Risk factors and the impact of vaccination on mortality in COVID-19 patients.

INTRODUCTION: The novel coronavirus disease (COVID-19) pandemic has had a profound global impact economically, socially, and in many other areas. As vaccines are developed and introduced, their effect on the disease on both, the global and individual scale is a subject of intense curiosity. This study aimed to evaluate the relationship between risk factors for hospitalization, disease severity, and vaccination status in COVID-19 inpatients in a pandemic hospital. METHODOLOGY: Patients hospitalized for COVID-19 between June and September 2021 were retrospectively analyzed in three groups: unvaccinated, incompletely vaccinated, and fully vaccinated. Disease severity was classified as moderate, severe, or critical according to World Health Organization criteria, and mortality risk factors and the prognostic effect of vaccination were analyzed. RESULTS: The study included 486 patients, 228 women (46.9 %) and 258 men (53.1 %), with a mean age of 55.4 ± 16.5 years. Of these, 264 patients (54.3 %) were unvaccinated, 147 (30.2 %) were incompletely vaccinated, and 75 (15.4 %) were fully vaccinated. Older age, higher Charlson Comorbidity Index, greater disease severity, and being unvaccinated or incompletely vaccinated were associated with higher mortality. CONCLUSIONS: The results of our study indicate that age, disease severity, comorbidities, and vaccination status were factors affecting COVID-19 mortality. Our findings support that full vaccination reduces COVID-19 -related mortality rates, disease severity, and length of hospital stay. However, large-scale studies with larger patient populations are needed (Tab. 2, Ref. 22).

PENTRAXIN 3 LEVELS CORRELATE WELL WITH DISEASE SEVERITY AT ADMISSION IN COVID-19 PATIENTS.

Pentraxin 3 (PTX3), a long pentraxin, is not only released from dendritic cells and neutrophils but also from epithelial and endothelial cells such as alveolar epithelium. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) initially activates the innate immune system, causing a complex immune response. Clinical and experimental studies suggest that PTX3, a locally and systemically secreted marker, can be used as a predictor of the severity and mortality in respiratory infections. In the current study, serum PTX3 levels in patients hospitalized with COVID-19 were found to be significantly increased at admission and showed significant association with the disease severity.

The mortality rate of COVID-19 was high in cancer patients: a retrospective single-center study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has quickly turned into a global pandemic with close to 5 million cases and more than 320,000 deaths. Cancer patients constitute a group that is expected to be at risk and poor prognosis in COVID pandemic. We aimed to investigate how cancer patients are affected by COVID-19 infection, its clinical course and the factors affecting mortality. METHODS: In our single-center retrospective study, we included cancer patients with laboratory confirmed COVID-19 in our hospital. Demographic, clinical, treatment, and laboratory data were obtained from electronic medical records. Logistic regression methods were used to investigate risk factors associated with in-hospital death. RESULTS: In the hospital, 4489 patients were hospitalized with COVID infection and 77 were cancer patients. The mean age of cancer patients was 61.9 ± 10.9 and 44 of them were male (62%). While the mortality rate in non-cancer patients was 1.51% (n = 68), this rate was significantly higher in cancer patients, 23.9% (n = 17). The stage of the disease, receiving chemotherapy in the last 30 days also lymphopenia, elevated troponin I, D-dimer, CRP, and CT findings were associated with severe disease and mortality. Severe lung involvement (OR = 22.9, p = 0.01) and lymphopenia (OR = 0.99, p = 0.04) are the most important factors influencing survival in logistic regression. CONCLUSIONS: The disease is more severe in cancer patients and mortality is significantly higher than non-cancer patients. These data show that it may be beneficial to develop dynamic prevention, early diagnosis and treatment strategies for this vulnerable group of patients who are affected by the infection so much.

Comparison of Pneumonia Severity Indices, qCSI, 4C-Mortality Score and qSOFA in Predicting Mortality in Hospitalized Patients with COVID-19 Pneumonia.

This is a retrospective and observational study on 1511 patients with SARS-CoV-2, who were diagnosed with COVID-19 by real-time PCR testing and hospitalized due to COVID-19 pneumonia. 1511 patients, 879 male (58.17%) and 632 female (41.83%) with a mean age of 60.1 ± 14.7 were included in the study. Survivors and non-survivors groups were statistically compared with respect to survival, discharge, ICU admission and in-hospital death. Although gender was not statistically significant different between two groups, 80 (60.15%) of the patients who died were male. Mean age was 72.8 ± 11.8 in non-survivors vs. 59.9 ± 14.7 in survivors (p < 0.001). Overall in-hospital mortality was found to be 8.8% (133/1511 cases), and overall ICU admission was 10.85% (164/1511 cases). The PSI/PORT score of the non-survivors group was higher than that of the survivors group (144.38 ± 28.64 versus 67.17 ± 25.63, p < 0.001). The PSI/PORT yielding the highest performance was the best predictor for in-hospital mortality, since it incorporates the factors as advanced age and comorbidity (AUROC 0.971; % 95 CI 0.961−0.981). The use of A-DROP may also be preferred as an easier alternative to PSI/PORT, which is a time-consuming evaluation although it is more comprehensive.

