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Introduction This study aimed to determine the prevalence of multidrug-resistant Gram-negative bacteria (GNB) from blood cultures in a tertiary-care hospital and the multiplex PCR assay's ability to detect resistance genes. Methods A total of 388 GNB isolates obtained from hospitalized patients between November 2019 and November 2021 were included in the study. Antimicrobial susceptibility testing was done by VITEK 2 system and broth microdilution method. Beta-lactamase-encoding genes were detected by multiplex PCR assays, BioFire-Blood Culture Identification 2 (BCID2) panel (bioMerieux, France). Extended-spectrum beta-lactamases (ESBLs) were detected phenotypically with VITEK AST-GN71 card (bioMerieux, France). The isolates of GNB were classified into multidrug-resistant, extensively-drug-resistant, and pandrug-resistant categories, and their prevalence and distribution in different wards, including coronavirus diseases 2019 (COVID-19) intensive care units (ICU), were calculated. Results Results revealed that all isolates of Acinetobacter baumannii and Pseudomonas aeruginosa were multidrug-resistant as well as 91.6% of Enterobacter cloacae, 80.6% of Proteus mirabilis, and 76.1% of Klebsiella pneumoniae, respectively. In fermentative bacteria, blaOXA-48-like (58.1%), blaNDM (16.1%), blaKPC (9.7%) and blaVIM (6.5%) genes were detected. More than half of Enterobacter cloacae (58.3%) and Klebsiella pneumoniae (53.7%) produced ESBLs. Among non-fermenters, the blaNDM gene was carried by 55% of Pseudomonas aeruginosa and 19.5% of Acinetobacter baumannii. In the COVID-19 ICU, Acinetobacter baumannii was the most common isolate (86.1%). Conclusions This study revealed high proportions of multidrug-resistant blood isolates and various underlying resistance genes in Gram-negative strains. The BCID2 panel seems to be helpful for the detection of the most prevalent resistance genes of fermentative bacteria.Copyright © GERMS 2022.
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Objectives: Malnutrition is a prevalent condition affecting 30-50% of hospitalized patients. Malnutrition is linked to impairments in health outcomes and increased economic burden on healthcare systems. We assessed the prevalence and burden of malnutrition by examining demographic characteristics, Disease Related Group (DRG) payments and associated claims among Medicare inpatients (65+ years) with and without COVID-19. Method(s): Hospital inpatient COVID-19 claims from the Centers for Medicare & Medicaid Services (CMS) Inpatient Prospective Payment System (IPPS) between October 2020 - September 2021 were analyzed. The International Classification of Diseases, Tenth Revision, and Clinical Modification (ICD-10-CM) were used for malnutrition diagnoses. Demographic variables were compared based on the COVID-19 status;economic burden was analyzed by DRG payment of malnutrition cases with and without COVID-19. Result(s): Among 7,394,657 Medicare inpatient claims, only 12% had a documented malnutrition diagnosis. Of these patients, 1.2% had COVID-19. Regardless of COVID-19 status, malnourished patients averaged 75 years of age, and were predominantly female (54%) and White (78%) followed by Black (14%), and Hispanic (2%). Sepsis, kidney failure, and urinary tract infection (UTI) were the most common primary diagnoses in malnourished patients, regardless of COVID-19 status. Malnourished patients with COVID-19 had significantly higher DRG payments ($27,407 vs. $18,327) and increased cost of outlier payment ($3,208 vs. $2,049) compared to those without COVID-19, regardless of other diagnoses. Conclusion(s): Malnutrition diagnosis was confirmed in only 12% of the Medicare inpatients, thus suggesting that malnutrition continues to be underdiagnosed and undertreated - evidenced by high rates of hospitalizations/claims and payments in both COVID-19 and non-COVID-19 cases. It is imperative for hospitals to implement nutrition-focused protocols to identify, diagnose and address malnutrition among all Medicare inpatients regardless of COVID-19 status (and especially among patients with sepsis, kidney failure, and UTI). Nutrition-focused protocols can effectively improve patient health outcomes and reduce healthcare costs.Copyright © 2023
