RESUMEN
BACKGROUND: Identifying prognosticators/predictors of COVID-19 severity is the principal focus for early prediction and effective management of the disease in a time-bound and cost-effective manner. We aimed to evaluate COVID-19 severity-dependent alteration in inflammatory and coagulopathy biomarkers. METHODS: A hospital-dependent retrospective observational study (total: n = 377; male, n = 213; and female, n = 164 participants) was undertaken. COVID-19 exposure was assessed by performing real-time PCR on nasopharyngeal (NP) swabs. Descriptive and inferential statistics were applied for both continuous and categorical variables using Rstudio-version-4.0.2. Pearson correlation and regression were executed with a cut-off of p < 0.05 for evaluating significance. Data representation by R-packages and ggplot2. RESULTS: A significant variation in the mean ± SD (highly-sever (HS)/moderately severe (MS)) of CRP (HS/MS: 102.4 ± 22.9/21.3 ± 6.9, p-value < 0.001), D-dimer (HS/MS: 661.1 ± 80.6/348.7 ± 42.9, p-value < 0.001), and ferritin (HS/MS: 875.8 ± 126.8/593.4 ± 67.3, p-value < 0.001) were observed. Thrombocytopenia, high PT, and PTT exhibited an association with the HS individuals (p < 0.001). CRP was correlated with neutrophil (r = 0.77), ferritin (r = 0.74), and WBC (r = 0.8). D-dimer correlated with platelets (r = -0.82), PT (r = 0.22), and PTT (r = 0.37). The adjusted odds ratios (Ad-OR) of CRP, ferritin, D-dimer, platelet, PT, and PTT for HS compared to MS were 1.30 (95% CI -1.137, 1.50; p < 0.001), 1.048 (95% CI -1.03, 1.066; p < 0.001), 1.3 (95% CI -1.24, 1.49, p > 0.05), -0.813 (95% CI -0.734, 0.899, p < 0.001), 1.347 (95% CI -1.15, 1.57, p < 0.001), and 1.234 (95% CI -1.16, 1.314, p < 0.001), respectively. CONCLUSION: SARS-CoV-2 caused alterations in vital laboratory parameters and raised ferritin, CRP, and D-dimer presented an association with disease severity at a significant level.
RESUMEN
H. pylori (ubiquitous) and anemia together represent one of the growing health concerns globally. Gastroduodenal sequelae of H. pylori infection are distinguished; however, for the H. pylori infection and its implication in the development of anemia, iron has a significant health impact. We aimed to evaluate H. pylori infection-associated anemia by employing a logistic regression analysis model. A retrospective (case-control) study design-based assessment of the H. pylori associated-anemia. The study area was geo-referenced by QGIS/QuickMapServies. Descriptive and inferential statistical analyses were accomplished using the R-base-R-studio (v-4.0.2)-tidyverse. A p-value < 0.05 was the statistical significance cut-off value. A ggplot2 package was used for data representation and visualization. Mean ± SD age, Hb, MCV, ferritin, and RBC for overall study participants were measured to be 44.0 ± 13.58, 13.84 ± 2.49, 83.02 ± 8.31, 59.42 ± 68.37, and 5.14 ± 0.75, respectively. Decreased levels of Hb (infected vs. uninfected: 13.26 ± 2.92 vs. 14.42 ± 1.75, p < 0.001) ferritin (infected vs. uninfected: 48.11 ± 63.75 vs. 71.17 ± 71.14, p < 0.001), and MCV (infected vs. uninfected: 81.29 ± 9.13 vs. and 84.82 ± 6.93, p < 0.05) were measured to be associated with H. pylori infection when compared with H. pylori uninfected control group. Moreover, the magnitude (prevalence) of anemia (infected vs. uninfected: 78% vs. 21%, p < 0.001), iron deficiency anemia (IDA) (infected vs. uninfected: 63.3% vs. 36.6%, p < 0.001), and microcytic anemia (infected vs. uninfected: 71.6% vs. 46.1%, p < 0.001) were significantly different among the H. pylori-infected participants. The higher likelihood of developing anemia (AOR; 4.98, 95% CI; 3.089-8.308, p < 0.001), IDA (AOR; 3.061, 95% CI; 2.135-4.416, p < 0.001), and microcytic anemia (AOR; 3.289, 95% CI; 2.213-4.949, p < 0.001) by 398%, 206.1%, and 229%, respectively, was associated with H. pylori-infected. We recommend the regular monitoring of hematological parameters and eradication of H. pylori infection to minimize the extra-gastric health consequences of H. pylori infection.
