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Individual outcome prediction models for patients with COVID-19 based on their first day of admission to the intensive care unit.
Rigo-Bonnin, R, Gumucio-Sanguino, VD, Pérez-Fernández, XL, Corral-Ansa, L, Fuset-Cabanes, M, Pons-Serra, M, Hernández-Jiménez, E, Ventura-Pedret, S, Boza-Hernández, E, Gasa, M, et al
Clinical biochemistry. 2022;:13-21
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BACKGROUND Currently, good prognosis and management of critically ill patients with COVID-19 are crucial for developing disease management guidelines and providing a viable healthcare system. We aimed to propose individual outcome prediction models based on binary logistic regression (BLR) and artificial neural network (ANN) analyses of data collected in the first 24 h of intensive care unit (ICU) admission for patients with COVID-19 infection. We also analysed different variables for ICU patients who survived and those who died. METHODS Data from 326 critically ill patients with COVID-19 were collected. Data were captured on laboratory variables, demographics, comorbidities, symptoms and hospital stay related information. These data were compared with patient outcomes (survivor and non-survivor patients). BLR was assessed using the Wald Forward Stepwise method, and the ANN model was constructed using multilayer perceptron architecture. RESULTS The area under the receiver operating characteristic curve of the ANN model was significantly larger than the BLR model (0.917 vs 0.810; p < 0.001) for predicting individual outcomes. In addition, ANN model presented similar negative predictive value than the BLR model (95.9% vs 94.8%). Variables such as age, pH, potassium ion, partial pressure of oxygen, and chloride were present in both models and they were significant predictors of death in COVID-19 patients. CONCLUSIONS Our study could provide helpful information for other hospitals to develop their own individual outcome prediction models based, mainly, on laboratory variables. Furthermore, it offers valuable information on which variables could predict a fatal outcome for ICU patients with COVID-19.
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Alarming increase in ketoacidosis in children and adolescents with newly diagnosed type 1 diabetes during the first wave of the COVID-19 pandemic in Israel.
Goldman, S, Pinhas-Hamiel, O, Weinberg, A, Auerbach, A, German, A, Haim, A, Zung, A, Brener, A, Strich, D, Azoulay, E, et al
Pediatric diabetes. 2022;(1):10-18
Abstract
OBJECTIVE To evaluate the incidence and severity of ketoacidosis (DKA) at type 1 diabetes diagnosis during the first wave of the coronavirus disease 2019 (COVID-19) pandemic in Israel. RESEARCH DESIGN AND METHODS A population-based study the product of a national collaboration of Israeli pediatric diabetes centers investigated the presentation of childhood-onset type 1 diabetes. The frequencies of DKA and severe DKA observed during the COVID-19 period from March 15, 2020 (commencement of the first nationwide lockdown) until June 30, 2020 were compared with the same periods in 2019, 2018, and 2017 using multivariable logistic regression, adjusting for age, sex, and socioeconomic position. RESULTS During the COVID-19 period, DKA incidence was 58.2%, significantly higher than in 2019 (adjusted OR [aOR] 2.18 [95% CI, 1.31-3.60], P = 0.003); 2018 (aOR 2.05 [95% CI, 1.26-3.34], P = 0.004); and 2017 (aOR, 1.79 [95% CI, 1.09-2.93], P = 0.022). The incidence of severe DKA was 19.9%, significantly higher than in 2018 (aOR, 2.49 [95% CI, 1.20-5.19], P = 0.015) and 2017 (aOR, 2.73 [95% CI, 1.28-5.82], P = 0.009). In 2020, admissions and duration of stay in the intensive care unit were higher than in previous years (P = 0.001). During the COVID-19 pandemic, children aged 6-11 years had higher incidences of DKA (61.3% vs. 34.0%, 40.6%, and 45.1%, respectively, P = 0.012), and severe DKA (29.3% vs. 15.1%, 10.9%, and 5.9%, respectively, P = 0.002). CONCLUSIONS The dramatic increase in DKA at presentation of childhood-onset type 1 diabetes during the COVID-19 pandemic mandates targeted measures to raise public and physician awareness.
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Hypokalemia in Patients with COVID-19.
