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Multisystem inflammatory syndrome in adults (MIS-A) is a new syndrome related with COVID-19. A case-based review was performed to present real-life experiences in terms of main findings and treatment options. We described two cases with the diagnosis of MIS and searched the literature to review all reported ≥ 18-year-old cases. The PubMed, Scopus, and Web of Science databases were searched. All relevant articles from January 2020 to February 2021 were reviewed. An adolescent and an adult patient (18 and 40 years-old, respectively) with the diagnosis of MIS were presented. Both had the consistent clinical findings with the case definition criteria. Although steroid, intravenous immunoglobulin (IVIG) and supportive care treatments have been suggested in the literature, there exists no treatment guideline for MIS-A. The clinical and laboratory findings of the patients progressively improved with the implementation of the IVIG and the pulse steroid treatments. A total of 51 cases (≥ 18 years-old) with MIS were analyzed. Mean age was 29.4 ± 10 years. Fever (80.4%), gastrointestinal (72.5%), and respiratory symptoms (54.9%) were the predominant symptoms. Cardiovascular abnormalities were the most frequent reported findings (82.4%, 42/51). The dermatological and conjunctival findings were reported in 39.2% and 35.3% of the patients, respectively. The increased level of inflammatory biomarkers was remarkable. Most of the patients were treated successfully with steroid and IVIG. Clinicians managing adult patients should keep in mind the development risk of MIS related with SARS-CoV-2 infection to perform necessary interventions properly without delay. IVIG and pulse steroid treatments are the effective options on clinical improvement.

the causative agent was identified as a new Coronavirus (2019-nCoV), which had not previously been detected in humans [1]. Later, the name of 2019-nCoV disease was accepted as COVID-19, and the virus was named SARS-CoV-2 because of its close resemblance to SARS CoV. After this date, the number of patients increased rapidly, and the WHO declared an "International Public Health Emergency" regarding the coronavirus outbreak at its meeting on January 30, 2020.Although the world was caught unprepared to the sudden emergence and rapid spread of the COVID-19 outbreak, Turkey managed to postpone the emergence of the disease within its borders through the implementation of effective preventive measures until March 11, 2020, when the first case was detected. After cases seen in China, Italy, and Spain starting from January, Turkey executed a meticulous monitoring and evaluation process to decide, implement, and follow up with comprehensive and timely measures. These measures have given time to be prepared for both the community and the healthcare system in this pandemic. Furthermore, since the beginning of the pandemic, Turkish citizens infected with COVID-19 have Background/aim: The aim of this study is to evaluate the epidemiological and clinical characteristics and parameters that determined the clinical course and prognosis of the COVID-19 patients admitted to Ankara City Hospital during the first month of the pandemic in Turkey.Materials and methods: SARS-CoV-2 PCR positive patients who were hospitalized between March 10 and April 10, 2020 were included.Results: Among 222 patients, mean age was higher in severe acute respiratory illness (SARI)/critical disease group (P < 0.001). Median time from illness onset to admission and presence of comorbidity, especially coronary artery disease and chronic obstructive pulmonary disease, were significantly higher in the SARI/critical disease group (P < 0.05). Cough and fever were the most common symptoms, while anosmia and loss of taste were observed in 8.6% and 7.7% patients, respectively. The mortality rate was 5.4%. A high neutrophil/lymphocyte ratio; low lymphocyte, monocyte, and platelet count; elevated liver enzymes; low GFR; and high levels of muscle enzymes, ferritin, and IL-6 on admission were found to be associated with SARI/critical disease (P < 0.05). Bilateral ground-glass opacity and patchy infiltration were more frequently seen in the SARI/critical disease group (P < 0.001). Patients older than 65 years had an 8-fold increased risk for development of SARI/critical disease. Conclusion:This cohort study regarding COVID-19 cases in Turkey reveals that older age, presence of comorbidity, bilateral infiltration on CT, high neutrophil/lymphocyte ratio, low monocyte and platelet count, elevated liver enzymes, low GFR, high levels of muscle enzymes, and high levels of ferritin and IL-6 on admission are predictors of SARI and severe disease.

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COVID‐19 pandemic has been affecting the whole world by increasing morbidity and mortality rates day by day. Treatment algorithms have been attempted as parallel to the increasing experience with COVID‐19. In the pathogenesis of this virus pro‐inflammatory cytokine storm has been called to have the main role. The right timing should be made for treatments. We proposed IL‐ 1 blocking by anakinra in seventeen COVID‐19 patients at high risk of worsening. Patients were assessed according to HScore, SOFA (Sequential Organ Failure Assessment Score = SOFA), MuLBSTA Score (multilobular infiltration, hypo‐lymphocytosis, bacterial coinfection, smoking history, hyper‐tension, and age), Brescia‐COVID respiratory severity scale (BCRSS). In our study, the mortality rate was 17.6%. Consequently, 1 (5.9%) patient was receiving low‐flow oxygen supply, 3 (17.6%) patients needed no longer oxygen supply and 10 (58.8%) patients were discharged from the hospital. According to the results of our study in the manner of general evaluation; we found that SOFA, MuLBSTA, and BCRSS scores were one step ahead according to HScore being insufficient to determine early phases of the disease. In our opinion, the prominent factors that emphasize the use of anakinra could be listed as comorbidity, risk, or presence of secondary infection, ongoing malignant disease. However, the other factors that enhance the use of anakinra in the situation of viremia also could be sorted as no response to full dose antivirals, antiviral side effects, or no success to antiviral treatment.

