Hypocalcemia is highly prevalent and predicts hospitalization in patients with COVID-19.
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ABSTRACT:
SUBMITTER: Di Filippo L
PROVIDER: S-EPMC7292572 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
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Hypocalcemia is highly prevalent and predicts hospitalization in patients with COVID-19.
Di Filippo Luigi L Formenti Anna Maria AM Rovere-Querini Patrizia P Carlucci Michele M Conte Caterina C Ciceri Fabio F Zangrillo Alberto A Giustina Andrea A
Endocrine 20200612 3
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Project description:Many coronavirus disease 2019 (Covid-19) survivors show symptoms months after acute illness. The aim of this work is to describe the clinical evolution of Covid-19, one year after discharge. We performed a prospective cohort study on 238 patients previously hospitalized for Covid-19 pneumonia in 2020 who already underwent clinical follow-up 4 months post-Covid-19. 200 consented to participate to a 12-months clinical assessment, including: pulmonary function tests with diffusing lung capacity for carbon monoxide (DLCO); post-traumatic stress (PTS) symptoms evaluation by the Impact of Event Scale (IES); motor function evaluation (by Short Physical Performance Battery and 2 min walking test); chest Computed Tomography (CT). After 366 [363-369] days, 79 patients (39.5%) reported at least one symptom. A DLCO < 80% was observed in 96 patients (49.0%). Severe DLCO impairment (< 60%) was reported in 20 patients (10.2%), related to extent of CT scan abnormalities. Some degree of motor impairment was observed in 25.8% of subjects. 37/200 patients (18.5%) showed moderate-to-severe PTS symptoms. In the time elapsed from 4 to 12 months after hospital discharge, motor function improves, while respiratory function does not, being accompanied by evidence of lung structural damage. Symptoms remain highly prevalent one year after acute illness.
| S-EPMC8608998 | biostudies-literature
Project description:Abstract Background: Many issues, such as severity assessment and antibody responses, remain to be answered eagerly for evaluation and understanding of COVID-19. Immune lesion is one of key pathogenesis of the disease. It would be helpful to understand the disease if an investigation on antigenemia and association was conducted in the patients with SARS-CoV-2 infection. Methods: A total of 156 patients admitted to the First People's Hospital of Hefei or Anhui Provincial Hospital on January to February 2020 were involved in this study. SARS-CoV-2 nucleocapsid (NP) antigen, specific IgM/IgG antibodies, and RNA were detected in sequential sera from three COVID-19 patients, and additional 153 COVID-19 patients by means of NP-antigen capture enzyme-linked immunosorbent assay, colloidal gold quick diagnosis, and real-time RT-PCR, respectively. The clinical types of COVID-19 patients were classified into asymptomatic, mild, moderate, severe, and critical, following on the Chinese guideline of COVID-19 diagnosis and treatment. The demographic and clinical data of patients were obtained for comparable analysis. Results: NP antigen was detected in 5 of 20 sequential sera collected from three COVID-19 patients with typically clinical symptoms, and 60.13% (92/153) expanded samples collected within 17 days after illness onset. No SARS-CoV-2 RNA segment was detected in these sera. The NP positive proportion reached a peak (84.85%, 28/33) on 6 to 8 days after illness onset. Both NP concentration and positive proportion were increased with the increase of clinical severity of COVID-19. Compared to NP negative patients, NP positive patients had older age [years, medians (interquartile ranges (IQR)), 49 (6) vs. 31 (11)], lower positive proportion of NP specific IgM [27.17% (25/92) vs. 59.02% (36/61)], and IgG [21.74% (20/92) vs. 59.02% (36/61)] antibodies, and longer duration [days, medians (IQR), 24 (10) vs. 21 (13)] from illness to recovery. Conclusions: SARS-CoV-2 NP antigenemia occurred in COVID-19, and presented highly prevalent at early stage of the disease. The antigenemia was related to clinical severity of the disease, and may be responsible for the delay of detectable SARS-Cov-2 IgM.
| S-EPMC9295937 | biostudies-literature
Project description:ObjectivesPersistent COVID-19 symptoms have been reported up to 3 months after hospital discharge. Little is known on the frequency and the nature of persistent symptoms beyond 3 months. Here we have assessed, in the longitudinal prospective French COVID-19 cohort, symptoms that persisted 6 months after admission for COVID-19.MethodsHospitalized patients with virologically confirmed COVID-19 were enrolled. Follow-up was planned with a physician's visit at month (M)3 and M6 after admission. Associations between persistence of symptoms at M6 and clinical characteristics at admission were assessed through bivariate and multivariate logistic regression.ResultsM6 data were available for 1137 participants. Median age was 61 years (IQR 51-71) and 288 (29%, 95% CI 26-32%) were admitted to intensive care unit (ICU) during the acute phase. Six hundred and fifty-five (68%, 95% CI 65-71%) and 639 (60%, 95% CI 57-63%) participants had at least one symptom at M3 and M6 visit, respectively, mostly fatigue, dyspnoea, joint pain and myalgia. At M6, 255 (24%, 95% CI 21-27%) of participants had three or more persistent symptoms. The presence of three or more symptoms at M6 was independently associated with female gender (adjusted odds ratio (aOR) 2.40, 95% CI 1.75-3.30), having three or more symptoms at admission (aOR 2.04, 95% CI 1.45-2.89) and ICU admission/transfer during acute phase (aOR 1.55, 95% CI 1.09-2.18), but not significantly with age or having two or more comorbidities. One hundred and twenty-five (29%, 95% CI 25-34%) of those who initially had a professional occupation were not back to work at M6.DiscussionA fourth of individuals admitted to hospital for COVID-19 still had three or more persistent symptoms at M6. Longitudinal follow-up of individuals with severe COVID-19 is warranted to better understand the pathophysiology underlying this long-term persistence.