Alfano, G, Ferrari, A, Fontana, F, Perrone, R, Mori, G, Ascione, E, Magistroni, R, Venturi, G, Pederzoli, S, Margiotta, G, et al
Clinical and experimental nephrology. 2021;(4):401-409
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BACKGROUND Patients with COVID-19 experience multiple clinical conditions that may cause electrolyte imbalances. Hypokalemia is a concerning electrolyte disorder closely associated with severe complications. This study aimed to estimate prevalence, risk factors and outcome of hypokalemia in a cohort of patients with confirmed COVID-19. METHODS A retrospective analysis was conducted on 290 non-ICU admitted patients with COVID-19 at the tertiary teaching hospital of Modena, Italy, from February 16 to April 14, 2020. RESULTS Hypokalemia was detected in 119 out of 290 patients (41%) during hospitalization. Mean serum potassium was 3.1 ± 0.1 meq/L. The majority of patients (90.7%) patients experienced only a mild decrease in serum potassium level (3-3.4 mEq/L). Hypokalemia was associated with hypocalcemia, which was detected in 50% of subjects. Urine potassium-to-creatinine ratio, measured in a small number of patients (n = 45; 36.1%), revealed an increase of urinary potassium excretion in most cases (95.5%). Risk factors for hypokalemia were female sex (odds ratio (OR) 2.44; 95% CI 1.36-4.37; P 0.003) and diuretic therapy (OR 1.94, 95% CI 1.08-3.48; P 0.027). Hypokalemia, adjusted for sex, age and SOFA score, was not associated with ICU transfer (OR 0.52; 95% CI 0.228-1.212; P = 0.131), in-hospital mortality (OR, 0.47; 95% CI 0.170-1.324; P = 0.154) and composite outcome of ICU transfer or in-hospital mortality (OR 0.48; 95% CI 0.222-1.047; P = 0.065) in our cohort of patients. CONCLUSIONS Hypokalemia was a frequent disorder in subjects with COVID-19. Female sex and diuretic therapy were identified as risk factors for low serum potassium levels. Hypokalemia was unrelated to ICU transfer and death in this cohort of patients.
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Comparison between Nutric Score and modified nutric score to assess ICU mortality in critically ill patients with COVID-19.
Liberti, A, Piacentino, E, Umbrello, M, Muttini, S
Clinical nutrition ESPEN. 2021;:479-482
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BACKGROUND AND AIMS NUTrition Risk in the Critically ill (NUTRIC score) and modified Nutric score (mNUTRIC score) have been validated as screening tool for quantifying risk of adverse outcome in patients admitted in intensive care department. They differ for the measurement of IL-6 levels. In patients with COVID-19 disease the inflammatory response plays a crucial role leading to cytochine storm responsible of multiple organ damage. In this population, levels of IL-6 have been measured as indicator of inflammatory status. Aim of the study is to compare prognostic performance of both scores in predicting ICU mortality between patients with COVID-19 disease. METHODS A single centre, retrospective, cohort study on patients admitted in ICU with confirmed diagnosis of COVID-19 was performed. Prognostic performance of NUTRIC score and mNUTRIC score were assessed and compared for discriminative abilities for ICU-mortality. RESULTS 43 patients were enrolled, age 64 (55; 70), BMI 28 ± 4. Mean NUTRIC score was 2.5 ± 1, mNUTRIC was 2.6 ± 1.1. Mortality was 39.5%, all patients had low nutritional risk according to both scores (≤5 and ≤ 4 for NUTRIC and mNUTRIC score respectively). The discriminative ability of Nutric Score for ICU mortality was 0.675 (95% CI: 0.524-0.825), while that of mNutric score was 0.655 (0.513-0.861), p = 0.667. CONCLUSIONS Prognostic performance of Nutric score and mNutric score is comparable, but the discriminative ability is low even in patients with high inflammatory status as in COVID-19 affected population. These scores may not be appropriate in patients with COVID-19 for the determination of nutritional risk.
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Evolution of Nutritional Status after Early Nutritional Management in COVID-19 Hospitalized Patients.
Bedock, D, Couffignal, J, Bel Lassen, P, Soares, L, Mathian, A, Fadlallah, JP, Amoura, Z, Oppert, JM, Faucher, P
Nutrients. 2021;(7)
Abstract
Background & Aims: SARS-CoV2 infection is associated with an increased risk of malnutrition. Although there are numerous screening and nutritional management protocols for malnutrition, only few studies have reported nutritional evolution after COVID-19. The objectives of this study were to describe the evolution of nutritional parameters between admission and 30 days after hospital discharge, and to determine predictive factors of poor nutritional outcome after recovery in adult COVID-19 patients. Methods: In this observational longitudinal study, we report findings after discharge in 91 out of 114 patients initially admitted for COVID-19 who received early nutritional management. Nutritional status was defined using GLIM criteria and compared between admission and day 30 after discharge. Baseline predictors of nutritional status at day 30 were assessed using logistic regression. Results: Thirty days after discharge, 28.6% of patients hospitalized for COVID-19 were malnourished, compared to 42.3% at admission. Half of malnourished patients (53%) at admission recovered a normal nutritional status after discharge. Weight trajectories were heterogeneous and differed if patients had been transferred to an intensive care unit (ICU) during hospitalization (p = 0.025). High oxygen requirement during hospitalization (invasive ventilation p = 0.016 (OR 8.3 [1.6-61.2]) and/or oxygen therapy over 5 L/min p = 0.021 (OR 3.2 [1.2-8.9]) were strong predictors of malnutrition one month after discharge. Conclusions: With early nutritional management, most patients hospitalized for COVID-19 improved nutritional parameters after discharge. These findings emphasize the importance of nutritional care in COVID-19 patients hospitalized in medicine departments, especially in those transferred from ICU.