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Objectives: The coronavirus disease 2019 (COVID-19) pandemic has imposed significant burden on Brazil's health system. The present study aims to describe patients' demographic and clinical characteristics, vaccine uptake and assess healthcare resource utilization (HCRU) and costs associated with acute COVID-19 in Brazil during the Omicron predominant period. Method(s): A population-based retrospective study was conducted using the National Health Data Network (RNDS), National Vaccination Campaign against COVID-19 data and surveillance data in public setting. Individuals with positive COVID-19 test results between January-April 2022 were identified. Patients' demographics, comorbidities, vaccination status, HCRU for those who were admitted to hospitals and their associated costs were described by age groups. Result(s): A total of 8,160,715 COVID-19 cases were identified and 2.7% were aged <5 years, 11.6% were 5-19 years, 76.9% were 20-64 years and 8.7% were >= 65 years. The presence of comorbidity was 23.1% with a higher prevalence of comorbidities in the elderly (61.8% for 65-74 years and 71.2% for >=75 years). Regarding COVID -19 vaccination uptake, among those aged <=19 years, 20-64 years and >=65 years, 40.6%, 86.5% and 92.2% had primary series, respectively. Among adults, the booster uptake was 47.3% and 75.8% for those aged 20-64 years and >= 65 years, respectively. Among those with confirmed COVID-19, regardless of vaccination status, 87% were being symptomatic and 1.7% were hospitalized (3.8% in aged <5 years, 4.2% in 5-19 years, 34.3% in 20-64 years and 57.6% in >= 65 years). Among hospitalized patients, 32,6% were admitted to ICU and 80% required mechanical ventilation support. The average cost per day in normal wards and ICU without ventilation was R$291,89 and R$923,90, respectively. Conclusion(s): Our results quantify the public health and economic burden of COVID-19 in Brazil, suggesting substantial healthcare resources required to manage the COVID-19 pandemic.Copyright © 2023
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Objectives: This study aimed to determine disease severity, clinical features, clinical outcome in hospitalized patients with the Omicron variant and evaluate the effectiveness of one-dose, two-dose, and three-dose inactivated vaccines in reducing viral loads, disease course, ICU admissions and severe diseases. Method(s): Retrospective cohort analysis was performed on 5,170 adult patients (>=18 years) identified as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction admitted at Shanghai Medical Center for Gerontology between March 2022 and June 2022. COVID-19 vaccination effectiveness was assessed using logistic regression models evaluating the association between the risk of vaccination and clinical outcomes, adjusting for confounders. Result(s): Among 5,170 enrolled patients, the median age was 53 years, and 2,861 (55.3%) were male. 71.0% were mild COVID-19 cases, and cough (1,137 [22.0%]), fever (592 [11.5%]), sore throat (510 [9.9%]), and fatigue (334 [6.5%]) were the most common symptoms on the patient's first admission. Ct values increased generally over time and 27.1% patients experienced a high viral load (Ct value< 20) during their stay. 105(2.0%) of these patients were transferred to the intensive care unit after admission. 97.1% patients were cured or showed an improvement in symptoms and 0.9% died in hospital. The median length of hospital stay was 8.7+/-4.5 days. In multivariate logistic analysis, booster vaccination can significantly reduce ICU admissions and decrease the severity of COVID-19 outcome when compared with less doses of vaccine (OR=0.75, 95%CI, 0.62-0.91, P<=0.005;OR=0.99, 95%CI, 0.99-1.00, p<0.001). Conclusion(s): In summary, the most of patients who contracted SARSCoV-2 omicron variant had mild clinical features and patients with vaccination took less time to lower viral loads. As the COVID-19 pandemic progressed, an older and less vaccinated population was associated with higher risk for ICU admission and severe disease.Copyright © 2023
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The aim of the study is to describe a case of COVID-19 and myocardial infarction in an elderly patient. Material and methods. The analysis of medical documentation (outpatient card of the patient, medical history, postmortem report) was carried out. Studied macro- and micropreparations (staining with hematoxylin and eosin). Results. A 67-year-old patient, from 23.04.2020 to 26.04.2020, was hospitalized with a diagnosis of suspected coronavirus infection (COVID-19). On the background of the treatment, the patient's biological death occurred (26.04.2020). The sectional study revealed signs of bilateral total hemorrhagic pneumonia. The signs of acute transmural myocardial infarction of the anterior wall of the left ventricle were determined. Posthumously, SARS-CoV-2 RNA was detected in the lung tissue by nucleic acid amplification. In the described clinical case, a patient with concomitant cardiovascular diseases, such as arterial hypertension, coronary heart disease, developed complications against the background of COVID-19: hemorrhagic pneumonia and myocardial infarction with a fatal outcome.Copyright © Infectious Diseases: News, Opinions, Training.
