Risk factors for COVID-19 incidence and mortality in patients on maintenance hemodialysis

Patients on maintenance hemodialysis (MHD) are highly susceptible to SARS-CoV-2 and with high mortality rates due to Coronavirus disease 2019, mainly because of the older age in this group of patients, comorbidities, compromised immune status due to uremia, as well as inability to keep social isolation because of the necessity for regular physical presence in dialysis facility. Several retrospective studies of patients on MHD in Europe, America and Asia, show high susceptibility to SARS-CoV-2 in this group of patients with very high rates of critical course of the disease and high mortality rates, reaching more than 40% The aim of this retrospective observational study was to identify risk factors among patients on intermittent hemodialysis for infection with SARS-CoV-2 as well as predictors of severe COVID-19 and fatal outcome. Materials and methods. We analyzed 69 patients receiving intermittent dialysis in Aleksandrovska University Hospital - Hemodialysis Unit. 34 of them have been tested positive for SARS-CoV-2 in the period from September 2020 (when the first case of the disease was registered for our dialysis center) up to March 2022, and are compared with a control group of 35 dialysis-dependent patients without COVID-19. Data about comorbidities, main laboratory and radiologic findings, need of hospitalization and treatment in ICU, as well as data for conducted treatment, are collected from electronic medical records. To identify predictors of severe COVID and poor outcome we compared the group of survivors with the one of non-survivors. Results. There are no significant differences between patients on MHD with and without COVID-19 except higher frequency of COPD and hypoproteinemia in the positive group. Older age, female gender, history of smoking, lymphopenia with neutrophilia, treatment in ICU and need of mechanical ventilation, signs of malnutrition - hypoproteinemia and lower levels of serum creatinine, are risk factors for severe disease and fatal outcomes. Conclusions. The course of COVID infection in dialysis-dependent patients is severe and with high mortality rate, in line with other studies worldwide. Malnutrition is the main risk factor for COVID and also main predictor for poor outcomes.

A serum interleukin-6-based analysis of patients with nasopharyngeal swab reverse-transcriptase polymerase chain reaction negative for SARS-CoV-2 infection with CO-RADS 4 and 5 on computed tomography of the chest

Background: Serum interleukin 6 (IL-6) levels have been studied in the diagnostic evaluation of patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease (COVID-19). Methods: We studied the utility of treatment with tocilizumab in COVID-19 patients (n=19) with a negative nasopharyngeal swab real time reverse transcriptase polymerase chain reaction (RT-PCR) test for SARS-CoV-2 who had suggestive computed tomography (CT) findings, namely, COVID-19 Reporting and Data System (CO-RADS) 4,5. Results: Receiver operator characteristic (ROC) curve analysis showed that serum IL 6 at a cut-off of >56.9 pg/L was a predictor of mortality in nasopharyngeal swab RT-PCR negative patients with suggestive CT findings. Tocilizumab had no significant effect on the mortality. Conclusions: In nasopharyngeal swab RT-PCR negative patients with suggestive chest CT findings, elevated serum IL-6 levels > 56.9 pg/L predicted mortality. However, treatment with tocilizumab had no effect on mortality.

The effect of circulating cytokines on cardiovascular patients infected with the Coronavirus

