The aggregate index of systemic inflammation may predict mortality in COVID-19 patients with chronic renal failure.

OBJECTIVE: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), was first detected in December 2019 and then spread globally, resulting in a pandemic. Initially, it was unknown if chronic kidney disease (CKD) contributed to the mortality caused by COVID-19. The immunosuppression associated with this disease may minimize the COVID-19-described hyper-inflammatory state or immunological dysfunction, and a high prevalence of comorbidities may lead to a poorer clinical prognosis. Patients with COVID-19 have abnormal circulating blood cells associated with inflammation. Risk stratification, diagnosis, and prognosis primarily rely on hematological features, such as white blood cells and their subpopulations, red cell distribution width, mean platelet volume, and platelet count, in addition to their combined ratios. In non-small-cell lung cancer, the aggregate index of systemic inflammation (AISI), (neutrophils x monocytes x platelets/lymphocytes) is evaluated. In light of the relevance of inflammation in mortality, the objective of this study is to determine the impact of AISI on the hospital mortality of CKD patients. PATIENTS AND METHODS: This study is an observational retrospective study. Data and test outcomes of all CKD patients, stages 3-5, hospitalized for COVID-19 and followed between April and October 2021 were analyzed. RESULTS: Patients were divided into two groups according to death (Group 1-Alive, Group 2-Died). Neutrophil count, AISI and C-reactive protein (CRP) levels were increased in Group-2 [10.3±4.6 vs. 7.65±4.22; p=0.001, 2,084.1 (364.8-2,577.5) vs. 628.9 (53.1-2,275); p=0.00 and 141.9 (20.5-318) vs. 84.75 (0.92-195); p=0.00; respectively]. Receiver operating characteristic (ROC) analysis demonstrated 621.1 as a cut-off value for AISI to predict hospital mortality with 81% sensitivity and 69.1% specificity [area under ROC curve 0.820 (95% CI: 0.733-0.907), p<.005]. Cox regression analysis was used to analyze the effect of risk variables on survival. In survival analysis, AISI and CRP were identified as important survival predictors [hazard ratio (HR): 1.001, 95% CI: 1-1.001; p=0.00 and HR: 1.009, 95% CI: 1.004-1.013; p=0.00]. CONCLUSIONS: This study demonstrated the discriminative effectiveness of AISI in predicting disease mortality in COVID-19 patients with CKD. Quantification of AISI upon admission might assist in the early detection and treatment of individuals with a bad prognosis.

Investigation of long-term follow-up results of COVID-19 disease in kidney transplant patients and the effect of inactive COVID-19 vaccine

Objective: We aimed to evaluate the long-term graft functions of kidney transplant recepients (KTR) who have been cured of the COVID-19 and to investigate the role of inactivated COVID-19 vaccine in the clinical course of the disease. Materials and Methods: KTR who had COVID-19 pneumonia between March 2020 and September 2021 were included in the study.. The clinical course of the disease was evaluated in vaccinated patients and compared with those who were not vaccinated. The laboratory information of the patients at the time of admission to the hospital, 6 months and 12 months after the disease was recorded. Results: Of the 83 patients included, 67.5% were male. COVID-19 disease developed in 20 patients after vaccination. Vaccine;it decreased the development of acute kidney injury (AKI) 5.9 fold and hospitalization in the intensive care unit (ICU) 1.4 times fold (p < 0.05). In the follow-up, 10 patients died at the first admission to the hospital and no late death was recorded in the first year. Dialysis treatment was started in 5 patients due to graft loss. Conclusion: In kidney transplant patients, graft dysfunction may develop after COVID-19 infection. However, the inactivated COVID-19 vaccine;it can reduce the risks of hospitalization, AKI, and ICU admission.

Identification of Covid-19 infection sources in healthcare professionals: a retrospective analysis of 180 cases

Purpose: The aim of this study is to determine demographic characteristics, laboratory and radiological findings, sources of infection and contact risks among healthcare workers diagnosed with Covid-19;. Materials and Methods: This retrospective, cross-sectional study was conducted in healthcare workers who were diagnosed with Covid-19 by applying to the employee health unit between April 2020 and January 2021. The risky contacts of the cases in terms of Covid-19 infection in the last 14 days, contact risks according to the Covid-19 guide of the Ministry of Health, laboratory and radiological findings were examined. Results: 180 (116 female, 64 male) healthcare workers with a mean age of 38.9 +/- 9.3 (21-65) were included in the study. It was determined that 114 (63.3%) people had workplace contact and 78 (68.4%) of these contacts were with a patient with a diagnosis of Covid-19, and 36 (31.6%) with a colleague with a diagnosis of Covid-19. While out-of-work contact was detected in 33 (18.3%) of the cases, there was no history of contact with any known person with Covid-19 infection in 33 (18.3%). All of the cases with out-of-work contact had a history of medium or high-risk contact, while 61.4% of those with workplace contact had low-risk or non-risk contact. Conclusion: In the event of Covid-19 infection developing in healthcare workers, it is important to accept the disease as occupational and to provide compensation and rehabilitation rights when no exposure outside the workplace is detected.