Clinical Evaluation of Patients with COVID-19 Within the Framework of Comorbidities.

Objectives: Chronic systemic diseases (CSD) and cancer are closely related to the clinical course, severity and mortality of COVID-19 due to the immunosuppressive conditions caused by these diseases. The purpose of this study was to investigate the differences between the effects of cancer and CSD on the clinical and laboratory parameters of patients with COVID-19. Methods: The study included patients who received inpatient treatment with the diagnosis of COVID-19 at Ondokuz Mayis University between March 16, 2020, and December 1, 2020. The participants were divided into four groups as follows: Those without comorbidities (Group 1), those with only CSD (Group 2), those with only cancer (Group 3), and those with both CSD and cancer (Group 4). Comparative statistical evaluation was performed in terms of clinical symptoms, biochemical parameters, and admission to intensive care and survival. Results: In total, 750 patients were included: 242 patients in Group 1, 442 in Group 2, 27 in Group 3, and 39 in Group 4. The mean age of the patients was 57.1±9.4 years and 53.7% were male. Patients of Group 1 were significantly different from those of the other groups in terms of age, requirement for intensive care and intubation, complications, survival, white blood cell and lymphocyte count, neutrophil/lymphocyte ratio and levels of hemoglobin, lactic acid dehydrogenase, ferritin, D-dimer, and C-reactive protein (for each p<0.001). Conclusion: No difference was observed among laboratory parameters, intensive care admission, intubation need, complication frequency, and survival rates in patients with CSD or cancer. It was detected that all three groups with CSD and cancer were worse than Group 1 in terms of intensive care need, intubation, and survival.

A novel intubation prediction model for patients hospitalized with COVID-19: the OTO-COVID-19 scoring model.

OBJECTIVE: The method for predicting the risk of intubation in patients with coronavirus disease 2019 (COVID-19) is yet to be standardized. This study aimed to introduce a new disease prognosis scoring model that may predict the intubation risk based on the symptoms, signs, and laboratory tests of patients hospitalized with the diagnosis of COVID-19. METHOD: This cross-sectional retrospective study analyzed the intubation status of 733 patients hospitalized with COVID-19 diagnosis between March and December 2020 at Ondokuz Mayis University Faculty of Medicine, Turkey, based on 33 variables. Binary logistic regression analysis was used to select the variables that significantly affect intubation, which constitute the risk factors. The Chi-square Automatic Interaction Detection algorithm, one of the data mining methods, was used to determine the threshold values of the important variables for intubation classification. RESULTS: The following variables found were mostly associated with intubation: C-reactive protein, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, age, lymphocyte count, and malignancy. The logistic function based on these variables correctly predicted 81.13% of intubated (sensitivity), 99.52% of nonintubated (specificity), and 96.86% of both intubated and nonintubated (accurate classification rate) patients. The scoring model revealed the following risk statuses for the intubated patients: very high risk, 75.47%; moderate risk, 20.75%; and very low risk, 3.77%. CONCLUSIONS: On the basis of certain variables measured at admission, the OTO-COVID-19 scoring model may help clinicians identify patients at the risk of intubation and subsequently provide a prompt and effective treatment at the earliest.

Staff scheduling for residential care under pandemic conditions: The case of COVID-19.

The COVID-19 pandemic severely impacted residential care delivery all around the world. This study investigates the current scheduling methods in residential care facilities in order to enhance them for pandemic conditions. We first define the basic problem that addresses decisions associated with the assignment and scheduling of staff members, who perform a set of tasks required by residents during a planning horizon. This problem includes the minimization of costs associated with the salary of part-time staff members, total overtime, and violations of service time windows. Subsequently, we adapt the basic problem to pandemic conditions by considering the impacts of communal spaces (e.g., shared rooms) and a cohorting policy (classification of residents based on their risk of infection) on the spread of infectious diseases. We introduce a new objective function that minimizes the number of distinct staff members serving each room of residents. Likewise, we propose a new objective function for the cohorting policy that aims to minimize the number of distinct cohorts served by each staff member. A new constraint is incorporated that forces staff members to serve only one cohort within a shift. We present a population-based heuristic algorithm to solve this problem. Through a comparison with two benchmark solution approaches (a mathematical programme and a non-dominated archiving ant colony optimization algorithm), the superiority of the heuristic algorithm is shown regarding solution quality and CPU time. Finally, we conduct numerical analyses to present managerial implications.

Could Some Laboratory Parameters Predict Mortality in COVID-19?