The coronavirus illness (COVID-19) is caused by serious acute respiratory disorder coronavirus 2 (SARS-CoV-2), moreover known as the COVID-19 virus. After the first-ever reports of COVID-19 in December 2019, the malady spread quickly. In January 2020, the WHO announced the outbreak a Public Health Emergency of Worldwide Concern, and by March 2020, the WHO characterized the episode as a global widespread . The current study aimed to detect the effect of SARS-CoV-2 infection in heart patients and study their immune response by detecting the levels of some cytokines, which may end in a cytokine storm and may lead to death. In this study, one hundred-eight subjects were enrolled on two comparison case-control groups, the case group included 54 patients suffering from SARS-COV2, all were selected from those who were admitted to the Intensive Care Unit (ICU), and were diagnosed by a specialist physician with severe acute respiratory syndrome due to SARS-COV2 documented by Real-Time Polymerase Chain Reaction( RT-PCR ) besides other clinical and laboratory criteria in Marjan Medical City in Babylon province, AL-Amal Hospital for Communicable Diseases and AL-Hakeem Hospital, Najaf/Iraq, for a period from March 2022 to October 2022 to evaluate the role of some selected serological among patients with SARA-COV2 . The control group in this study included 54 subjects, divided into three groups (Apparent Healthy, patients suffered from SARS-COV2, patients suffered from CVD). Blood samples were examined through immunological methods, and an enzyme-linked immunosorbent assay (ELISA) was adopted for the detection of the concentration of TNF-alpha, IL6, IL-10,1L-12 and CCL2 .The immunological evaluation to clarify the theory of cytokines storm carried in the present study revealed that (TNF-alpha, IL6, IL-10,1L-12, and CCL2) for patients with COVID-19 and CVD was significantly higher than all the comparison group. The study reported that interleukin (6, 10, 12) and TNF-a are significantly increased in patients with covid19, CVD, and COVID-19 patients only, compared to healthy people. furthermore, IL-6 and IL-12 levels increased in patients with CVD only when compared to healthy people. There is a significant increase in CCL2 in all study groups compared to healthy people who have lower levels and this study indicated that the infection with Covid disease was severe and critical in most patients with CVD. This increased the number of deaths among them.Copyright © 2021 Muslim OT et al.

81st Annual Academic Sessions of the Galle Medical Association, Galle, Sri Lanka, 13-14 October 2022

This journal issue includes s of papers presented at the conference. Topics discussed are: sleeping characteristics among primary school children in Gampaha District, Sri Lanka;cosmetic effects of post thyroidectomy scar and evaluation of patient satisfaction;post-vaccination symptoms of COVID-19 vaccines among adults in Galle;multiple chest trauma in a victim of road traffic collision;anatomical variations of renal vein in a group of Sri Lankan cadavers;hospital acquired infections among patients in Intensive Care Units in Teaching Hospital, Karapitiya;serum Vitamin D level among 1 to 5-year-old children in Galle Municipality and Bope Poddala MOH area.

Frequency of SARS-CoV-2 infection in hemodialysis patients

Patients with end-stage chronic kidney disease treated with hemodialysis are at risk of infection and severe course of the new coronavirus infection. This opinion was based on the data obtained as a result of PCR testing during the active phase of the disease with detailed clinical symptoms. However, this diagnostic method does not allow one to fully assess the prevalence of infection in the population. The aim - studying of the frequency of SARS-CoV-2 infection in patients receiving hemodialysis treatment and the spectrum of antiviral antibodies, depending on the nature of the course of COVID-19. Material and methods. 100 patients with chronic kidney disease (stage 5D) treated at the outpatient Dialysis Center (MCVTP) were included in the study by a simple random sample. The assessment of SARS-CoV-2 infection was carried out by analyzing the material of smears obtained from the naso-oropharynx by PCR and blood serum samples by ELISA. The study excluded 14 patients with dubious results for the determination of serological markers SARS-CoV-2 and 1 patient with active infection, who was isolated from the RNA of the virus. Results. IgM and IgG antibodies were detected in 49 (57.6%) of the 85 examined patients. 24 of them (group 1) were diagnosed with COVID-19 infection with typical clinical symptoms 3-9 months ago, and 25 (group 2) had no clinical manifestations of the acute respiratory infection at the appropriate time suggesting an asymptomatic course of the disease. IgM class antibodies were detected with equal frequency in group 1 and in group 2 (33.3 vs 24.0%, respectively, p<0.6). IgG antibodies exclusively to the nucleocapsid N-protein (IgGn) were detected only in the latent form of the disease (32%), while antibodies against the S-protein (spike protein) of the virus (IgGs and IgGn+s) were detected more often in the manifest form compared to the asymptomatic one (100 vs 60%, respectively, p<0.05). Conclusion. In a random cohort of patient receiving hemodialysis treatment, more than half were asymptomatic.Despite a wide range of prevention measures, SARS-CoV-2 infection among patients treated with hemodialysis is more than 2 times higher than in the general population.Copyright © 2021 Geotar Media Publishing Group. All rights reserved.

