Changes in Hepatitis C Awareness in Different Disciplines During COVID-19.

BACKGROUND: We aimed to determine the awareness of referring hepatitis C virus patients to the relevant departments and the effect of the pandemic period on this subject. METHODS: A total of 65 743 patients with anti-hepatitis C virus requests before and during the COVID-19 pandemic were retrospectively screened. Anti-hepatitis C virus-positive patients were divided into 5 groups according to age distribution. The distribution of patients with anti-hepatitis C virus positivity was compared according to age groups, before and during COVID-19. Anti-hepatitis C virus-pos- itive patients who were not requested hepatitis C virus RNA were evaluated individually according to the departments, and hepatitis C virus awareness was compared before and during COVID-19. RESULTS: Anti-hepatitis C virus positivity rate was 1.54% before COVID-19; this rate was 2.15% during COVID-19. When the anti-hep- atitis C virus positivity rate was compared in terms of age distribution according to before and during COVID-19, it was observed that there was a statistically significant decrease in the >65 age group in the COVID-19 period (P = .004). It was found that 216 (32%) of the patients who had anti-hepatitis C virus (+) before COVID-19 and 231 (48.1%) of the patients during COVID-19 were not requested hepatitis C virus RNA test (P < .0001). The departments with the highest awareness of hepatitis C virus were gastroenterology, infec- tious diseases, hematology, gynecology and obstetrics, and oncology, while the departments with the lowest hepatitis C virus awareness were ophthalmology, psychiatry, and general surgery. It was found that chronic hepatitis C virus awareness decreased in all departments during COVID-19. CONCLUSION: Hepatitis C virus awareness has decreased in all medical departments despite the physician alert system during COVID-19 and also the rate of anti-hepatitis C virus (+) patients decreased in the group aged >65 years during the pandemic.

Could urinary kidney injury molecule-1 be a good marker in subclinical acute kidney injury in mild to moderate COVID-19 infection?

PURPOSE: To evaluate urinary kidney injury molecule-1 (uKIM-1), which is a proximal tubule injury biomarker in subclinical acute kidney injury (AKI) that may occur in COVID-19 infection. METHODS: The study included proteinuric (n = 30) and non-proteinuric (n = 30) patients diagnosed with mild/moderate COVID-19 infection between March and September 2020 and healthy individuals as a control group (n = 20). The uKIM-1, serum creatinine, cystatin C, spot urine protein, creatinine, and albumin levels of the patients were evaluated again after an average of 21 days. RESULTS: The median (interquartile range) uKIM-1 level at the time of presentation was 246 (141-347) pg/mL in the proteinuric group, 83 (29-217) pg/mL in the non-proteinuric group, and 55 (21-123) pg/mL in the control group and significantly high in the proteinuric group than the others (p < 0.001). Creatinine and cystatin C were significantly higher in the proteinuric group than in the group without proteinuria, but none of the patients met the KDIGO-AKI criteria. uKIM-1 had a positive correlation with PCR, non-albumin proteinuria, creatinine, cystatin C, CRP, fibrinogen, LDH, and ferritin, and a negative correlation with eGFR and albumin (p < 0.05). In the multivariate regression analysis, non-albumin proteinuria (p = 0.048) and BUN (p = 0.034) were identified as independent factors predicting a high uKIM-1 level. After 21 ± 4 days, proteinuria regressed to normal levels in 20 (67%) patients in the proteinuric group. In addition, the uKIM-1 level, albuminuria, non-albumin proteinuria, and CRP significantly decreased. CONCLUSIONS: Our findings support that the kidney is one of the target organs of the COVID-19 and it may cause proximal tubule injury even in patients that do not present with AKI or critical/severe COVID-19 infection.

Early predictors of acute kidney injury in COVID-19 patients.

AIM: This study aims to determine the frequency of COVID-19 related AKI and to identify the early predictors of AKI. METHODS: This study is a single-center, retrospective, observational study. Hospitalized COVID-19 patients between 24/03/2020 and 31/05/2020 were included in the study. All patients were evaluated for renal dysfunctions with urine dipstick, protein/creatinine ratio, albumin/creatinine ratio in spot urine, serum cystatin C, serum creatinine level on hospital admission, and 28th day of hospital admission. To assess the utility of these parameters to predict AKI, a receiver-operating characteristic curve was generated and the area under the curve (AUC) was calculated. RESULTS: 348 patients were included. The average incidence of AKI was 4.9% (n = 17). The incidence of AKI in mild, moderate and severe COVID-19 cases was 1.3% (n = 4), 9.0% (n = 3) and 76.9% (n = 10), respectively. Proteinuria was detected in 7.8% (n = 27) of patients with a urine dipstick test. In spot urine analysis, proteinuria was found in 20.1% (n = 70) of patients. The frequency of persistent proteinuria was 5.2% (n = 18). The AUC alue of serum cystatin C, D-dimer and albumin/creatinine ratio to predict COVID-19 related AKI were 0.96 (0.90 to 1.0), 0.94 (0.89-0.98), and 0.95 (0.91-0.98). CONCLUSION: In COVID-19 patients with normal serum creatinine levels on hospital admission, albuminuria, serum cystatin C and D-dimer levels may be an early predictor of COVID-19 related AKI and these patients should be monitored closely for AKI. Since the sample size in the AKI group was small, our study results should be confirmed with larger cohort studies.