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COVID-19 infection is characterized by different clinical presentations. The thrombotic complications play the leading role in COVID-19 infection. SARS-CoV-2 virus can activate hemostasis at different levels: pulmonary tissue damage with subsequent plasma coagulation activation;local endothelial dysfunction and platelet activation during the course of the disease. Routine use of the anticoagulation treatment seems reasonable in hospitalized patients with COVID-19.Copyright © Creative Cardiology 2021.
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Aims: At our Trust, all severe inpatient hypoglycaemic episodes in individuals with diabetes (defined as a hypoglycaemic episode requiring injectable treatment) are reported to NaDIA-Harms (National Diabetes Inpatient Audit). We conducted a detailed review of the care of all these events to improve patient safety. In this study, we assessed the risk of 12-month mortality following an episode of severe inpatient hypoglycaemia. Method(s): Reportable NaDIA harms of patients admitted during the period 2018-2022 were recorded into a dataset. Applicable patient records were reviewed at 12 months following the event to see how many patients were deceased and details of comorbidities at the time of the severe hypoglycaemic episode were collected. Result(s): To date, of 107 inpatients who experienced a severe hypoglycaemic episode 55% were deceased within 12 months. In patients admitted during the peak of the Covid-19 pandemic recorded as year April 2020/March 2021, 80% of patients who had a NaDIA hypoglycaemic event died within 12 months. Conclusion(s): Mortality rate following an episode of inpatient hypoglycaemia appears to be several-fold higher than previous reported rates of 4.45%-22.1% for community-dwelling individuals who experience a severe hypoglycaemic event. This maybe partially explained by the increased frailty, polypharmacy and multimorbidity among this cohort, but there is evidence linking hypoglycaemia with cardiovascular mortality. Although no causality between severe inpatient hypoglycaemia and death can be inferred from this study because of the observational nature, it does highlight the importance preventing inpatient episodes of hypoglycaemia through effective monitoring and proactive treatment modification.
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Objectives: Investigate the utilization of cycled antineoplastic therapies (where dosages vary per monthly supply) for various cancers among Medicare-eligible patients, and medical costs and outcomes associated with discontinuation gaps in monthly adherence. Method(s): This retrospective study used the MarketScan Supplemental and Coordination of Benefits Design databases from 2019-2020. Discontinuations were calculated for 2020 utilizing cycled medications (8 generic products) from 6 therapeutic categories, where discontinuation was defined as the first gap in medication supply during the last 6 months of the year at intervals of >=1.5*prior supply. Continuous enrollment was required, as were ICD oncology diagnosis codes for those at least 65 years of age. New to therapy/diagnosis was inferred from 2019 metric files. Patients were excluded if hospice care and inpatient transplant services were indicated. Models examined adherence level (discontinued or not) and 10 covariates (including COVID-19 indications), with interaction terms, for significant associations with medical costs (inpatient and outpatient), hospitalizations, and length of hospital stay (LOS). Result(s): Patients who met metric criteria (n=1,357;Mean age 73.9) had a discontinuation rate of 16.7%. A total of 64.0% were new to therapy/diagnosis and 5.2% were identified having COVID-19 in 2020. However, COVID-19 was not significantly correlated with a discontinuation. Hospitalization rate was at 30.3% with mean LOS=9.8. Models found significant discontinuation effects with increased total medical costs ($11,977, p<.03), odds of hospitalization (2.7, p<.0001), and LOS (5.4, p<.03). COVID-19 patients had significantly higher total medical costs ($18,145, p<.007), odds of hospitalization (6.3, p<.0001), and non-oncology LOS (4.6, p<.009). Significant covariate interactions are discussed in the poster. Conclusion(s): Medication adherence (fewer gaps in medication coverage) on cycled oral antineoplastics can lead to lower medical costs and fewer hospitalization events or LOS as compared to lower adherence levels. This was independent of COVID-19 indications that were associated with increased costs, hospitalization, and non-cancer LOS.Copyright © 2023