Outcomes, risk factors, and incidence of acute kidney injury in hospitalized COVID-19 patients

Background: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV2) is the virus causing Coronavirus Disease 2019 (COVID-19). Apart from respiratory disease, this virus can affect different organs. Objectives: Therefore, multiple mechanisms have been hypothesized for Acute Kidney Injury (AKI) in COVID-19. In this study, we evaluate the incidence and prognosis of AKI in COVID-19 patients. Methods: This retrospective cohort study assessed 397 COVID-19 patients hospitalized between April 1, 2020, and September 30, 2021. Patients with a sudden rise of serum creatinine level, more than 0.3 mg/dl in two days or more than 50% of the initial level in one week, were diagnosed with AKI. Demographic, laboratory, and clinical features were compared in AKI patients with patients without AKI. Results: A total of 397 patients with a mean age +or- standard deviation of 55.42 +or- 15.26 years were included in the study. According to diagnostic criteria, 48 (12.1%) patients developed AKI. Old age, a history of hypertension, and chronic renal failure were suggested as risk factors for AKI. High levels of C-Reactive Protein, Erythrocyte Sedimentation Rate, Lactate Dehydrogenase, D-dimer, and serum phosphorus upon arrival were also associated with an increased risk of AKI. In addition, the incidence of hypernatremia and hyperkalemia increased mortality in patients with AKI. Conclusion: The incidence of AKI in admitted COVID-19 patients affects the duration of hospitalization, the chance of ICU admission, and mortality. It is important to limit the use of nephrotoxic drugs and to maintain water-electrolyte balance to prevent the incidence of AKI and improve the outcome.

Prognostic criteria for the development of severe clinical forms of COVID-19 in medical organization workers

Employees of medical organizations are one of the risk groups for infection with a new coronavirus infection (COVID-19), including with the development of severe clinical forms. The aim of the study was to analyze the clinical manifestations of a new coronavirus infection in medical workers with the determination of laboratory markers for the development of severe COVID-19. Material and methods. The study included 186 medical workers who had COVID-19 in 2020. In 67 people (observation group), the disease occurred in the form of pneumonia, in 119 people (comparison group) - acute respiratory infection caused by SARS-CoV-2. In the acute period of the disease, a laboratory examination was carried out: a general clinical blood test, CD-typing of lymphocyte subpopulations, assessment of biochemical parameters, determination of parameters of the hemostasis system and cytokine levels. Using the binary logistic regression method, we have built multifactor models. To determine the threshold values of the indicators, we used ROC analysis. Statistical processing of materials was carried out using Microsoft Office 2016 and IBM SPSS Statistics (version 26). The differences were considered statistically significant at p<0.05. Results and discussion. The most frequent clinical manifestations of COVID-19 were: weakness, fever, myalgia, arthralgia, difficulty in nasal breathing, serous-mucous discharge from the nose, sore throat, cough, feeling of "tightness" in the chest, shortness of breath, headache, pain in the eyeballs, dizziness, anosmia, ageusia and dyspeptic manifestations in the form of diarrhea, nausea or vomiting. Markers associated with the development of severe pneumonia associated with COVID-19 have been identified. Threshold values of laboratory parameters for predicting the severe course of COVID-19 were determined: the number of platelets (less than 239x109/l), lymphocytes (less than 1.955x109/l), cytotoxic T-lymphocytes (less than 0.455x109/l), T-helper cells (less than 0.855x109/l), NK-cells (less than 0.205x109/l), ESR (more than 11.5 mm/h), LDH (more than 196 units/l), total protein (less than 71.55 g/l), D-dimer (more than 0.325 mcg/ml), CRP (more than 4.17 mg/l), IL-6 (more than 3.63 pg/l). Conclusion. The data obtained make it possible to predict the possibility of developing a severe variant of the COVID-19 course.Copyright © 2022 Infectious Diseases: News, Opinions, Training. All rights reserved.

COVID-19 and androgenic status: testosterone or dihydrotestosterone have a pivotal role?

