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.

The effect of thrombosis-related laboratory values on mortality in COVID-19 infection.

OBJECTIVE: COVID-19 may cause thrombosis in both venous and arterial systems. Familiarity with the signs and symptoms of thrombosis and its treatment is essential in treating COVID-19 infection and its complications. D-Dimer and mean platelet volume (MPV) are measurements related to the development of thrombosis. This study investigates whether MPV and D-Dimer values could be used to determine the risk of thrombosis and mortality in the COVID-19 early stages. PATIENTS AND METHODS: 424 patients who were COVID-19 positive, according to the World Health Organization (WHO) guidelines, were randomly and retrospectively included in the study. Demographic and clinical characteristics such as age, gender, and length of hospitalization were obtained from the digital records of participants. Participants were divided into living and deceased groups. The patients' biochemical, hormonal, and hematological parameters were analyzed retrospectively. RESULTS: White blood cells (WBC), neutrophils, and monocytes were significantly different in the two groups (p-value <0.001), and their values were lower in the living group than in the deceased group. MPV median values did not differ according to prognosis (p-value = 0.994). While the median value was 9.9 in the survivors, it was 10 in the deceased. Creatinine, procalcitonin, ferritin, and the number of hospitalization days in living patients were significantly lower than in patients who died (p-value <0.001). Median values of D-dimer (mg/L) differ according to prognosis (p-value <0.001). While the median value was 0.63 in the survivors, it was found as 438 in the deceased. CONCLUSIONS: Our results did not show any significant relationship between the mortality of COVID-19 patients and their MPV levels. However, a significant association between D-Dimer and mortality in COVID-19 patients was observed.

The significance of a novel inflammatory biomarker, presepsin, in predicting disease prognosis in patients with COVID-19.

OBJECTIVE: This study aims at determining the significance of a novel inflammatory biomarker, presepsin, in predicting disease prognosis in patients with COVID-19. PATIENTS AND METHODS: This retrospective study was concluded at the University Hospital between April and August 2020. The study involved 88 COVID-19 patients (48 men and 40 women). The patients were categorized into two groups: the patients admitted to the COVID-19 clinic, described as the moderate COVID-19 patients (Group-1; n=44), and those admitted to the internal medicine outpatient clinic, who were the mild COVID-19 patients (Group-2; n=44). The groups were compared using inflammatory markers: presepsin, C-Reactive Protein to Albumin Ratio, Neutrophil to Lymphocyte Ratio, and procalcitonin. RESULTS: Serum presepsin levels (195.29 vs. 52.12 pg/ml) were significantly higher in the Group-1 compared to the Group-2 (p=0.001). The gender distribution and average age were similar in both groups (p > 0.05). While ferritin, lactate dehydrogenase, D-Dimer, platelet lymphocyte ratio, C-Reactive Protein to Albumin Ratio (p=0.001), erythrocyte sedimentation ratio, C-Reactive Protein and presepsin were significantly higher in the Group-1 compared to Group-2 (p<0.05), while hemoglobin and lymphocyte were significantly lower in the Group-1 than in Group-2 (p<0.05). CONCLUSIONS: Serum presepsin levels were found to be significantly higher in moderate clinical group COVID-19 patients compared to mild group. Presepsin, a new inflammatory biomarker, may be useful in predicting the prognosis and early treatment of COVID-19 infection.

Predictors of disease severity, clinical course, and therapeutic outcome in COVID-19 patients: our experience with 1,700 patients.

OBJECTIVE: Our study aimed at investigating the impacts of demographic, hematological, and biochemical factors on the clinical course and the prognostic outcome in adult COVID-19 patients. PATIENTS AND METHODS: This retrospective study was performed in the internal medicine departments of two hospitals, and data were extracted from the medical files of 1,700 adult COVID-19 patients (836 females, 49.2%; 864 males, 50.8%) with an average age of 48.23 ± 16.68 (range: 18-93). Clinical data included baseline descriptives, prior medical history, admission date, treatment, and hematological and biochemical blood test results. The relationship between the survival, length of hospitalization, hematological, and biochemical parameters was investigated. RESULTS: Advanced age (p<0.001), presence of at least on comorbid disease (p=0.045), increased length of hospitalization (p=0.006), elevated white blood cell (p=0.001) and neutrophil (p=0.002) counts, increased serum levels of glucose (p=0.027), blood urea nitrogen (p<0.001), AST (p=0.006), LDH (p<0.001), CRP (p>0.001), and D-dimer (p=0.001). In contrast, diminution of serum levels of albumin (p<0.001), ALT (p=0.028), calcium (p=0.022), and platelet count (p=0.010) were associated with increased mortality. There was a positive and weak relationship between serum D-dimer levels and length of hospitalization. CONCLUSIONS: Our data imply that identifying and validating indicators that predict COVID-19 disease progression to improve health outcomes is crucial. Age, comorbidities, immunological response, radiographic abnormalities, laboratory markers, and signs of organ dysfunction may all predict poor outcomes individually or collectively. Identifying characteristics that predict COVID-19 problems is critical to guiding clinical management, improving patient outcomes, and allocating limited resources.

