Predictive Value of Eosinophil Count on COVID-19 Disease Progression and Outcomes, a Retrospective Study of Leishenshan Hospital in Wuhan, China
Wei XuanXuliang JiangLili HuangShuting PanCai–Yang ChenXiao ZhangHui ZhuSong ZhangWeifeng YuZhiyong PengDiansan Su
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The potential protective role of eosinophils in the COVID-19 pandemic has aroused great interest, given their potential virus clearance function and the infection resistance of asthma patients to this coronavirus. However, it is unknown whether eosinophil counts could serve as a predictor of the severity of COVID-19.A total of 1004 patients with confirmed COVID-19 who were admitted to Leishenshan Hospital in Wuhan, China, were enrolled in this study, including 905 patients in the general ward and 99 patients in the intensive care unit (ICU). We reviewed their medical data to analyze the association between eosinophils and ICU admission and death.Of our 1004 patients with COVID-19, low eosinophil counts/ratios were observed in severe cases. After adjusting for confounders that could have affected the outcome, we found that eosinophil counts might not be a predictor of ICU admission. In 99 ICU patients, 58 of whom survived and 41 of whom died, low eosinophil level was an indicator of death in severe COVID-19 patients with a cutoff value of 0.04 × 109/L, which had an area under the curve of 0.665 (95% CI = 1.089-17.839; P = .045) with sensitivity and specificity of 0.569 and 0.7317, respectively.Our research revealed that a low eosinophil level is a predictor of death in ICU patients rather than a cause of ICU admission.Background and Objectives: The optimal energy intake for early nutrition therapy in critically ill patients is unknown, especially in Chinese patients with a lower BMI. This study investigated the relationship between energy intake and clinical outcomes in this patient population. Methods and Study Design: A retrospective study was carried out at a tertiary hospital. Critically ill patients were recruited and divided into 3 tertiles according to the ratio of actual/target energy intake during the first week of hospitalization in the intensive care unit (ICU) (tertile I, ＜33.4%; tertile II, 33.4%-66.7%; and tertile III, ＞66.7%). 60-day mortality and other clinical outcomes were compared. To adjust for potentially confounding factors, multivariate and sensitivity analyses were performed exclusively in patients who stayed in the ICU for ≥7 days. Results: A total of 325 patients with a mean BMI of 22.5±4.7 kg/m^2 were recruited. 60-day mortality was similar between the 3 tertiles. In the unadjusted analysis, tertile III had a longer length of stay in the ICU and at the hospital, longer duration of mechanical ventilation, and higher rate of ICU-associated infections, but only the latter showed a significant difference between the 3 tertiles in the multivariate and sensitivity analyses. Logistic regression analysis showed that energy groups was an independent risk factor for ICU-associated infections. Conclusions: Energy intake in early nutrition therapy influences risk of ICU-associated infections in Chinese critically ill patients with lower BMI. Furthermore, patients with near-target energy intake have more frequent ICU-associated infections.
Medical nutrition therapy
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2019-20 coronavirus outbreak
Coronavirus
Betacoronavirus
Pandemic
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Coronavirus disease 2019 is an ongoing disease with high morbidity and mortality. We aimed to investigate the relationship between demographics, lymphocytes, eosinophils, and the coronavirus disease 2019 severity at hospital admission.
Demographics
2019-20 coronavirus outbreak
Coronavirus
Pandemic
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Background: fifteen percent of patients with Crohn's disease (CD) are elderly; they are less likely to have complications and more likely to have colonic disease. Objective: to compare disease behaviour in patients with CD based on age at diagnosis. Design: cross-sectional study. Setting: tertiary referral centre. Subjects: patients with confirmed CD. Methods: behaviour was characterised according to the Montreal classification. Patients with either stricturing or penetrating disease were classified as having complicated disease. Age at diagnosis was categorised as <17, 17–40, 41–59 and ≥60 years. Logistic regression analysis was performed to examine the association between advanced age ≥60 and complicated disease. Results: a total of 467 patients were evaluated between 2004 and 2010. Increasing age of diagnosis was negatively associated with complicated disease and positively associated with colonic disease. As age of diagnosis increased, disease duration (P < 0.001), family history of Inflammatory bowel disease (IBD) (P = 0.015) and perianal disease decreased (P < 0.0015). After adjustment for confounding variables, the association between age at diagnosis and complicated disease was no longer significant (OR: 0.60, 95% CI: 0.21–1.65). Conclusions: patients diagnosed with CD ≥60 were more likely to have colonic disease and non-complicated disease. However, the association between age at diagnosis and complicated disease did not persist after adjustment for confounding variables.