The aim of our study is analysis of the androgenic status including testosterone (T) and dihydrotestosterone (DHT) in men hospitalized with coronavirus disease 2019 (COVID-19) and them relationship with the course of the disease. This is a monocentric prospective study performed on 125 male patients hospitalized for COVID-19. We conducted hematological examination, blood biochemical profile, hemostasis analysis and hormonal examination (T and DHT levels) lung and chest computed tomography and also assessed outcomes of hospitalization. Low DHT serum level was found only in 18 patients (14.4%). Subjects with low DHT were significantly older compare to subjects with normal DHT. At the same time in patients with normal DHT white blood cells (WBC) count, neutrophils at admission were higher than in patients with low DHT. No correlation was observed between T and DHT serum blood levels. C-reactive protein (CRP) has a weak positive correlation of DHT serum blood concentration (r = 0.22;p = 0.016). The inverse pattern was obtained for T serum blood concentration (r = -0.285;p = 0.001). After divided all males according to T concentrations we conducted next correlation analysis for DHT and CRP in two different groups: with normal T levels and with low T levels. We found that in males with normal T DHT levels are not correlated with CRP (r = 0.095;p = 0.462). However, in males with low T DHT and CRP had weak positive correlation with r = 0.317 (p = 0.012). Higher DHT concentrations are associated with higher CRP levels, however correlation is weak and in patients with normal T is absent, that may indicate anti-inflammatory effect of T and possible proinflammatory effect of DHT.Copyright © 2023 The Author(s).

evaluation of hematological abnormalities in subjects vaccinated with bnt162b2 in a longitudinal cohort of the coRe study

Background: Vaccination is considered the most effective preventive strategy to fight COVID-19. The aim of this study was to evaluate two critical concerns about: 1) the kinetic response of IgG and IgM, and: 2) the hematological abnormalities in a longitudinal cohort of health-care workers (HCW) who had received 2 doses of BNT162b2 mRNA-based vaccine. Method(s): Blood and nasopharyngeal swabs were collected from 46 volunteers' participants, previous written consensus, with presumable no symptoms of COVID-19. Anti-SARS-CoV-2 serum immunoglobulin G (IgG) and M (IgM) and hematological parameters were examined. Multivariable mixed-effects models for repeated measure analysis were adopted to evaluate time changes in IgG, IgM and hematological parameters, and to investigate associations with vaccination response. Result(s): Forty-six subjects (N.=46;31.8% men;68.2% women;mean age near 36 years-old) were enrolled among healthcare workers of IRCCS MultiMedica (Milan, Italy). Overall, increase in serological IgG concentration appeared mainly between 21-28 days after the 1st dose, whereas IgM did not reach positivity in all cases. Mean blood cells counts were in normal range but we observed a significant reduction of total white blood cells and absolute lymphocyte counts after the 1st dose, persisting until the day 28. The increase of monocytes and neutrophils the day after the 1st dose subsequently decayed significantly. Eosinophils concentration showed a tendency to increase over time. Peripheral blood smear showed a growing frequency of atypical lymphocytes (lympho-variants), and of plasmacytoid forms, whereas no difference was found in large granular lymphocytes (LGL), although a decay after the boost was evident. The stratification of subjects, relative to the timing of IgG increase, showed the occurrence of 3 different patterns after vaccination, namely early-responders (R+), late-responders (R-) and pauci-responders (PR) with a peculiar kinetics of hematological parameters. Lymphocytes were significantly associated with total IgG: lower in R+ and PR compared to R- (P=0.0193 and P=00054, respectively). Conclusion(s): In healthy subjects, anti SARS-CoV-2 vaccination induced a variety of non-pathologic abnormalities. The response to vaccination was not equal in the groups examined. In PR group a major difference occurred with respect to R- and R+. This work adds novel insight into the puzzle of changes induced by SARS-CoV-2 virus.Copyright © 2022 EDIZIONI MINERVA MEDICA.