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Background: People living with cancer are reported to be at increased risk of hospitalization and death following infection with acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This is proposed to be dependent on a combination of intrinsic patient and cancer factors such as cancer subtype, and emerging SARS-CoV-2 variants with differing pathogenicity. However, COVID-19 phenotype evolution across the pandemic from 2020 has not yet been systematically evaluated in cancer patients. Method(s): This study is a population-scale real-world evaluation of Coronavirus outcomes in the United Kingdom for cancer patients from 1st November 2020-31st August 2022. The cancer cohort comprises individuals from Public Health England's national cancer dataset, excluding individuals less than 18 years old. Case-outcome rates, including hospitalization, intensive care and casefatality rates were used to assess the evolution in disease phenotype of COVID-19 in cancer patients. Multivariable logistic regression models were fitted to compare risk of Coronavirus outcomes in the cancer cohort relative to the non-cancer population during the Omicron wave in 2022. Result(s): The cancer cohort comprised of 198,819 positive SARS-CoV-2 tests from 127,322 individual infections. Coronavirus case-outcome rates were evaluated by reference to 18,188,573 positive tests from 15,801,004 individual infections in the non-cancer population. From 2020 to 2022, the SARS-CoV-2 disease phenotype became less severe in both patients with cancer and the non-cancer population, though cancer patients remain at higher risk. In 2022, the relative risk of Coronavirus hospital admission, inpatient hospitalization, intensive care admission and mortality in cancer patients was 3.02x, 2.10x, 2.53x and 2.54x compared to the non-cancer population following multivariable adjustment, respectively. Higher risk of hospital admission and inpatient hospitalization were associated with receipt of B/T cell antibody and/or targeted therapy which also corresponded with an increased risk of Coronavirus mortality. Conclusion(s): The disease phenotype of SARS-CoV-2 in cancer patients in 2022 has evolved significantly from the disease phenotype in 2020. Direct effects of the virus in terms of SARS-CoV-2 hospitalization, intensive care and case fatality rates have fallen significantly over time. However, relative to the general population, people living with cancer and hematological malignancies remain at elevated risk. In order to mitigate the indirect effects of the SARS-CoV-2 pandemic in terms of disruption to cancer care, there should be increased focus on preventative measures. Used in conjunction with vaccination and early treatment programs, this will maximize quality of life for those with cancer during the ongoing pandemic and ensure the best cancer outcomes.
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Background and Objectives: COVID-19 pandemic caused a lot of severe problems in the world. This study investigated the epidemiology of the disease in Tehran in the first quarter of the epidemic's beginning. Method(s): The available information recorded for patients from 20 February 2020 to 20 May 2020 in Tehran was used. To prepare disease-related distribution maps, the addresses of patients' residences in Google Earth were called to ARC-GIS version 10-4. The methods used in GIS include IDW, Hotspot and also software development. Result(s): Overall, 3699 individuals whose PCR results were positive in Tehran were included in the study. Out of the total number of them, 550 people died and the fatality rate of the disease in hospitalized patients was 14.9%. One thousand five hundred thirty patients (41.4%) have recovered, and the remaining 1619 patients were under treatment until data collection. Of the total, 1479 confirmed cases were women (40%). The average age was 57.4 years (SD=16.5). The density of cases in areas 4, 8 and 13, and the existence of some cluster diseases in neighborhoods such as Tehran Pars, Ayat and Pirouzi streets are noteworthy points. Conclusion(s): The trend of the COVID-19 epidemic is dire and requires long-term measures. Nevertheless, to control this disease, the health system, the policy of isolating patients and suspicious people, wear masks especially in densely populated areas, are the most important controlling factors.Copyright © 2022 The Authors. Published by Tehran University of Medical Sciences.
