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2.
Intern Emerg Med ; 17(5): 1413-1424, 2022 08.
Article in English | MEDLINE | ID: covidwho-1942870

ABSTRACT

One of the most helpful strategies to deal with ongoing coronavirus pandemics is to use some prudence when treating patients infected with SARS-CoV-2. We aimed to evaluate the clinical, demographic, and laboratory parameters that might have predictive value for in-hospital mortality and the need for intensive care and build a model based on them. This study was a prospective, observational, single-center study including non-critical patients admitted to COVID-19 wards. Besides classical clinic-demographic features, basic laboratory parameters obtained on admission were tested, and then new models for each outcome were developed built on the most significant variables. Receiver operating characteristics (ROC) analyses were performed by calculating each model's probability. A total of 368 non-critical hospitalized patients were recruited, the need for ICU care was observed in 70 patients (19%). The total number of patients who died in either ICU or wards was 39 (10.6%). The first two models (based on clinical features and demographics) were developed to predict ICU and death, respectively; older age, male sex, active cancer, and low baseline saturation were noted to be independent predictors. The area under the curve values of the first two models were noted 0.878 and 0.882 (p < .001; confidence interval [CI] 95% [0.837-0.919], p < .001; CI 95% [0.844-0.922]). Following two models, the third and fourth were based on laboratory parameters with clinic-demographic features. Initial lower sodium and lower albumin levels were determined as independent factors in predicting the need for ICU care; higher blood urea nitrogen and lower albumin were independent factors in predicting in-hospital mortality. The area under the curve values of the third and fourth model was noted 0.938 and 0.929, respectively (p < .001; CI 95% [0.912-0.965], p < .001; CI 95% [0.895-962]). By integrating the widely available blood tests results with simple clinic demographic data, non-critical patients can be stratified according to their risk level. Such stratification is essential to filter the patients' non-critical underlying diseases and conditions that can obfuscate the physician's predictive capacity.


Subject(s)
COVID-19 , Critical Care , Hospital Mortality , Albumins , COVID-19/mortality , COVID-19/therapy , Critical Care/methods , Humans , Intensive Care Units , Male , Prospective Studies , Retrospective Studies , SARS-CoV-2
4.
Nutrition ; 90: 111308, 2021 10.
Article in English | MEDLINE | ID: covidwho-1263353

ABSTRACT

The global pandemic of COVID-19 has been lasting for more than one year and there is little known about the long-term health effects of the disease. Long-COVID is a new term that is used to describe the enduring symptoms of COVID-19 survivors. Huang et al. reported that fatigue, muscle weakness, sleep disturbances, anxiety, and depression were the most common complaints in COVID-19 survivors after 6 months of the infection. A recent meta-analysis showed that 80% of COVID-19 survivors have developed at least one long-term symptom and the most common five were fatigue, headache, attention deficit disorder, hair loss, and dyspnea. In this paper, we discuss the hypothesis that altered tryptophan absorption and metabolism could be the main contributor to the long-term symptoms in COVID-19 survivors.


Subject(s)
COVID-19 , COVID-19/complications , Humans , SARS-CoV-2 , Survivors , Tryptophan , Post-Acute COVID-19 Syndrome
5.
Int J Qual Health Care ; 33(1)2021 Feb 20.
Article in English | MEDLINE | ID: covidwho-1093544

ABSTRACT

BACKGROUND: The 30-day readmission rate is an important indicator of patient safety and hospital's quality performance. In this study, we aimed to find out the 30-day readmission rate of mild and moderate severity coronavirus disease of 2019 (COVID-19) patients discharged from a tertiary care university hospital and to demonstrate the possible factors associated with readmission. METHODS: This is an observational, single-center study. Epidemiological and clinical data of patients who were hospitalized with a diagnosis of COVID-19 were retrieved from a research database where patient information was recorded prospectively. Readmission data were sought from the hospital information management system and the National Health Information System to detect if the patients were readmitted to any hospital within 30 days of discharge. Adult patients (≥18 years old) hospitalized in COVID-19 wards with a diagnosis of mild or moderate COVID-19 between 20 March 2020 (when the first case was admitted to our hospital) and 26 April 2020 were included. RESULTS: From 26 March to 1 May, there were 154 mild or moderate severity (non-critical) COVID-19 patients discharged from COVID-19 wards, of which 11 (7.1%) were readmitted. The median time of readmission was 8.1 days (interquartile range [IQR] = 5.2). Two patients (18.1%) were categorized to have mild disease and the remaining 9 (81.9%) as moderate disease. Two patients who were over 65 years of age and had metastatic cancers and hypertension developed sepsis and died in the hospital during the readmission episode. Malignancy (18.7% vs. 2.1%, P = 0.04) and hypertension (45.5% vs. 14%, P = 0.02) were more common in those who were readmitted. CONCLUSIONS: This is one of the first studies to report on 30-day readmission rate of COVID-19 in the literature. More comprehensive studies are needed to reveal the causes and predictors of COVID-19 readmissions.