4C Mortality Score and high-flow nasal oxygen therapy outcome in COVID-19

Background: High-flow nasal oxygen therapy (HFNO) is an established treatment for acute hypoxemic respiratory failure due to COVID-19. However, sometimes this treatment fails to prevent the need for invasive ventilation or evade death. A proposed tool to predict in-hospital mortality in patients with COVID-19 is the 4C Mortality score. Aim(s): To assess the factors related to HFNO failure in patients admitted to ICU for COVID-19. Method(s): In a retrospective analysis of 118 patients treated with HFNO after the failure of conventional oxygen therapy, HFNO failure was defined as either death or the need for invasive or non-invasive ventilation. In all patients, routine blood gases and biochemical blood analyses were performed. The 4C Mortality Score was recorded at admission, taking into account age, sex, number of comorbidities, initial respiratory rate and oxygen saturation, Glasgow coma scale, and levels of urea and C-reactive protein. Result(s): The mean age of the cohort was 59.5+/-1.2 years and mean BMI 32.5+/-6.1 kg/m2;73 (62%) patients were men. In 43 patients (36%), HFNO treatment failed. Patients in whom HFNO failed were older (62.7+/-12.6 vs 57.7+/-13.1 years, P=0.043), had lower PaO2/FiO2 index before HFNO initiation 83.1+/-29.9 vs 114.2+/-62.3, P=0.003), lower ROX index after 48 hours of HFNO treatment (5.7+/-2.4 vs 8.6+/-3.3, P<0.001), and higher 4C Mortality Score (11.1+/-3.2 vs 9.5+/-3.6, P=0.017). One point increase of the 4C score increased 1.15-times the risk of HFNO failure (95%CI: 1.02-1.28, P=0.02). Conclusion(s): A complex mortality predictor used in hospitalised COVID-19 patients was associated with HFNO failure besides the baseline severity of the respiratory failure.

A virtual reality platform for training in the management of acute respiratory diseases

Introduction: During the COVID-19 pandemic, alternatives to face-to-face teaching were on the urge. What's more, in the context of the respiratory support of COVID patients, the training and capacitation of personnel capable of taking care of these patients was critical. Aims and objectives: Develop a Virtual Reality (VR) app for remote training of medical staff in the management of different acute respiratory diseases, including COVID-19. Method(s): Pulmonologists and software developers designed an app based on a virtual hospital using VR glasses. The teacher programs different clinical scenarios, where the student can converse with the patient and explore him, observing the respiratory mechanics and the skin coloration, auscultating different noises in various cardiac and pulmonary foci, edema in the lower extremities, etc. The student can request different tests (blood analysis, radiography, etc.) and prescribe treatment, including oxygen therapy and respiratory support. The clinical situation of the patient can change during the simulation. Result(s): Different acute respiratory diseases were successfully simulated, with a correct interaction between the student and the teacher. Conclusion(s): VR can be used as a tool for the remote training of medical staff, and provide high fidelity simulations for training in a wide variety of clinical situations.

A new case of myasthenia gravis following COVID-19 Vaccination

Background: Myasthenia gravis (MG) is an autoimmune disease of unknown etiology. Infections are known as a major cause of MG exacerbations. A few studies have shown an association between new onset MG and SARS-CoV-2 infection. Case presentation: We have reported a case of new onset myasthenia gravis in a 68-year-old man presented with bulbar symptoms a few days after receiving COVID-19 vaccine (Sinopharm vaccine). The disease was confirmed by high titer of antibody against acetylcholine receptor and electrophysiological examinations. Conclusion(s): Among the adverse effects reported with the COVID-19 vaccine, new onset myasthenia gravis is very rare. The underlying mechanism is unknown but the immune response after vaccination and molecular mimicry theory has been proposed.Copyright © 2022

Critical evaluation of haematological and biomarker variation in COVID -19 patients - a prospective study in level 2 tertiary care hospital (Lucknow West)