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Background: The COVID-19 outbreak in 2019 has presented in the form of pneumonia of unknown etiology in Wuhan. The complete clinical profile including the prevalence of different clinical symptoms of COVID-19 infection among Indian patients who develop a severe disease is largely unknown. This study is aimed to provide a detailed clinical characterization of the cohort of patients who visited our institute with signs and symptoms of COVID-19. Material(s) and Method(s): This was for inpatient hospital (inpatient) based prospective cohort study involving 520 COVID-19 patients admitted to the hospital. The adverse outcome included death and mechanical ventilation. Result(s): Total 520 participants enrolled in the study, (6.9%) participants died, (8.3%) participants required ICU and (5.5%) participants required mechanical ventilation. only signs and symptoms suggestive of severe respiratory system involvement or widespread infection were associated with adverse outcomes, T presence of dyspnoea, cyanosis and hypoxia. The most common chronic disease among patients with adverse outcomes were diabetes, hypertension and pre-existing respiratory disease, personal habit both smoking, and alcoholism was also associated with adverse clinical outcome. Conclusion(s): The adverse clinical outcome among COVID-19 patients is determined by several factors including advanced age, multi-morbidities, and the presence of severe respiratory symptoms.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
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The aim of the study was to study the clinical and epidemiological features of the new COVID-19 coronavirus infection in children hospitalized in the infectious department. Material and methods. 249 case histories of patients from 0 to 18 years of age who are on inpatient treatment at <<Clinical Hospital N1>> in Smolensk for the period from April 2020 to July 2022 were studied by the continuous sampling method. Verification of a new coronavirus infection was carried out by examining smears from the nasopharynx and oropharynx for the presence of SARS-CoV-2 by real-time PCR. Results. The prevalence of patients from 1 to 3 (19.3%, 49.1%) and from 6-15 (15.8%, 50.5%) years was revealed both in 2020 and in 2021 and the first half of 2022. No significant differences in gender were found. The largest number of cases in 2020 was registered in April (16%) and November (14%), in 2021 - in December (18%) and November (16%). The prevailing severity in both 2020 and 2021, 2022 was the average severity (63%, 72%, 93%, respectively). The main syndromes of COVID-19 have been identified: intoxication syndrome, respiratory catarrhal syndrome, bronchopulmonary, intestinal. Bilateral pneumonia was most often detected (47% in 2020, 44% in 2021, 62% in 2022), right-sided pneumonia (33% in 2020, 30% in 2021, 31% in 2022), and left-sided pneumonia (20%, 26% and 7%, respectively). The main co-morbid pathologies are noted, and cases of somatic diseases first registered against the background of COVID-19 are described.Copyright © Children Infections.All rights reserved
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Background: The coronavirus disease 2019 (COVID-19) pandemic and its associated morbidities are a great global concern. Diabetes mellitus (DM) is associated with adverse clinical outcomes and high mortality in patients with COVID-19. Objective(s): This study examined the frequency of BM, newly diagnosed hyperglycemia, and their impacts on hospitalized patients with COVID-19. Method(s): This retrospective study examined 810 medical records of PCR-confirmed COVID-19 patients admitted to Razi Hospital, Ahvaz, Iran. The clinical presentations, severity, and impacts of COVID-19 were compared between patients with and without DM. Disease severity was determined based on the NEWS2 scoring system. Result(s): This study included 810 medical records of COVID-19 patients, of whom 326 had pre-existing DM, and 484 were non-DM. The rates of diabetes and newly diagnosed hyperglycemia were 40.2% and 11.2%, respectively. The most common underlying diseases were hypertension (35.3%), ischemic heart disease (17.9%), and chronic kidney disease (11.9%), which were higher in people with diabetes than non-diabetics. The rate of acute kidney injury was higher in patients with diabetes than in non-diabetics (30.7% vs. 19.2%;P < 0.001) and in patients with severe COVID-19 than in those whose disease was not severe (27.8% vs. 21.5%;P = 0.04). The rates of severe COVID-19 (46.3% vs. 34.7%;P = 0.093), ICU admission (40.7% vs. 27.4%;P = 0.012), and mortality (18.5% vs. 10.5%;P = 0.079) were higher in patients with newly diagnosed hyperglycemia than in euglycemic patients. Conclusion(s): This study showed that COVID-19 infection is linked with newly diagnosed hyperglycemia and pre-existing DM, both associated with severe COVID-19, more need for ICU admission, and mortality.Copyright © 2023, Author(s).
