Serum cystatin C and inflammatory factors related to COVID-19 consequences.

BACKGROUND: Besides impaired respiratory function and immune system, COVID-19 can affect renal function from elevated blood urea nitrogen (BUN) or serum creatinine (sCr) levels to acute kidney injury (AKI) and renal failure. This study aims to investigate the relationship between Cystatin C and other inflammatory factors with the consequences of COVID-19. METHODS: A total of 125 patients with confirmed Covid-19 pneumonia were recruited in this cross-sectional study from March 2021 to May 2022 at Firoozgar educational hospital in Tehran, Iran. Lymphopenia was an absolute lymphocyte count of less than 1.5 × 109/L. AKI was identified as elevated serum Cr concentration or reduced urine output. Pulmonary consequences were evaluated. Mortality was recorded in the hospital one and three months after discharge. The effect of baseline biochemical and inflammatory factors on odds of death was examined. SPSS, version 26, was used for all analyses. P-vale less than 0.05 was considered significant. RESULTS: The highest amount of co-morbidities was attributed to COPD (31%; n = 39), dyslipidemia and hypertension (27%; n = 34 for each) and diabetes (25%; n = 31). The mean baseline cystatin C level was 1.42 ± 0.93 mg/L, baseline creatinine was 1.38 ± 0.86 mg/L, and baseline NLR was 6.17 ± 4.50. Baseline cystatin C level had a direct and highly significant linear relationship with baseline creatinine level of patients (P < 0.001; r: 0.926). ). The average score of the severity of lung involvement was 31.42 ± 10.80. There is a direct and highly significant linear relationship between baseline cystatin C level and lung involvement severity score (r = 0.890, P < 0.001). Cystatin C has a higher diagnostic power in predicting the severity of lung involvement (B = 3.88 ± 1.74, p = 0.026). The mean baseline cystatin C level in patients with AKI was 2.41 ± 1.43 mg/L and significantly higher than patients without AKI (P > 0.001). 34.4% (n = 43) of patients expired in the hospital, and the mean baseline cystatin C level of this group of patients was 1.58 ± 0.90 mg/L which was significantly higher than other patients (1.35 ± 0.94 mg/L, P = 0.002). CONCLUSION: cystatin C and other inflammatory factors such as ferritin, LDH and CRP can help the physician predict the consequences of COVID-19. Timely diagnosis of these factors can help reduce the complications of COVID-19 and better treat this disease. More studies on the consequences of COVID-19 and knowing the related factors will help treat the disease as well as possible.

Angiotensin Converting Enzyme Inhibitors, A Risk Factor of Poor Outcome in Diabetic Patients with COVID-19 Infection

Introduction. Diabetes mellitus and hypertension are described as the most common comorbidities among COVID-19 patients. We investigated the adverse effect of ACEIs in diabetic and nondiabetic patients with COVID-19. Methods. This prospective study consisted of 617 RT-PCR-confirmed COVID-19 inpatients. Demographic and baseline characteristics, underlying comorbid diseases, and antihypertensive drugs were evaluated. Study outcome (in-hospital death) was evaluated with the Kaplan-Meyer method and Cox regression model. Statistical analyses were performed with SPSS software for Windows. P values < .05 were considered significant. Results. Mean ± SD age was 58.49 ± 15.80 (range: 18 to 94) years old. Cox regression analysis revealed that age (adjusted hazard ratio [HR] = 1.04, 95% CI: 1.03 to 1.06), diabetes mellitus (adjusted HR = 2.07, 95% CI: 1.32 to 3.26), immunocompromised patients (adjusted HR = 2.33, 95% CI: 1.29 to 4.21), acute kidney injury (AKI) (adjusted HR = 3.23, 95% CI: 2.01 to 5.19), ICU admission (adjusted HR = 2.48, 95% CI: 1.46 to 4.21), Asthma and COPD (adjusted HR = 2.13, CI:1.6 to 4.28) and ACEI (adjusted HR = 3.08, 95% CI: 1.56 to 6.06), respectively were associated with in-hospital death. Among diabetic patients, ACEI (adjusted HR = 3.51, 95% CI: 1.59 to 7.75), AKI (adjusted HR = 3.32, 95% CI: 1.76 to 6.45) and ICU admission (adjusted HR = 3.64, 95% CI: 1.530 to 8.65) were associated with increased mortality. The Kaplan-Meier survival curve showed a lower survival rate in diabetic patients with ACE inhibitor (adjusted HR = 3.36, 95% CI: 2.25 to 7.71). Conclusion. ACEIs may harm the diabetic patient’s outcome with COVID-19. Further studies can confirm if ACE inhibitors have an adverse effect on COVID-19 diabetic patient’s mortality.

SARS-CoV-2 Molecular and Phylogenetic analysis in COVID-19 patients: A preliminary report from Iran.

BACKGROUND: The aim of the current study was to investigate and track the SARS-CoV-2 in Iranian Coronavirus Disease 2019 (COVID-19) patients using molecular and phylogenetic methods. METHODS: We enrolled seven confirmed cases of COVID-19 patients for the phylogenetic assessment of the SARS-CoV-2 in Iran. The nsp-2, nsp-12, and S genes were amplified using one-step RT-PCR and sequenced using Sanger sequencing method. Popular bioinformatics software were used for sequences alignment and analysis as well as phylogenetic construction. RESULTS: The mean age of the patients in the present study was 60.42 ± 9.94 years and 57.1% (4/7) were male. The results indicated high similarity between Iranian and Chinese strains. We could not find any particular polymorphisms in the assessed regions of the three genes. Phylogenetic trees by neighbor-joining and maximum likelihood method of nsp-2, nsp-12, and S genes showed that there are not any differences between Iranian isolates and those of other countries. CONCLUSION: As a preliminary phylogenetic study in Iranian SARS-CoV-2 isolates, we found that these isolates are closely related to the Chinese and reference sequences. Also, no sensible differences were observed between Iranian isolates and those of other countries. Further investigations are recommended using more comprehensive methods and larger sample sizes.