Background: In India, the first case of COVID-19 was reported on January 30, 2020. The case reporting is based on the testing of individuals by Real-time Reverse Transcription- Polymerase Chain Reaction (RT-qPCR). The present study was conducted to evaluatedifferent parameters, Haematological and Biomarker variations in patients with SARS-CoV2 Infection to assess the prognostic significance. Material & Methods: The present prospective study was conducted among 70 patients who were diagnosed with COVID-19 infection. Relavant physical examination and clinical data of the patient and routine blood investigations including, CBC, serum biochemistry, coagulation function and measurement of inflammatory markers were performed. The results were analyzed by using a SPSS Statistics software version 25.0. Results: In the present study total patients were 70 out of which 58.6% were males and 41.4% were females. Maximum subjects belong to age group 61-80 yrs (47.1%). Mean haemoglobin was 12.89g/l, mean platelet was 9.96x103/l. Mean neutrophil were 88.21%, mean lymphocyte were 8.84%, mean eosinophil were 1.47%, mean monocyte was 1.59%, mean TLC was 12007.14/l. Mean random blood sugar was 148.09 mg/dl. Mean D-dimer was 0.56. Mean CRP levels were 65.5 mg/l. Mean LDH was 516.03 IU/L, mean IL-6 was 282.6pg/ml, and mean procalcitonin was 0.8 ng/ml. Mean SGOT was 62.36u/l, mean ALP was 171.87IU/L, mean urea levels were 57.10 mg/dl and mean INR was 1.22. Outcome mortality was present in total 14 subjects (5 were male and 9 were female) out of all 70 subjects. Conclusion: The present study concluded that Mean values of neutrophil, eosinophil, TLC, random blood sugar, IL6, SGOT, ALP, urea levels and INR were increased in patients with SARS-CoV2 Infection.

An Early Detection Of NIPAH Infectious Disease Based On Integrated Medical Features For Human Using Ensemble RBM Techniques

Background: The importance of early diagnosis of a hazardous illness cannot be overstated. The transmission rate is extremely high, especially in the current pandemic condition. The ability to predict epidemics will aid public health in reducing mortality and morbidity. Machine Learning (ML) approaches are used in the construction of an effective disease prognosis model. Furthermore, only if the model learns good associated features from the data is it possible to generate a speedy outcome. As a result, selecting features is also necessary before beginning the forecasting process. Objective(s): However, because of the virus's dynamic structure, it's difficult to predict Nipah disease and/or zoonotic infection. Furthermore, there is no clinical treatment for Nipah. The major goal of this research is to develop a prognostic model for early diagnosis of Nipah disease using a combination of several clinical factors such as symptoms, disease incubation information, and routine blood test results confirmed by a lab technician.Proposed System: The healthcare application and data are more complex to handle than other ML applications since various clinical features are assessed throughout disease manifestation. As a result, selecting the most relevant variables is critical when designing a prognosis model for any viral disease. To deal with clinical features from a vast number of features, we proposed a Restricted Boltzmann Machine (RBM) method in this research. Additionally, we employed a hybrid ensemble learning method to predict if the patient was infected with NiV after choosing features using the RBM. Data Collection: The proposed system is being implemented using the NiV infection dataset that erupted in Kozhikode, Kerala in 2018 and 2019. Result(s): The developed stacking-based ensemble Meta classifier was successfully implemented using the python programming language, and its performance was evaluated using a variety of metrics includingaccuracy, precision, recall, f1-score, log loss, AUROC and MCC. Our proposed Stacking Ensemble Meta Classifier (SEMC) model achieved an accuracy rate of 88.3% with a log loss of 0.36. Model precision, recall, f1-score, AUROC, and MCC value were 92.5%, 89.2%, 90.9%, 92.1%, and 0.74 respectively. In addition, we calculated the gravitational pull of each feature using the SHAP approach and discovered that altered sensorium, fever, headache, and cough were the most critical clinical indicators that distinguished NiVD infection from our dataset. Therefore, this classification may assist the pathologist in diagnosing NiVD with symptoms before performing the RT-PCR medical test. Conclusion(s): Using our proposed SEMC technique, we developed a prognostic model for the diagnosis of Nipah in humans. The proposed technique's discriminatory efficiency exhibited good NiVD diagnosis efficacy. We anticipate that this model will aid medics in determining a prognosis more quickly during future epidemics. However, to achieve maximum accuracy, the model requires more unique samples.Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Epidemiological study and health management of an imported incident of COVID-19 asymptomatic cases in Haikou, China: a retrospective case series