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X-linked recessive TLR7 deficiency in ~1% of men under 60 years old with life-threatening COVID-19.
Asano, T, Boisson, B, Onodi, F, Matuozzo, D, Moncada-Velez, M, Maglorius Renkilaraj, MRL, Zhang, P, Meertens, L, Bolze, A, Materna, M, et al
Science immunology. 2021;(62)
Abstract
Autosomal inborn errors of type I IFN immunity and autoantibodies against these cytokines underlie at least 10% of critical COVID-19 pneumonia cases. We report very rare, biochemically deleterious X-linked TLR7 variants in 16 unrelated male individuals aged 7 to 71 years (mean: 36.7 years) from a cohort of 1,202 male patients aged 0.5 to 99 years (mean: 52.9 years) with unexplained critical COVID-19 pneumonia. None of the 331 asymptomatically or mildly infected male individuals aged 1.3 to 102 years (mean: 38.7 years) tested carry such TLR7 variants (p = 3.5 × 10-5). The phenotypes of five hemizygous relatives of index cases infected with SARS-CoV-2 include asymptomatic or mild infection (n=2, 5 and 38 years), or moderate (n=1, 5 years), severe (n=1, 27 years), or critical (n=1, 29 years) pneumonia. Two boys (aged 7 and 12 years) from a cohort of 262 male patients with severe COVID-19 pneumonia (mean: 51.0 years) are hemizygous for a deleterious TLR7 variant. The cumulative allele frequency for deleterious TLR7 variants in the male general population is < 6.5x10-4 We also show that blood B cell lines and myeloid cell subsets from the patients do not respond to TLR7 stimulation, a phenotype rescued by wild-type TLR7 The patients' blood plasmacytoid dendritic cells (pDCs) produce low levels of type I IFNs in response to SARS-CoV-2. Overall, X-linked recessive TLR7 deficiency is a highly penetrant genetic etiology of critical COVID-19 pneumonia, in about 1.8% of male patients below the age of 60 years. Human TLR7 and pDCs are essential for protective type I IFN immunity against SARS-CoV-2 in the respiratory tract.
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Association of bioelectric impedance analysis body composition and disease severity in COVID-19 hospital ward and ICU patients: The BIAC-19 study.
Moonen, HPFX, van Zanten, FJL, Driessen, L, de Smet, V, Slingerland-Boot, R, Mensink, M, van Zanten, ARH
Clinical nutrition (Edinburgh, Scotland). 2021;(4):2328-2336
Abstract
BACKGROUND The current severe acute respiratory syndrome coronavirus 2 pandemic is unprecedented in its impact. It is essential to shed light on patient characteristics that predispose to a more severe disease course. Obesity, defined as a BMI>30 kg/m2, is suggested to be one of these characteristics. However, BMI does not differentiate between fat mass and lean body mass, or the distribution of fat tissue. The aim of the present study was to assess the body composition of COVID-19 patients admitted to the ward or the ICU and identify any associations with severity of disease. METHODS We performed an observational cross-sectional cohort study. Bioelectric impedance analysis was conducted amongst all confirmed COVID-19 patients admitted to the ward or ICU of our hospital in the Netherlands, between April 10 and 17, 2020. Body water measurements and derived values were recalculated to dry weight, using a standard ratio of extracellular water to total body water of 0.38. Data were compared between the ward and ICU patients, and regression models were used to assess the associations between baseline characteristics, body composition, and several indicators of disease severity, including a composite score composed of mortality, morbidity, and ICU admission. RESULTS Fifty-four patients were included, of which 30 in the ward and 24 in the ICU. The mean age was 67 years (95%-CI 64-71), and 34 (63%) were male. Mean BMI was 29.7 (95%-CI 28.2-31.1) kg/m2 and did not differ between groups. Body composition values were not independently associated with disease severity. In multiple logistic regression analyses, a low phase angle was associated with COVID-19 severity in the composite score (OR 0.299, p = 0.046). CONCLUSION We found no significant associations between body composition, including fat mass, visceral fat area, and fat-free mass, and disease severity in our population of generally overweight COVID-19 patients. A lower phase angle did increase the odds of severe COVID-19. We believe that factors other than body composition play a more critical role in the development of severe COVID-19.
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COVID-19 and Immigrant Essential Workers: Bhutanese and Burmese Refugees in the United States.
