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      COVID-19 Infection in Hemodialysis Patients, Incidence, Risk Factors and Mortality. Single Centre Study

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          Abstract

          Background:

          Hemodialysis patients are not only prone to acquire COVID-19 infection but also more likely to suffer a higher rate of morbidity and mortality. This study aims to report the incidence and mortality rate of COVID-19 infection in our hemodialysis patients and to determine risk factors.

          Methods:

          This is an observational, retrospective study conducted in the dialysis unit of Dubai Hospital. Our target population was hemodialysis patients who tested positive for COVID infection (PCR assay of the nasopharyngeal swab) from 1st April 2020 to 31st August 2021. Our primary outcome was to study the mortality rate associated with COVID-19 infection in dialysis patients in Dubai hospital. Our secondary objectives were to study the incidence and determine risk factors for the severity of infection. Patient demographics and clinical features were collected from medical record software, i.e., EPIC. Univariate Cox regression analysis was performed to evaluate potential risk factors for mortality in our cohort.

          Results:

          72 out of 250 (28.8%) hemodialysis patients acquired COVID infection during the study period, the median age was 54.32 (15-93) years, and 56.94% (n=41) were male. The most common comorbid was hypertension (59.72%), while the main symptom at presentation was shortness of breath (25%). One-third of patients required a different form of oxygen therapy, and 11.11% of patients were mechanically ventilated. The mortality rate was 16.6%. High median age, ischemic heart disease, low absolute lymphocyte count, and high levels of ferritin, LDH, and procalcitonin, as well as mechanical ventilation, were statistically significant risk factors associated with mortality.

          Conclusion:

          The overall outcome of COVID infection in our hemodialysis patients was better compared to the hemodialysis population from other parts of the world.

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          Most cited references31

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Clinical Characteristics of Coronavirus Disease 2019 in China

            Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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              Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

              In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                New Emirates Medical Journal
                NEMJ
                Bentham Science Publishers Ltd.
                0250-6882
                September 2022
                September 2022
                : 3
                : 2
                Affiliations
                [1 ]Department of Nephrology, Dubai Hospital, Dubai Health Authority, Dubai, United Arab Emirates
                Article
                10.2174/03666220817145707
                35ed67f1-3c6d-4505-ae40-34da113408a2
                © 2022

                Free to read

                https://creativecommons.org/licenses/by/4.0/legalcode

                History

                Medicine,Chemistry,Life sciences
                Medicine, Chemistry, Life sciences

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