The novel biomarker, neopterin, can predict the severity of COVID-19.

OBJECTIVE: SARS-CoV-2 infection primarily affects T-lymphocytes, particularly CD4+ and CD8+ T cells. However, there is a need for simpler and less expensive laboratory tests with predictive values comparable to CD4+ cell counts. Thus, the goal of this study was to investigate the role of neopterin levels in predicting intensive care and mortality in coronavirus disease patients in 2019. PATIENTS AND METHODS: This retrospective study included 87 hospitalized patients who were diagnosed with COVID-19. Patients were divided into two groups: those receiving intensive care (Severe COVID-19; S-COVID-19) and those receiving non-intensive care (Moderate COVID-19; M-COVID-19). Patients' clinical characteristics, serum neopterin levels, and other laboratory data were compared across groups. RESULTS: The average age was 63.9±155.2 years, and 44 (%) of the participants were male. WBC (p = 0.008), neutrophil (p = 0.002), HDL (p = 0.009), ferritin, calcium, albumin, LDH, APTT, lymphocyte, INR, D-dimer, troponin, prothrombin time sedimentation, and PaO2 (p = 0.001) were all associated with death. The neopterin level in the M-COVID-19 group was 3 (min-max; 3.1-5.9) and 3.2 (2.3-7) in the S-COVID-19 group, with no statistically significant difference (p = 0.456). Gender differences between groups were not significant (p = 0.183). According to the ROC analysis, if parameters such as age, D-Dimer, troponin, ferritin, albumin, LDH, CRP, procalcitonin, and PaO2 exceed the cut-off values and lymphocyte levels are below, it can predict the need for intensive care and mortality in COVID-19 patients. CONCLUSIONS: Although we did not find statistically significant results with neopterin in terms of mortality in COVID-19 individuals in our study, more thorough, prospective, randomized controlled studies with expanded patient populations at various phases of the disease are needed.

DOES ANGIOTENSIN II RECEPTOR BLOCKERS/ANGIOTENSIN CONVERTING ENZYME INHIBITORS INCREASE THE RISK OF COVID-19 INFECTED PATIENTS?

Objective: The study aims to determine whether ACEI/ARB use associated with an increased probability of viral infection and investigate whether there are differences in disease severity and mortality between ACEI/ARB users and non-ACEI/ARB users. Material and methods: In this retrospective study, 330 patients with severe acute respiratory syndrome coronavirus 2 disease were divided into two groups: patients using ACEI/ARB Blocker and patients not using it. Baseline features and prognoses were compared for the two groups. Results: The rate of intensive care hospitalization in the group using ACE/ARB was significantly (p<0.05) higher than the group not using ACEI/ARB on the day of hospitalization in the intensive care unit. The degree of clinical classification in the group using ACEI/ARB was significantly (p<0.05) higher than the group not using ACE/ARB. The mortality rate in the group using ACE/ARB was significantly (p<0.05) higher than the group not using ACEI/ARB. Conclusion: Although it has been determined that the use of antihypertensive ACEI/ARB in COVID 19 patients is associated with mortality and survival, it has been concluded that the continuation of ACEI/ARB use would be more appropriate for the continuation of antihypertensive treatment.

Super levels and covid-19: Is there a relationship between supar levels and prognosis of covid-19 infection?

Objective: SuPAR is known as a marker for inflammation. In this study, we aimed to analyse suPAR levels and its correlation with disease prognosis in COVID-19 patients. Method: Demographical, clinical and laboratory data of the 36 patients were recorded. Existence of suPAR levels and other parameters along with prognosis was studied. Result: Of 36 patients included in this study, 15 were female (42%) and 21 were male (58%). The median age of the patients with mortality was 73 (min-max ,IR;49-88, 25), and the median age of the patients with no mortality was 72 (min-max ,IR;47- 83, 21) revealing a statistically non-significant difference (p=0,596). Among lab tests, hemoglobin (p=0,044), urea (p=0,011), troponin(p=0,033), LDH (p=0,005), and procalcitonin (p=0,036) were significantly associated with mortality. Median suPAR level was 102 (min-max, IR;29-540, 274) for the patients with no mortality whereas, median suPAR level was 61 (min-max, IR;29-540, 355) for the patients with mortality, and the difference was statistically non-significant (p=0,607). Conclusion: SuPAR levels seem to be ineffective to predict disease severity and prognosis of COVID-19. More randomised controlled trials with larger groups are needed to clarify the association of suPAR levels and COVID-19. © 2021 A. CARBONE Editore. All rights reserved.