Background: To control the imported risks brought by all international arrivals, China Customs has implemented strict closed-loop health management policy called "three checks, three screenings and one transfer". This study provides epidemiological evidence for prevention and control measures on imported cases of asymptomatic infections and describes the current COVID-19 prevention and control system on imported risks in China. Methods: We retrospectively analyzed an imported incident of three asymptomatic carriers. Serum SARS-CoV-2 IgM and IgG antibodies were detected by chemiluminescence and gold immnnochromatography(GICA). Results: Three cases were reported positive for SARS-CoV-2 nucleic acid on their arrival, total antibodies and IgG, but negative for IgM. The Ct values of cases A, B and C were 34/36/36, 32/33/32 and 25/31/29, respectively. There were 10726434 pair-end reads sequenced for case C, and approximate 80% reads were aligned to the hCoV-19/Wuhan/IVDC-HB-01/2019 genome (EPI_ISL_402119). The viruses of case A and C were homologous and came from the SARS-CoV-2 variant. Conclusion: Serum antibody IgM and IgG tests are recommended for international travelers from epidemic areas. The "three checks, three screenings and one transfer" policy implemented at custom's entry points was effective in COVID-19 prevention and control.

The effect of N-acetylcysteine as adjuvant therapy of hypoxemia in COVID-19 patients, assessed by interleukin-6 level and PaO2/FiO2 ratio

Background: Interleukin 6 (IL-6) is a cytokine that plays an essential role in lung damage and mortality. Arterial-to-inspired oxygen (PaO2/FiO2) ratio, also known as the Horowitz index, is a measure of hypoxemia in respiratory failure. N-Acetylcysteine (NAC) might be helpful in managing coronavirus disease 2019 (COVID-19) patients by decreasing the cytokine storm, which will lead to a decrease in disease severity. This study aims to analyze the effect of NAC as adjuvant therapy on IL-6 level and PaO2/FiO2 ratio in COVID-19 patients. Methods: This is a quasi-experimental, non-equivalent control group designed study of confirmed COVID-19 patients moderate to critical in Saiful Anwar Hospital Malang. Seventy-five patients received NAC intravenously 5000 mg/72 hours as adjuvant therapy for seven days, and 16 subjects in the control group. IL-6 level and PaO2/FiO2 ratio were measured on day one and day 8 in both groups from blood samples. Wilcoxon, Mann-Whitney U Test, and Pearson correlation were conducted for statistical analysis. Results: The decrease in IL-6 level on days 1 to 8 in the NAC group is significantly lower (94.49+or-253.51) than in the control group (P=0.002). The increase in PaO2/FiO2 ratio from day 1 to day 8 in the NAC group is significantly improving (126.94+or-76.05), the same as the control group (P < 0.001). There is a weak correlation between IL-6 level and PaO2/FiO2 ratio after administration of NAC (r=0.154, P=0.186). Conclusion: There is a significant decrease in IL-6 level after administration of NAC. NAC has no significant effect on hypoxemia in COVID-19 patients.

Inferior vena cava and pulmonary artery diameters for prognosis of Coronavirus disease Pulmonary vascular diameters in Coronavirus disease

