Influence of foods and nutrients on COVID-19 recovery: A multivariate analysis of data from 170 countries using a generalized linear model.

BACKGROUND & AIMS: COVID-19 is an emergency public health problem of global importance. This study aimed to investigate the effect of foods and nutrients as complementary approaches on the recovery from COVID-19 in 170 countries, especially considering the complexity of the disease and the current scarcity of active treatments. METHODS: A retrospective study was performed using the Kaggle database, which links the consumption of various foods with recovery from COVID-19 in 170 countries, using multivariate analysis based on a generalized linear model. RESULTS: The results showed that certain foods had a positive effect on recovery from COVID-19: eggs, fish and seafood, fruits, meat, milk, starchy roots, stimulants, vegetable products, nuts, vegetable oil and vegetables. In general, consumption of higher levels of proteins and lipids had a positive effect on COVID-19 recovery, whereas high consumption of alcoholic beverages had a negative effect. In developed countries, where hunger had been eradicated, the effect of food on recovery from COVID-19 had a greater magnitude than in countries with a higher global hunger index (GHI), where there was almost no identifiable effect. CONCLUSION: Several foods had a positive effect on COVID-19 recovery in developed countries, especially food groups with a higher content of lipids, proteins, antioxidants and micronutrients (e.g., selenium and zinc). In countries with extreme poverty (high GHI), foods presented little effect on recovery from COVID-19.

Prognostic Factors, Survival Analyses and the Risk of Second Primary Cancer: A Population-Based Study on Burkitt Lymphoma/Leukemia.

Burkitt lymphoma/leukemia (BL/L) is an aggressive oncohematological disease. This study evaluated the population-based prognosis and survival on BL/L as well as if BL/L behaved as a risk factor for the development of second primary cancers (SPCs) and if other first tumors behaved as risk factors for the occurrence of BL/L as an SPC. A retrospective cohort using the Surveillance, Epidemiology and End Results (SEER) Program (2008-2016) was performed. Kaplan-Meier, time-dependent covariate Cox regression and Poisson regression models were conducted. Overall, 3094 patients were included (median, 45 years; IQR, 22-62). The estimated overall survival was 65.4 months (95% CI, 63.6-67.3). Significantly more deaths occurred for older patients, black race, disease at an advanced stage, patients without chemotherapy/surgery and patients who underwent radiotherapy. Hodgkin lymphomas (nodal) (RR, 7.6 (3.9-15.0; p < 0.001)), Kaposi sarcomas (34.0 (16.8-68.9; p < 0.001)), liver tumors (3.4 (1.2-9.3; p = 0.020)) and trachea, mediastinum and other respiratory cancers (15.8 (2.2-113.9; p = 0.006)) behaved as risk factors for the occurrence of BL/L as an SPC. BL/L was a risk factor for the occurrence of SPCs as acute myeloid leukemias (4.6 (2.1-10.4; p < 0.001)), Hodgkin lymphomas (extranodal) (74.3 (10.0-549.8; p < 0.001)) and Kaposi sarcomas (35.1 (12.1-101.4; p < 0.001)). These results may assist the development of diagnostic and clinical recommendations for BL/L.

Systematic review with meta-analysis of the accuracy of diagnostic tests for COVID-19.

OBJECTIVE: To collate the evidence on the accuracy parameters of all available diagnostic methods for detecting SARS-CoV-2. METHODS: A systematic review with meta-analysis was performed. Searches were conducted in Pubmed and Scopus (April 2020). Studies reporting data on sensitivity or specificity of diagnostic tests for COVID-19 using any human biological sample were included. RESULTS: Sixteen studies were evaluated. Meta-analysis showed that computed tomography has high sensitivity (91.9% [89.8%-93.7%]), but low specificity (25.1% [21.0%-29.5%]). The combination of IgM and IgG antibodies demonstrated promising results for both parameters (84.5% [82.2%-86.6%]; 91.6% [86.0%-95.4%], respectively). For RT-PCR tests, rectal stools/swab, urine, and plasma were less sensitive while sputum (97.2% [90.3%-99.7%]) presented higher sensitivity for detecting the virus. CONCLUSIONS: RT-PCR remains the gold standard for the diagnosis of COVID-19 in sputum samples. However, the combination of different diagnostic tests is highly recommended to achieve adequate sensitivity and specificity.

Five-year survival analysis and predictors of death in HIV-positive serology patients attending the Military Hospital of Nampula, Mozambique.

An observational retrospective study was conducted over a 5-year period to assess survival and predictors of death in people with HIV-positive serology undergoing antiretroviral treatment with first-line regimens at the Military Hospital of Nampula, Mozambique. We collected data from 332 patient records. Kaplan-Meier boundary product estimator, log-rank, Gehan-Breslow, Tarone-Ware, time-dependent Cox models and estimates of hazard ratios (HR), with 95% confidence interval (CI) were calculated. Meantime survival for females and males was 54.8 months [95% CI 50.32-55.40] and 49.7 months [95% CI 45.89-53.53], respectively. Cox regressions indicated higher death rates significantly or potentially associated with: male sex (HR = 1.3; [95% CI 0.7-2.39]); suspected diagnosis reported only by the physician (HR = 3.6; [95% CI 1.8-7.4]); disease stages III (HR=1.2 [95% CI 0.3-3.6]) or IV (HR 1.4 [95% CI 0.4-5.8]); first TCD4+ lymphocyte count lower than 350 cells per ml (HR = 3.2; [95% CI 0.9-11.2]) or between 350-500 cells per ml (HR = 1.3; [95% CI 0.3-5.8]); or do not present cells count (HR = 3.6; [95% CI 1.2-10.2]). The above variables were significant for HIV prognosis and as predictors of death and should be considered in the clinical care of these patients.