Background Early identification of severe COVID-19 patients who will need intensive care unit (ICU) follow-up and providing rapid, aggressive supportive care may reduce mortality and provide optimal use of medical resources. We aimed to develop and validate a nomogram to predict severe COVID-19 cases that would need ICU follow-up based on available and accessible patient values. Methods Patients hospitalized with laboratory-confirmed COVID-19 between March 15, 2020, and June 15, 2020, were enrolled in this retrospective study with 35 variables obtained upon admission considered. Univariate and multivariable logistic regression models were constructed to select potential predictive parameters using 1000 bootstrap samples. Afterward, a nomogram was developed with 5 variables selected from multivariable analysis. The nomogram model was evaluated by Area Under the Curve (AUC) and bias-corrected Harrell's C-index with 95% confidence interval, Hosmer–Lemeshow Goodness-of-fit test, and calibration curve analysis. Results Out of a total of 1022 patients, 686 cases without missing data were used to construct the nomogram. Of the 686, 104 needed ICU follow-up. The final model includes oxygen saturation, CRP, PCT, LDH, troponin as independent factors for the prediction of need for ICU admission. The model has good predictive power with an AUC of 0.93 (0.902–0.950) and a bias-corrected Harrell's C-index of 0.91 (0.899–0.947). Hosmer–Lemeshow test p-value was 0.826 and the model is well-calibrated (p = 0.1703). Conclusion We developed a simple, accessible, easy-to-use nomogram with good distinctive power for severe illness requiring ICU follow-up. Clinicians can easily predict the course of COVID-19 and decide the procedure and facility of further follow-up by using clinical and laboratory values of patients available upon admission.

Background The core components (CCs) of infection prevention and control (IPC) from World Health Organization (WHO) are crucial for the safety and quality of health care. Our objective was to examine the level of implementation of WHO infection prevention and control core components (IPC CC) in a developing country. We also aimed to evaluate health care-associated infections (HAIs) and antimicrobial resistance (AMR) in intensive care units (ICUs) in association with implemented IPC CCs. Methods Members of the Turkish Infectious Diseases and Clinical Microbiology Specialization Association (EKMUD) were invited to the study via e-mail. Volunteer members of any healt care facilities (HCFs) participated in the study. The investigating doctor of each HCF filled out a questionnaire to collect data on IPC implementations, including the Infection Prevention and Control Assessment Framework (IPCAF) and HAIs/AMR in ICUs in 2021. Results A total of 68 HCFs from seven regions in Türkiye and the Turkish Republic of Northern Cyprus participated while 85% of these were tertiary care hospitals. Fifty (73.5%) HCFs had advanced IPC level, whereas 16 (23.5%) of the 68 hospitals had intermediate IPC levels. The hospitals’ median (IQR) IPCAF score was 668.8 (125.0) points. Workload, staffing and occupancy (CC7; median 70 points) and multimodal strategies (CC5; median 75 points) had the lowest scores. The limited number of nurses were the most important problems. Hospitals with a bed capacity of > 1000 beds had higher rates of HAIs. Certified IPC specialists, frequent feedback, and enough nurses reduced HAIs. The most common HAIs were central line-associated blood stream infections. Most HAIs were caused by gram negative bacteria, which have a high AMR. Conclusions Most HCFs had an advanced level of IPC implementation, for which staffing was an important driver. To further improve care quality and ensure everyone has access to safe care, it is a key element to have enough staff, the availability of certified IPC specialists, and frequent feedback. Although there is a significant decrease in HAI rates compared to previous years, HAI rates are still high and AMR is an important problem. Increasing nurses and reducing workload can prevent HAIs and AMR. Nationwide “Antibiotic Stewardship Programme” should be initiated.

Aims: This study aimed to determine thermal comfort among nurses working with personal protective equipment in COVID-19 clinic.Methods: In this study, a descriptive design was carried out between June and September 2020. Sample of the study consisted of 246 nurses (77.6%) who worked in the COVID-19 clinics with personal protective equipment. We used a questionnaire to determine thermal comfort of nurses; a follow-up form to determine the factors affecting thermal comfort; and the ASHRAE Thermal Sensation Scale. Four measurements and follow-ups were made three times.Results: More than half of nurses complained of ambient temperature and ventilation, one-third complained of humidity and nearly half complained of poor air quality.The mean thermal comfort score of nurses working in COVID-19 clinics was 1.19 (SD = 0.75). The thermal comfort of the nurses was negatively affected in all measurements except before wearing personal protective equipment. The highest scores were measured leaving the patient room and before removing personal protective equipment (M = 2.65, SD = 0.58). Conclusion:The thermal comfort, work performance and stress levels of the nurses were negatively affected by working with personal protective equipment. This study reveals the necessity of improving the working conditions of nurses, including working hours, environment and personal protective equipment.