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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.
RESUMO
OBJECTIVES: H. pylori-associated dyslipidemia has been reported to be a major risk factor for atherosclerosis and coronary heart diseases. We aimed to investigate the association of the H. pylori infection with dyslipidemia. METHODS: A retrospective case-control study was undertaken to evaluate H. pylori-associated dyslipidemia, where H. pylori-positive individuals were treated as the case group (n = 260) while H. pylori-negative individuals were considered as the control group (n = 250). The mean ± SD of the age of the patients included (n = 510) was 44.01 ± 13.58 years. Study subjects with a total cholesterol level of >5.17 mmol/L and/or a triglyceride level of >1.69 mmol/L and/or an LDL-C level of >2.59 mmol/L and/or an HDL-C level of <1 mmol/L in males and/or an HDL-C level of <1.3 mmol/L in females were defined as dyslipidemia. Descriptive (mean, standard deviation, median, and IQR) and inferential (t-test, chi-square test, and logistic regression) statistical analyses were undertaken using the R-base/R-studio (v-4.0.2)/tidyverse package. Univariate and bivariate logistic regressions were executed to calculate the crude and adjusted odds ratio along with the p-value. A p-value of <0.05 was the cut-off for statistical significance. We used ggplot2 for data visualization. RESULTS: The differences in overall mean ± SD (H. pylori positive vs. negative) of the cholesterol (5.22 ± 1.0 vs. 5.49 ± 0.85, p < 0.01), triglyceride (1.66 ± 0.75 vs. 1.29 ± 0.71, p < 0.001), LDL-C (3.43 ± 0.74 vs. 3.26 ± 0.81, p < 0.05), and HDL-C (1.15 ± 0.30 vs. 1.30 ± 0.25, p < 0.001) levels were statistically significant. The cholesterol and LDL-C levels in ages >60, age = 30-60, in females, and LDL-C levels in males were not significantly different for the H. pylori-positive and -negative groups. The proportion (H. pylori positive vs. negative) of hypercholesterolemia (190/59.9% vs. 127/40% p < 0.01), hypertriglyceridemia (136/68% vs. 64/32% p < 0.001), high LDL-cholesterolemia levels (234/53% vs. 201/46% p < 0.01), and low HDL-cholesterolemia levels (149/71% vs. 60/28.7% p < 0.01) were statistically significant. The odds of having hypercholesterolemia (AOR: 2.64, 95%CI: 1.824-3.848, p < 0.001), hypertriglyceridemia (AOR: 3.24, 95%CI: 2.227-4.757, p < 0.001), an increased LDL-C level (AOR: 2.174, 95%CI: 1.309-3.684, p < 0.01), and a decreased HDL-C level (AOR: 4.2, 95%CI: 2.937-6.321, p < 0.001) were 2.64, 3.24, 2.17, and 4.2 times higher in the H. pylori-infected individuals as compared with the H. pylori-uninfected group. CONCLUSION: Our results demonstrate that an enhanced risk of dyslipidemia is associated with the H. pylori infection, which can aggrandize the atherosclerosis process. The evaluation of temporal variation in the lipid profile in H. pylori-infected individuals is recommended for the effective management of H. pylori-infected patients.
RESUMO
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.