BACKGROUND: The number of confirmed cases of COVID-19 continues to increase worldwide and threatens public health. Our aim in this study is to examine the relationship between some laboratory parameters and hematological ratios with the severity of the disease and hospital mortality. METHODS: This study was designed as a retrospective cohort. The clinical data of 743 COVID-19 diagnosed patients who were eligible for hospitalization between March 16, and May 15, 2020 analyzed, retrospectively. The patients were separated into two groups as discharged from hospital (n = 681) and dead in hospital (n = 62). ROC curves and cutoff values of NLR (Neutrophil/Lymphocyte Ratio), PLR (Platelet/Lymphocyte Ratio), MLR (Monocyte/ Lymphocyte Ratio), CRP, and ferritin upon admission to hospital were calculated for the two groups. Binary Logistic Regression used to determine independent risk factors for mortality. RESULTS: The difference between both groups for age, duration in hospital, WBC, neutrophil, lymphocyte, NLR, PLR, MLR, CRP, and ferritin values were statistically significant. NLR had the highest area under the curve with a cutoff of 5.5 in the ROC curve [(AUC: 0.892, 95% CI: 0.844 - 0.939); Sensitivity = 85%, Specificity = 84%]. NLR, MLR, PLR, CRP and Ferritin groups have significant effects on the survival times of the Covid-19 patients. According to logistic regression analysis, increments of NLR (OR = 18.1, 95% CI: 6.4 - 51.4), CRP (OR = 5.5, 95% CI: 2.5 - 12.2), and age (OR = 2.7 95% CI: 1.3 - 5.5) values proportionally increase the death probability. CONCLUSIONS: NLR, CRP, and age are independent risk factors for mortality from COVID-19. We believe that evaluating these parameters together during diagnosis will be important in predicting the prognosis of the disease and in treatment approaches.

Attitudes of health care professionals towards COVID-19 vaccine - a sequence from Turkey.

The purpose of this study is to evaluate the attitudes of healthcare professionals toward the COVID -19 vaccine, which has been introduced to healthcare professionals at the beginning of 2021 and give information to them on the disease and vaccine. This cross-sectional analytical study has been performed by conducting an online survey to the healthcare professionals who work at the healthcare institutions in the province of Samsun in Turkey between December 2020 and January 2021. In addition to sixteen questions about the demographic characteristics, the "Attitudes towards the COVID -19 vaccine" scale has been used. MANOVA test and Spearman rho correlation coefficient were used in analytical examinations. A total of 1426 healthcare professional have been reached. 64.3% of participants were female, 44.1% were nurse/midwife and 66.6% were public employees. Regarding the questions in the sub-dimension of positive attitude, the rate of response of "I agree/I strongly agree" was between 40.6% and 54.6%. Positive attitude mean values differ according to gender, age, institution, presence of children, smoking status, being a relative who died due to COVID -19, and profession (respectively p < .001, p < .001, p < .001, p < .001, p = .002, p = .019, p < .001). It has been observed that positive and negative attitudes toward COVID -19 vaccination are almost equally distributed and some demographic factors affect the attitude. The opinions of healthcare professionals on the safety and effectiveness of the vaccine, which are the main elements of the vaccination effort, may affect the public perception of vaccination.

Investigation of the disease process and drug combinations in patients with suspected/confirmed COVID-19 using favipiravir.

AIMS: It is aimed to investigate the disease processes and drug combinations in patients who received favipiravir treatment. METHODS: This cross-sectional, analytical and retrospective study included all patients aged ≥18 years (n = 502) who were hospitalised in Samsun, Turkey, for COVID-19 and were given favipiravir from the date between 25 March 2020 and 3 June 2020. RESULTS: In total, 58.6% (n = 294) of the patients were male and 24.5% (n = 123) were between the ages of 71 and 80 years. During the first case process, the mortality rate was 19.9%, whereas the rate of those who were discharged as is/followed up at home for 14 days was 37.3%. During the second case process, the mortality rate was 6.2%, and the rate of those who was discharged as is/followed up at home for 14 days was 65.6%. The mean length of hospital stay was 10.61 ± 8.17 days for the first and 7.97 ± 4.16 days for the second hospitalisation; this difference was significant. Mortality risk of those who used Tocilizumab or vitamin C beside Favipiravir was higher than those who did not. The length of hospital stay was higher in patients using tocilizumab than in those who did not (P < .001). CONCLUSION: Administration of favipiravir later in the course of the disease makes it difficult to achieve the true efficacy expected from the drug and also makes it difficult for other combination drugs to contribute to survival. Favipiravir may also be effective in case of recurrence.