Zhang, M, Gurung, A, Anglewicz, P, Yun, K
Public health reports (Washington, D.C. : 1974). 2021;(1):117-123
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OBJECTIVES Immigrants are believed to be at high risk of infection with severe acute respiratory syndrome coronavirus 2, the virus that causes coronavirus disease 2019 (COVID-19). A leading suspected risk factor is their role in the essential workforce. We aimed to describe COVID-19-related risk factors among Bhutanese and Burmese refugees in the United States. METHODS We administered an anonymous online survey in May 2020 among community leaders of Bhutanese and Burmese refugees. Using a snowball sampling strategy, we invited community leaders to complete the survey and share the link with others who met inclusion criteria (English proficient, aged ≥18, currently living in the United States). We compared respondents with and without recent COVID-19 and identified risk factors for infection. RESULTS Of 218 refugees in 23 states who completed the survey from May 15 through June 1, 2020, fifteen (6.9%) reported infection with COVID-19. Being an essential worker during the pandemic (odds ratio [OR] = 5.25; 95% CI, 1.21-22.78), having an infected family member (OR = 26.92; 95% CI, 5.19-139.75), and being female (OR = 5.63; 95% CI, 1.14-27.82) were risk factors for infection. Among 33 infected family members, 23 (69.7%) were essential workers. CONCLUSION Although we had a small snowball sample, we found that working in essential industries was associated with an increased risk of COVID-19 infection among Bhutanese and Burmese refugees. We call for larger studies that include Asian immigrant subgroups, as well as immediate attention to protecting immigrant essential workers during the COVID-19 pandemic.
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Guillain-Barré syndrome is infrequent among recipients of the BNT162b2 mRNA COVID-19 vaccine.
García-Grimshaw, M, Michel-Chávez, A, Vera-Zertuche, JM, Galnares-Olalde, JA, Hernández-Vanegas, LE, Figueroa-Cucurachi, M, Paredes-Ceballos, O, Reyes-Terán, G, Carbajal-Sandoval, G, Ceballos-Liceaga, SE, et al
Clinical immunology (Orlando, Fla.). 2021;:108818
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Vaccines are the most effective strategy to mitigate the global impact of COVID-19. However, vaccine hesitancy is common, particularly among minorities. Guillain-Barré syndrome (GBS) is the most common autoimmune illness of the peripheral nervous system, occurring at an incidence of 1.1/100,000 worldwide. A causal link between mRNA vaccines and GBS has not been previously evaluated. We analyzed a cohort of 3,890,250 Hispanic/Latinx recipients of the BNT162b2 mRNA vaccine (613,780 of whom had already received both doses) for incident GBS occurring within 30 days from vaccine administration. Seven cases of GBS were detected among first-dose recipients, for an observed incidence of 0.18/100,000 administered doses during the prespecified timeframe of 30 days. No cases were reported after second-dose administration. Our data suggest that, among recipients of the BNT162b2 mRNA vaccine, GBS may occur at the expected community-based rate; however, this should be taken with caution as the current incidence of GBS among the unvaccinated population against COVID-19 is still undetermined. We hope that this preliminary data will increase the public perception of safety toward mRNA-based vaccines and reduce vaccine hesitancy.
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Impact of teleophthalmology during COVID-19 lockdown in a tertiary care center in South India.
Ravindran, M, Segi, A, Mohideen, S, Allapitchai, F, Rengappa, R
Indian journal of ophthalmology. 2021;(3):714-718
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PURPOSE The aim of this study was to describe the experience of teleconsultations addressed at our hospital in India during the ongoing coronavirus (COVID-19) lockdown. METHODS This cross-sectional hospital-based study included 977 teleconsultations presenting between April 1st and May 31, 2020. A two-level protocol was implemented to triage the calls. RESULTS Overall, 977 teleconsultation were addressed. Of the 621 teleconsultation addressed the most common queries were related to redness/pain/ watering/blurred vision/itching/irritation (52.49%), followed by queries related to medications (28.01%), appointments (18.84%) & 0.64% cited an emergency need to visit the hospital due to sudden loss of vision. The majority of the queries were directed to the department of cornea (58.93%) followed by retina (16.26%), cataract (13.04%), glaucoma (10.14%) & pediatric ophthalmology (1.61%). The most common advice given to the patient was related to medications (47.66%) followed by appointment-related queries (31.72%) & fixing of surgical appointment (20.61%). Among the 356 preterm babies that were screened, 57 (16.01%) were diagnosed with retinopathy of prematurity (ROP). Of them 3 required laser and 3 were given injection. CONCLUSION Teleconsultation is here to stay beyond the pandemic. WhatsApp was the preferred modality of communication for us. Teleophthalmology has given us insights to use this evolving technology to reach out to the population at large to provide eye care services. We believe that this mode of teleophthalmology has helped us in providing feasible eye care to the patients.