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BACKGROUND: The coronavirus disease 2019 (COVID-19) has resulted in a global crisis, affecting hundreds of millions of individuals, with Indonesia reporting a significant increase in cases in July 2021. AIM: This study aims to describe the clinical, laboratory findings, radiological features, and outcomes of hospitalized patients with COVID-19. METHOD(S): This retrospective study was carried out using 606 hospitalized COVID-19 patients who were admitted to the isolation ward in a hospital in South Jakarta, Indonesia, from January 1 to April 30, 2021. RESULT(S): The median age of the patients was 45 years, 55.6% were male, and 85.5% had non-severe diseases, with the most common presenting symptoms being fever, cough, and gastrointestinal symptoms. Patients with severe disease were significantly older (p < 0.001), most of them have hypertension (p < 0.05) and diabetes (p < 0.001), have an increased CRP (p < 0.001), high ferritin (p < 0.001), and increased D-dimer (p < 0.001). Compared to patients who survived, patients who had died were older (p < 0.001), had hypertension (p = 0.013), increased CRP (p < 0.001), high ferritin (p = 0.002), and increased D-dimer (p = 0.006). CONCLUSION(S): These results showed that older age, comorbidities, and a higher level of CRP, ferritin, and D-dimer increased the risk of severe disease and poor clinical outcomes in hospitalized COVID-19 patients.Copyright © 2023 Wulyo Rajabto, Prasna Pramita, Hilman Tadjoedin, Donnie Lumban Gaol, R. A. Sri Hardini, Nirmala Purbasari Tarigan, Vitya Chandika, Rumuat Semuel Wullul Manangka, Maria Pyrhadistya.
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Objective. To assess the impact of obesity and overweight on the course of COVID-19. Patients and methods. This prospective study included 218 patients with SARS-CoV-2 infection aged 18 to 94 years hospitalized between June 2020 and March 2021. We evaluated their clinical and laboratory parameters and their association with body weight. All patients were divided into 3 groups depending on their body mass index (BMI). Group 1 included 81 patients with grade 1-3 obesity (BMI >=30);group 2 comprised 71 overweight patients (BMI >=25 and <30);group 3 included 66 patients with normal body weight (BMI >=18.5 and <25). We analyzed clinical symptoms (including shortness of breath, fever, myalgia, headache, fatigue, changes in the oropharynx, cough, rhinorrhea, sore throat, anosmia, and diarrhea), prevalence of concomitant disorders and complications, findings of computed tomography and pulse oximetry, and findings of instrumental and laboratory examinations (complete blood count, urine test, electrocardiography, echo cardiography, biochemical assays, including C-reactive protein, procalcitonin, alanine aminotransferase, aspartate aminotransferase, lactate, lactate dehydrogenase, activated partial thromboplastin time, prothrombin index, D-dimer, ferritin). Data analysis was performed using the Statistica 6.0 software. Results. We found that overweight and obese patients were more likely to have the main COVID-19 symptoms and comorbidities than those with normal weight. Overweight and obese patients also required respiratory support more frequently than patients with normal weight. Obese and overweight patients had more severe systemic inflammation (CRP, procalcitonin), cytolysis (ALT, AST), and thrombosis (D-dimer). Conclusion. Our findings suggest that obesity and overweight are the factors associated with a more severe SARS-CoV-2 infection, which should be considered when planning their treatment and developing resource strategies.Copyright © 2022, Dynasty Publishing House. All rights reserved.
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Timely, effective, and safe antiviral therapy in COVID-19 patients reduces complications, disability and mortality rates. The greatest concern with remdesivir is the risk of drug-induced liver injury, including in patients whose liver function is compromised by COVID-19. The aim of the study was to investigate the efficacy and safety of remdesivir in patients with confirmed SARSCoV-2 infection who had been admitted to an infectious diseases hospital in the Volgograd region in March 2022. Material(s) and Method(s): the authors carried out an open, non-randomised, single-arm study using medical records of 234 patients who had been diagnosed with "U07.1 COVID-19, virus identified" and prescribed remdesivir upon admission. The effectiveness of therapy was evaluated using two criteria: the need for oxygen supplementation or ventilatory support, or mortality. The authors conducted the evaluation on days 7, 14, and 28 using the six-point ordinal severity scale by Y. Wang et al. The safety of therapy was assessed on the basis of complaints and changes in laboratory findings. Result(s): for the patients prescribed remdesivir at admission, the 7-day mortality rate was 3.0%, the 14-day mortality rate was 5.6%, and the 28-day mortality rate was 7.3%. With the exception of a patient with myocardial infarction, all the patients who had been hospitalised with mild COVID-19 and prescribed remdesivir did not require oxygen therapy and/or transfer to intensive care and were discharged following recovery. The patients with moderate to severe COVID-19 had the 14-day mortality rate of 6.4% and the 28-day mortality rate of 8.6%. 17 patients (7.2%) discontinued remdesivir prematurely for various reasons, including adverse drug reactions. Remdesivir therapy of 5-10 days was associated with an increase in ALT activity by 2.7 +/- 0.8 times in 15.9% of patients with mild COVID-19, by 3.8 +/- 1.8 times in 20.4% of patients with moderately severe COVID-19, and by 4.8 +/- 2.7 times in 24% (12/50) of patients with severe COVID-19. In two patients (0.9%), the increase exceeded 10-fold the upper limit of normal. Conclusion(s): the obtained results support recommending remdesivir to patients with mild, moderate and severe COVID-19, including those with moderately elevated baseline activity of hepatic transaminases.Copyright © NEICON ISP LLC. All rights reserved.