A proposed framework based on literature review of online contextual mental health services to enhance wellbeing and address psychopathology during covid-19

Coronavirus disease (COVID-19) became a pandemic and is causing unprecedented biopsychosocial, spiritual and economic issues across the world while mostly affecting unprivileged populations. Turkey has gradually implemented new regulations, which slowly affected the entire country and increased the need for mental health services disproportionally. We conducted a comprehensive literature review on mental health in Turkey during COVID-19. There was no well-grounded peer-reviewed manuscripts or projects utilized a framework. Therefore, we wrote this manuscript to provide a conceptual framework grounded in ecological systems theory, acceptance and commitment therapy, and community-based participatory action research to introduce contextually evidence-based online mental health services: hotline, psychiatric interview, counseling, and Read-Reflect-Share group bibliotherapy. The framework aims to (1) address biopsychosocial spiritual and economic issues, (2) enhance wellbeing, and (3) empower the mental health profession in research and practice. Our preliminary findings and clinical experience indicated that the proposed framework and interventions derived from the framework enhanced wellbeing and decreased psychopathological symptoms in experimental group compared to control groups. Based on the preliminary analysis, most of the online, phone based, or face-to-face mental health services introduced in this manuscript were highly recommended by the participants to be provided to general public during and after COVID-19. Mental health professionals and authorities can use the proposed framework and interventions to develop interventions and research in order to alleviate pandemic-based biopsychosocial spiritual and economic issues and enhance wellbeing.

Thought, Attitudes, and Practices of the Anatomy Departments on Receiving and Embalming Cadavers During the Pandemic Process

During the Covid-19 pandemic that has marked the last years, while governments tried to control the spread of the virus, many-body donation programs were suspended due to difficulties that could potentially be encountered. Given the low body donation acceptance rates during this period, through this study we aimed to evaluate academics' knowledge, attitudes, and behaviors in cadaver acceptance and embalming practices during the pandemic. The research population of th estudy consisted of the faculty of 112 universities in Turkey who taught in under graduate and graduate programs in the Anatomy Department in 2020. An electronic questionnaire of 24 items, including demographic data, was distributed to the participants' official e-mail addresses. In addition, support was received from the Turkish Anatomy and Clinical Anatomy Society, whose members were also approached through their official group e-mail accounts. Answers were collected from 78 (39 %) out of 200 academics. The findings of the study were under 5 headings (ınformation about cadaver donation and ımported cadavers, attitude towards ımportation of cadavers and acceptance of body donations, precautions against contagion in ımportation of cadavers and acceptance of body donations and thoughts on their adequacy, considerations for adoption of cadavers for post-graduation education, advice on avoiding contagion in cadaver embalming) were collected and analyzed. The study high lights the importance of cadaver acceptance and embalming practices for medical education to minimally continue in the post-pandemic period. It can also serve as a reference for being cautious when faced with similar situations in the future.

The prognostic significance of erythrocyte sedimentation rate in COVID-19

OBJECTIVE: There are limited data about the significance of erythrocyte sedimentation rate as a single prognostic parameter for the prognosis and mortality of COVID-19. This study aimed to investigate the diagnostic utility of erythrocyte sedimentation rate as a prognostic factor for the disease severity and mortality in patients with COVID-19. METHODS: A total of 148 consecutive patients with a confirmed diagnosis of COVID-19 and hospitalized at the intensive care unit or non-the intensive care unit were included in the study. The patients were allocated to groups as severe/critical disease versus nonsevere disease and survivors and nonsurvivors. The prognostic role and predictable values of erythrocyte sedimentation rate were analyzed. RESULTS: Erythrocyte sedimentation rate was found to be higher among patients with severe/critical disease compared to those with nonsevere disease (p<0.001) and among nonsurvivors compared to survivors (p<0.001). The logistic regression analysis showed that erythrocyte sedimentation rate was an independent parameter for predicting disease severity and mortality. The role of erythrocyte sedimentation rate in the assessment of severity and mortality in patients with COVID-19 was analyzed using the receiver operating characteristic curve and was found to be significant in both. The analyses suggested that the optimum erythrocyte sedimentation rate cutoff point for disease severity and mortality were 52.5 mm/h with 65.5% sensitivity and 76.3% specificity and 56.5 mm/h with 66.7% sensitivity and 72.5% specificity. CONCLUSION: Our results suggest that erythrocyte sedimentation rate was an independent prognostic factor for severity and mortality in patients with COVID-19.