Changing characteristics of cancer patients during the COVID-19 pandemic.

INTRODUCTION: Cancer patients are more sensitive to infections, and, compared to other patients, may have more serious outcomes. Thus, cancer patients are a high-risk group in the COVID-19 pandemic. The aim of this study was to evaluate how cancer patients are affected by COVID-19 infection; the prevalence, and factors affecting mortality. METHODOLOGY: This single-centre, retrospective study included cancer patients under follow-up treatment at our hospital with a laboratory-confirmed diagnosis of COVID-19. Demographic and clinical data were obtained from electronic medical records. The effects of tumour subtype and patient demographic data on COVID-19 prevalence and mortality were analyzed using univariate and multivariate models. RESULTS: Evaluation was made of 217 cancer patients, comprising140 (64.5%) males and 77 (35.5%) females with a mean age of 62.05 ± 12.95 years. Mortality was seen in 84 (38.7%) patients. Disease grade, chemotherapy within the last 3 months and CT findings were determined to be related to mortality. In logistic regression analysis, the most important factors affecting survival were determined to be severe lung involvement (p < 0.001) and hematological malignancy. CONCLUSIONS: It is clear that cancer patients are at greater risk from COVID-19 infection than individuals without a malignant disease. The results showed that cancer patients with different tumour types had different levels of sensitivity to COVID-19. It is clear that with ongoing viral mutations, the duration of the pandemic is unknown. Therefore, the continuation of cancer screening and cancer treatments should not be interrupted.

Mucocutaneous manifestations and the relationship to CD4 lymphocyte counts among Turkish HIV/AIDS patients in Istanbul, Turkey.

BACKGROUND/AIM: Dermatologic findings differ among countries but no sufficient data about Turkish HIV-infected patients exist in the literature. Therefore, our aim in this study was to document the dermatologic manifestations and their relationships with CD4 cell counts among HIV/AIDS patients visiting our clinic for the first time in Istanbul, Turkey. MATERIALS AND METHODS: A retrospective analysis of 306 HIV/AIDS patients (260 men, mean age: 38.3 years) was done in a tertiary hospital in Istanbul from January 2006 to September 2012. Information on age, sex, transmission routes, socioeconomic and educational status, CD4 counts, and dermatologic findings was collected retrospectively from medical records. RESULTS: Our analyses revealed at least 1 dermatologic disease in 111 of the 306 (36.2%) patients. Mean CD4 count of the patients was 393.64 cells/mm3 (range: 4-1270 cells/mm3). Oral candidiasis (12.4%), herpes zoster (5.9%), dermatophytosis (5.4%), hyperpigmentation (5.2%), and folliculitis (4.6%) were the most common skin problems. Statistically significant correlation (P < 0.05) with low CD4 cell counts was found for oral candidiasis, folliculitis, herpes zoster, hyperpigmentation, xerosis, and Kaposi's sarcoma. CONCLUSION: Dermatologic manifestations in this study were identical to those described in most studies from Asia, and there were more manifestations as the HIV infection progressed and immune functions declined.

[Toxoplasma gondii IgG seroprevalence in HIV/AIDS patients]. / HIV/AIDS Hastalarinda Toxoplasma gondii IgG Seroprevalansi

OBJECTIVE: Our aim was to determine the Toxoplasma gondii IgG seroprevalence in HIV/AIDS patients who applied to our outpatient clinic. METHODS: Between January 2006 and June 2010, 164 HIV/AIDS patients were tested for Toxoplasma gondii IgG antibodies by using the ELISA method. RESULTS: Of the total of 164 HIV/AIDS patients, 135 were male, 29 were female with a mean age of 36 years (range: 20-72 years). 85 (52%) of cases, T. gondii IgG was evaluated positive. In addition, positive T. gondii IgG was seen in 23 of 36 patients (64%) whose count of CD4+T cell was below 100. CONCLUSION: Life threatening clinical conditions, mostly toxoplasma encephalitis, develop in cases who are T. gondii IgG seropositive with a count of CD4+ T cell lower than 100. The presence of T. gondii IgG should be investigated in all HIV infected patients due to the high risk of reactivation.