3.02, 95% CI = 2.60-3.51), and liver diseases (OR = 2.35, 95% CI = 1.50-3.69). CONCLUSIONS: This study provides evidence that COVID-19 patients with pre-existing comorbidities had a higher likelihood of death. These findings could potentially help health care providers to sort out the most susceptible COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19.

Spinal cord compression as initial presentation of metastatic occult follicular thyroid carcinoma.

Metastatic tumors are the most common tumors of the spine, accounting for 98% of all spine lesions. But spinal cord compression as the initial presentation of metastatic occult follicular carcinoma without any thyroid enlargement is unusual and relatively rare. This report describes a 35-years-old female patient presenting with paraplegia and urinary incontinence for the last two months. She had no thyroid enlargement; no thyroid related symptoms and her biochemical thyroid profile was normal. Magnetic resonance imaging (MRI) of spine shows a huge mass compressing the spinal cord at D11-D12 involving both the spinal and paraspinal areas. The patient was treated by surgery and radioiodine ablation as the histopathology showed metastatic follicular thyroid carcinoma. This case was reported because of the rarity of the disease. Early diagnosis and initiation of the treatment should promise a good prognosis for a patient with metastatic spinal cord compression.