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Introduction: Following the lifting of generalised restrictions and universal masking, severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2)- infected patients, especially the clinically extremely vulnerable (CEV) haematology patients, are at an increased risk for other respiratory viral coinfections;therefore, physicians need to be cognizant about excluding other treatable respiratory pathogens. Here, we report coinfection with SARS-CoV- 2 and other respiratory pathogens in patients with haematological cancers presenting to a large tertiary care hospital. Method(s): From July 2022-December 2022, patients with haematological disorders were screened for SARS-CoV- 2 and other 10 common respiratory pathogens by PCR. We performed a retrospective analysis of patients with concurrent respiratory viruses and will prospectively evaluate the same from Jan 2023 to March 2023. Result(s): During this period a total of 322 inpatients had routine screening and additional 6213 swabs were done in the outpatient/ambulatory setting, of which 294 were positive in 221 patients. We excluded all patients who had a single positive PCR swab result and specifically analysed only patients with coinfections. We identified 30 patients (14%) who had respiratory coinfections with 73 viral infections/reactivations over 6 months period, which represented 25% of all positive swabs: 25 inpatients (19 symptomatic/6 asymptomatic) and 48 in outpatients (32 symptomatic/16 asymptomatic). The median age of the cohort was 47.3 years (21-77). Patients were post allograft (n = 15), autograft (n = 7), post CART (n = 5) and postchemotherapy (n = 4). Of the 30 cases, 13 patients had concurrent infections: 5 SARS-CoV2, 10 Respiratory syncytial virus (RSV), 7 Rhino and 4 Influenza A, with all patients having dual viral infection. The remaining 17 patients had multiple viral infections but separated by a median of 54 days (range 27-137 days): 16 SARS-CoV2, 5 RSV, 6 Rhino, 2 Parainfluenza, 2 Adeno and one each of Influenza A, Influenza B, and metapneumovirus. Of the treatable infections (n = 46), 22% were detected on routine asymptomatic swabbing, with 50% of SARS-CoV2 detected on routine swabs. All 8 patients with Influenza were treated with oseltamivir, of 16 RSV cases one was treated with oral ribavirin and of the 22 SARS-CoV2 patients, 5 were treated (4 Paxlovid and 1 Remdesivir). No patients needed intensive care support and no deaths were reported. Conclusion(s): The burden of respiratory coinfections in CEV cohort has a significant impact on respiratory isolation and management, including appropriate & timely initiation of therapy for treatable viral infections. Although mortality was not increased secondary to respiratory coinfections and none needed intensive care, larger prospective cohorts are needed to assess the exact impact.
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Submission content Introduction: This is a story about the day I wheeled a patient outside. I know, it sounds somewhat underwhelming. But little did I know that this short trip down a hospital corridor and beyond the entrance foyer would mark a profound shift in perspective both for me and my patient, which I hope will influence me for the rest of my career. Main Body: "Paul" was in his 50s and severely afflicted by COVID-19, resulting in a protracted ICU admission with a slow and arduous ventilator wean. Throughout his time on the unit, Paul had seen no daylight;no view of the outside world. He was struggling to make progress and was becoming exasperated. His deteriorating mood in turn affected his sleep, which further undermined his progress. Due to COVID-19, visiting was not permitted and Paul's cuffed tracheostomy meant that he couldn't speak to his family. One day, witnessing Paul's psychological decline, I asked him if he fancied a trip outside. Despite initial reluctance, he eventually gave in to some gentle persuasion from the staff nurse, with whom he had developed a close bond. So there we went;Paul, his nurse and me. And as we wheeled his bed through the door into open air, Paul's whole demeanour suddenly changed. He appeared as though the weight of the world had been lifted from his shoulders and his face lit up with awe, a tear emerging in the corner of his eye. In that moment he rediscovered life. Not as a hospital patient, but as a person. Watching the world go by, he remembered what it was like to be a member of the human race, not the subject of endless tests and treatments. He tasted freedom. Conclusion(s): Awakened by his experience of the forgotten outside world, when we eventually returned to the ICU Paul was an entirely different man. To Paul, the trip outside symbolised progress. After weeks of frustration and despair, he finally had a purpose;a motivation to get better. Meanwhile, I was having my own quiet realisation. I now understood what it truly meant to deliver holistic care. It can become all too easy to focus on the clinical aspects;to obsess about the numbers. But in fact, often what matter most to patients are the 'little things', to which no amount of medication is the solution. I now try to consider during my daily review: what matters to this patient? How are they feeling? What are they thinking? What else can I do to help their psychological recovery? And as for me personally? Having witnessed Paul's reaction to the outside world, I suddenly became aware of how little attention I normally pay to the world around me. How little I appreciate the simple ability to walk outside, and the fundamental things we take for granted. Now, when I'm feeling annoyed or frustrated about something trivial, I stop and think of Paul. I then thank my lucky stars for what I have to be grateful for. Ultrasound Ninja.