Subject(s)
COVID-19/epidemiology , Patient Readmission/statistics & numerical data , Adult , Aged , COVID-19/mortality , Female , Hospitals, University , Humans , Male , Middle Aged , Pandemics , Quality Indicators, Health Care , SARS-CoV-2 , Tertiary Healthcare , Turkey/epidemiology
6.
7.
Intern Med J ; 50(11): 1350-1358, 2020 11.
Article in English | MEDLINE | ID: covidwho-810874

ABSTRACT

BACKGROUND: Internists who have an important role in the global response to the COVID-19 pandemic are under both physical and psychological pressures. AIMS: To assess the anxiety among physicians working in the internal medicine department of a tertiary care hospital who are on the frontline of the COVID-19 pandemic. METHODS: This single-centre, non-intervention, cross-sectional descriptive study was conducted using an online survey questionnaire from 1 April to 14 April 2020. Physicians of the Department of Internal Medicine were invited to participate with a self-administered questionnaire. The degree of symptoms of anxiety was assessed by the Turkish versions of the 7-item Generalised Anxiety Disorder scale and Beck Anxiety Inventory, respectively. RESULTS: A total of 113 participants consented for the study and completed the questionnaire. The median age was 29 (IQR = 5) years and 53.1% were male. A total of 72 internists (63.7%) worked as 'frontline' healthcare workers directly engaged in diagnosing, treating or caring for patients with or suspected to have COVID-19. Female gender was significantly associated with high scores and levels in all scales compared to the male gender (P < 0.005). Having family members over 65 years old and with chronic diseases were significantly associated with high anxiety scores and levels (P < 0.005). CONCLUSIONS: In this survey of internists in a university hospital equipped with clinics, wards and intensive care unit for patients with COVID-19, female gender and having family members over 65 years old and with chronic diseases were associated with increased anxiety levels.


Subject(s)
Anxiety/etiology , COVID-19/psychology , Mental Health , Physicians/psychology , Adult , Anxiety Disorders , Cross-Sectional Studies , Family , Female , Humans , Internal Medicine , Male , Sex Factors , Stress, Psychological , Surveys and Questionnaires , Tertiary Care Centers , Turkey
8.
J Infect Dev Ctries ; 14(8): 844-846, 2020 Aug 31.
Article in English | MEDLINE | ID: covidwho-750604

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China, on Jan 7, 2020. Over the following months, the virus rapidly spread throughout the world. Coronavirus Disease 2019 (COVID-19) can involve the gastrointestinal tract, including symptoms like nausea, vomiting and diarrhea and shedding of the SARS-CoV-2 in feces. Angiotensin-converting enzyme 2 (ACE2) protein, which has been proven to be a cell receptor for SARS-CoV-2, is expressed in the glandular cells of gastric, duodenal, and rectal epithelia, supporting the entry of SARS-CoV-2 into the host cells. According to the literature, rates of COVID-19 patients reporting diarrhea were between 7 - 14%. Diarrhea in the course of COVID-19 disease can cause dehydration and hospitalization. Although no antiviral drug was specifically designed for the treatment of diarrhea, several molecules could have beneficial effects by reducing viral replication. In this letter, we discussed the Levamisole, which is an anthelmintic agent with immunomodulatory effects, could be used effectively both for antiviral therapy and especially in COVID-19 patients with diarrhea.


Subject(s)
Betacoronavirus , Coronavirus Infections/drug therapy , Diarrhea/drug therapy , Immunologic Factors/therapeutic use , Levamisole/therapeutic use , Pneumonia, Viral/drug therapy , COVID-19 , Coronavirus Infections/complications , Humans , Pandemics , Pneumonia, Viral/complications , SARS-CoV-2 , COVID-19 Drug Treatment
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