Aim: In this study, we aimed to analyze the relationship between pulmonary artery (PA) and inferior vena cava (IVC) diameters in non-contrast chest computerized tomography (CT) images of patients with coronavirus disease 2019 (COVID-19) and overall survival. Material(s) and Method(s): This retrospective study consisted of 404 consecutive patients who underwent chest CT after admission to the emergency department between May 1 and June 31, 2021. CT measurements were performed by two radiologists. The prognostic value of PA and IVC diameters, the computerized tomography severity score (CT-SS), quick sequential organ failure assessment (qSOFA), and confusion, urea, respiratory rate, blood pressure, and age >=65 years (CURB-65) score on overall survival were examined. Result(s): The median age of the participants was 62 years (49-72), and 196 (48.5%) were male. Of the 404 patients, 61 died after admission. While main-PA, left-PA, right-PA (p < 0.001) and IVC-transverse (IVC-Tr) (p = 0.045) diameters were larger and statistically significant in the patients who died (AUC;0.686, 0.722, 0.746, and 0.581, respectively), a statistically significant difference was not detected in terms of IVC anteroposterior diameter (IVC-AP) (p = 0.053) and the IVC-Tr/AP (p = 0.754) ratio. There was a statistical difference in mortality in qSOFA, CURB-65, and CT-SS values (AUC;0.727, 0.798, and 0.708 p < 0.001, respectively). Discussion(s): PA diameters measured from chest CT images at admission (main-PA >= 26.5 mm, right-PA >= 22.9 mm, and left-PA >= 21.6 mm) and the IVC-Tr diameter (>=34.5 mm) can be used as mortality predictors for COVID-19, along with other prognostic scores.Copyright © 2022, Derman Medical Publishing. All rights reserved.

Molecularly imprinted polymer-modified carbon paste electrodes (MIP-CPE): A review on sensitive electrochemical sensors for pharmaceutical determinations

Recent years have been associated with the development of various sensor-based technologies in response to the undeniable need for the rapid and precise analysis of an immense variety of pharmaceuticals. In this regard, special attention has been paid to the design and fabrication of sensing platforms based on electrochemical detection methods as they can offer many advantages, such as portability, ease of use, relatively cheap instruments, and fast response times. Carbon paste electrodes (CPEs) are among the most promising conductive electrodes due to their beneficial properties, including ease of electrode modification, facile surface renewability, low background currents, and the ability to modify with different analytes. However, their widespread use is affected by the lack of sufficient selectivity of CPEs. Molecularly imprinted polymers (MIPs) composed of tailor-made cavities for specific target molecules are appealing complementary additives that can overcome this limitation. Accordingly, adding MIP to the carbon paste matrix can contribute to the required selectivity of sensing platforms. This review aims to present a categorized report on the recent research and the outcomes in the combinatory fields of MIPs and CPEs for determining pharmaceuticals in complex and simple matrices. CPEs modified with MIPs of various pharmaceutical compounds, including analgesic drugs, antibiotics, antivirals, cardiovascular drugs, as well as therapeutic agents affecting the central nervous system (CNS), will be addressed in detail.Copyright © 2023 Elsevier B.V.

Clinical effects and mortality of farilty in geriatric COVID19 patients

Aim: During the first episodes of COVID-19 pandemic mostly affected population is elderly, but data about possible effects of the geriatric syndromes on clinical course and mortality are still conflicting. Method(s): Between April-June 2020 patients aged over 60 years, newly diagnosed as COVID-19 with a positive PCR test and need for hospitalization (ward or ICU) were prospectively enrolled to study. Demographics, whole blood analysis and laboratory results at the admission, computerized tomography findings, stage of the disease, need of oxygen, mechanical ventilation and intensive care unit were recorded. All patients were evaluated with a survey for sarcopenia, frailty and insufficient nutrutional status. Result(s): 65 patients were enrolled to study %41 (n:27) were females and the mean age was 69+/-8,4. Demographics were similiar in both gender, mean hospital stay was 9,2+/-4,3days. Respectively number of patients with frail, prefrail, risk of sarkopenia and insufficient nutrition were 6(%9,2), 16(%24,6), 7 (%10,8), 5 (%7,7). Advance age (>70 years) was a risk factor frailty (p>0,001). Risk factors for mortality advanced age (p<0.041), frail-prefrail (p<0,0042) chronic renal failure(p<0.001), arrhythmia (p<0.045), need of ICU (p<0.001), need of noninvasive mechanical ventilator (NIMV) (p<0.001) and intubation (p<0.002) Conclusion(s): Advanced age is highly correlated with frailty. Sarkopenia and insufficient nutritional status were also commonly with frailty. Comorbidities, need of ICU, NIMV and intubation were risk factors for mortality and common in prefrail patients. Not only frail but prefrail COVID-19 patients should follow up closely during hospitalization.