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Objectives: To investigate why a tertiary hospital has a high number of patients with type 2 diabetes presenting with diabetic ketoacidosis. Method(s): An audit was carried out looking at all of the inpatient admissions for diabetic ketoacidosis in patients with type 2 diabetes between 2021 and 2022. Any patient with a coding of diabetic ketoacidosis and type 2 diabetes had their inpatient clinical notes evaluated using the following criteria: 1) Were the criteria for diabetes ketoacidosis met? 2) Patient age. 3) Patient anti-diabetic medications. 4) If relevant, who prescribed a sodium-glucose cotransporter- 2 inhibitor and was sick day rule advice given? 5) Did the patient have a concurrent Covid-19 infection? Results: Almost a quarter of patients (24%) included in this audit did not fulfil the diagnostic criteria for diabetic ketoacidosis. For those that did: -Over a quarter of patients (26%) were on sodium-glucose cotransporter-2 inhibitors with the majority being commenced by GPs (81%). There was no documentation as to whether sick day rule advice had been given. -Only 7% of patients had a concurrent Covid-19 infection. -The majority of patients (68%) were aged less than 75 years. Conclusion(s): Coding on discharge summaries is important and junior doctors may need further guidance with regards to the diagnostic criteria for diabetic ketoacidosis. Sodium-glucose cotransporter-2 inhibitors inhibitors are a significant cause of diabetic ketoacidosis in patients with type 2 diabetes and patient sick day rule advice is needed prior to initiation. Covid-19 infection wasn't found to be a significant causative factor.
ABSTRACT
Objectives: Post-COVID conditions (PCC) are increasingly reported in people who had COVID. Certain racial or socioeconomic groups may be at greater risk for PCC and less likely to seek care. We examined the uptake of the new ICD-10-CM diagnosis code for PCC in routine clinical practice in the United States and how it varied by race and payer group. Method(s): Using the Optum de-identified Electronic Health Record (EHR) dataset, we identified patients with an ICD-10-CM code for PCC (U09.9) between October 1, 2021, through March 31, 2022, with 6 months of prior EHR activity. The earliest diagnosis defined the index date. All concurrent diagnoses were measured on the index date. Prior COVID diagnosis was assessed using all available data before the index date. Result(s): There were 23,647 patients: 9.9% were African American, 12.1% had Medicaid, and 2.4% were uninsured. There was an overrepresentation of white patients among those with PCC (78.6% compared with 69.6% of the overall EHR in 2021). More African American (24.1%), Medicaid (23.1%), and uninsured (27.5%) patients were diagnosed in the inpatient setting or emergency department than whites (14.0%) and commercially insured patients (10.0%). Among racial groups, African Americans had the highest percentage of documented prior COVID diagnosis at 63.6%. Of concurrent diagnoses, shortness of breath and acute respiratory failure with hypoxia were higher among African Americans (13.9% and 6.1%, respectively) than whites (11.5% and 4.3%, respectively). The same pattern was seen when comparing Medicaid and uninsured to commercial payors. Conclusion(s): The PCC code was used differently across racial groups and payor types and captures varying manifestations of PCC. The differences in diagnosis locations underscore the importance of using data capturing all care settings when conducting studies using this code. Subgroup analyses are important for future studies using U09.9 due to variability in code application.Copyright © 2023