| S-EPMC8107834 | biostudies-literature
Project description:The COVID-19 pandemic has placed unprecedented strain on the healthcare system, particularly hospital bed capacity in the setting of large variations in patient length of stay (LOS). Using electronic health record data from 966 COVID-19 patients at a large academic medical center, we developed three machine learning algorithms to predict the likelihood of prolonged LOS, defined as >8 days. The models included 353 variables and were trained on 80% of the cohort, with 20% used for model validation. The three models were created on hospital days 1, 2 and 3, each including information available at or before that point in time. The models' predictive capabilities improved sequentially over time, reaching an accuracy of 0.765, with an AUC of 0.819 by day 3. These models, developed using readily available data, may help hospital systems prepare for bed capacity needs, and help clinicians counsel patients on their likelihood of prolonged hospitalization.
| S-EPMC8156835 | biostudies-literature
Project description: Not available
| S-EPMC7649576 | biostudies-literature
Project description:Poor nutritional status is common (estimated prevalence 5-69%) in acute coronavirus disease-2019 (COVID-19), and has been associated with hospitalization, the need for intensive care, and mortality. Body composition (BC) and muscle function have also been related in such patients to poor disease outcomes. As the evidence in the literature is limited, a cross-sectional study was carried out to determine the frequency of malnutrition in a cohort of post-acute COVID-19 patients referred to a rehabilitation center after hospital discharge. BC and muscle strength were assessed and the differences between bedridden and not bedridden patients were specifically evaluated. The study sample was composed of 144 post-acute COVID-19 patients (mean age 64.8 years; males = 95), 37% of whom were bedridden (males = 60%). Nutritional status was evaluated with Mini-Nutritional Assessment (MNA) and Controlling Nutritional status (CONUT). Fat-free mass (FFM) and skeletal muscle mass (SM) were estimated using bioelectrical impedance analysis (BIA). Raw BIA variables (phase angle = PhA and impedance ratios = IRs) were also determined and handgrip strength (HGS) was measured. Dynapenia was identified according to the 2019 EWGSOP criteria. According to MNA, 18% (n. 26) of patients were malnourished and 62% (n. 89) were at risk of malnutrition. As for CONUT, 21% (n. 31) of cases had moderate-severe malnutrition and 58% (n. 83) had light malnutrition. Abnormalities of raw BIA variables (low PhA and high IRs) and low HGS were more common in bedridden patients, in those who were malnourished, or had low FFM or SM. Dynapenic patients were 65% men and 47% women. In conclusion, malnutrition, BC alterations, and low HGS occur in post-acute COVID-19 patients and are more common in bedridden patients. Further studies are needed to identify reliable algorithms for assessing nutritional status in post-acute COVID-19 patients undergoing rehabilitation.
| S-EPMC9205211 | biostudies-literature
Project description:PurposeDespite the importance of hospital bed network during the pandemic, there are scarce data available regarding factors predictive of prolonged length of hospitalization of COVID-19 patients.MethodsWe retrospectively analyzed a total of 5959 consecutive hospitalized COVID-19 patients in period 3/2020-6/2021 from a single tertiary-level institution. Prolonged hospitalization was defined as hospital stay > 21 days to account for mandatory isolation period in immunocompromised patients.ResultsMedian length of hospital stay was 10 days. A total of 799 (13.4%) patients required prolonged hospitalization. Factors that remained independently associated with prolonged hospitalization in multivariate analysis were severe or critical COVID-19 and worse functional status at the time of hospital admission, referral from other institutions, acute neurological, acute surgical and social indications for admission vs admission indication of COVID-19 pneumonia, obesity, chronic liver disease, hematological malignancy, transplanted organ, occurrence of venous thromboembolism, occurrence of bacterial sepsis and occurrence of Clostridioides difficile infection during hospitalization. Patients requiring prolonged hospitalization experienced higher post-hospital discharge mortality (HR = 2.87, P < 0.001).ConclusionsNot only severity of COVID-19 clinical presentation but also worse functional status, referral from other hospitals, certain indications for admission, certain chronic comorbidities, and complications that arise during hospital stay independently reflect on the need of prolonged hospitalization. Development of specific measures aimed at improvement of functional status and prevention of complications might reduce the length of hospitalization.
| S-EPMC10133912 | biostudies-literature
Project description: Not available
| S-BSST416 | biostudies-other
Project description: Not available
| S-BSST1135 | biostudies-other
Project description:Mounting clinical evidence indicates severe pathological consequences from COVID-19 in the heart. Here we examine cardiac susceptibility and response to SARS-CoV-2 using human induced pluripotent stem cell-derived cardiomyocytes, cardiac fibroblasts, and endothelial cells. Of these cell types, SARS-CoV-2 can only productively infect cardiomyocytes, and does so via an endolysosomal mechanism. Transcriptomic profiling of infected cells revealed changes in protein homeostasis and cardiomyocyte contractility, and activation of innate immune response pathways. In addition, we observed a striking pattern of myofibrillar fragmentation, with specific cleavage at the M-line. Numerous cardiomyocytes also lacked nuclear DNA in tissue culture experiments and COVID-19 autopsy specimens. These novel cardiac pathologies induced by SARS-CoV-2 strongly motivate the development of targeted cardioprotective strategies to prevent acute and long-term heart failure in COVID-19 patients.
2020-09-21 | GSE156754 | GEO