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Patients with severe COVID-19 are more likely to develop adverse outcomes with a huge medical burden. We aimed to investigate whether a shorter symptom onset to admission time (SOAT) could improve outcomes of COVID-19 patients.
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Introduction The pathogenesis of COVID-19 depends on the interplay between host characteristics, viral characteristics and contextual factors. Here, we compare COVID-19 disease severity between hospitalized patients in Belgium infected with the SARS-CoV-2 variant B.1.1.7 and those infected with previously circulating strains. Methods The study is conducted within a causal framework to study the severity of SARS-CoV-2 variants by merging surveillance registries in Belgium. Infection with SARS-CoV-2 B.1.1.7 (‘exposed’) was compared to infection with previously circulating strains (‘unexposed’) in terms of the manifestation of severe COVID-19, intensive care unit (ICU) admission, or in-hospital mortality. The exposed and unexposed group were matched based on the hospital and the mean ICU occupancy rate during the patient’s hospital stay. Other variables identified as confounders in a Directed Acyclic Graph (DAG) were adjusted for using regression analysis. Sensitivity analyses were performed to assess the influence of selection bias, vaccination rollout, and unmeasured confounding. Results We observed no difference between the exposed and unexposed group in severe COVID-19 disease or in-hospital mortality (RR = 1.15, 95% CI [0.93–1.38] and RR = 0.92, 95% CI [0.62–1.23], respectively). The estimated standardized risk to be admitted in ICU was significantly higher (RR = 1.36, 95% CI [1.03–1.68]) when infected with the B.1.1.7 variant. An age-stratified analysis showed that among the younger age group (≤65 years), the SARS-CoV-2 variant B.1.1.7 was significantly associated with both severe COVID-19 progression and ICU admission. Conclusion This matched observational cohort study did not find an overall increased risk of severe COVID-19 or death associated with B.1.1.7 infection among patients already hospitalized. There was a significant increased risk to be transferred to ICU when infected with the B.1.1.7 variant, especially among the younger age group. However, potential selection biases advocate for more systematic sequencing of samples from hospitalized COVID-19 patients.
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Advances in asthma clinical assessment help in categorizing patients based on their clinical severity. Eosinophilia is a common laboratory finding in asthmatics. This paper explores the correlation between the clinical severity of asthmatic children and the degree of total peripheral eosinophil count (TPEC). Eighty asthmatic children referred to pediatric and allergy clinics were selected. Their clinical severity levels were assessed using the recent Global Strategy for Asthma Management and Prevention guidelines. Absolute TPEC was performed for all cases by the Cell-Dyne 3500 automated hematology counter. Correlation between clinical severity and TPEC was measured and their means in each severity group were compared for any significant association. Asthmatic children aged between 6 months and 15 years (mean = 5.9 years; 67.5% male) were studied. The clinical severity of their bronchial asthma was divided into four groups: intermittent (6, or 7.5%), mild-persistent (48, or 60%), moderate persistent (20, or 25%), and severe-persistent (6, or 7.5%). TPEC for the groups ranged between 10 and 2100 cells/mm3 (mean = 581.7 cells) and showed a very significant positive correlation with increased asthma severity (R = 0.61, p<0.001). A high linear trend of TPEC within each clinical group was found (F = 51.3, p<0.0001), and the means among each group also showed a significant increase as asthma severity level increased (F = 19.98, p<0.001). The study documents a significant positive correlation between the clinical severity of bronchial asthma and eosinophil counts. The authors advocate the use of this simple and sensitive laboratory test as a significant adjunct objective technique in the assessment of asthma severity and management.
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Severe acute respiratory syndrome coronavirus type 2, SARS-CoV-2 is a disease that causes multi-organ failure in humans and causes physiological changes, which are changes in the components of hematology and biochemical biomarkers that are not specific to Covid-19 disease but considered hallmark into SARS COV-2. Globally, researches indicate that the vast majority of COVID-19 cases fall into the least severe category, i.e., mild to moderate: 81%, severe 14%, and critical 5% of all confirmed cases that infected with SARS COV-2.
2019-20 coronavirus outbreak
Coronavirus
Sars virus
Hematology
Betacoronavirus
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Primary nosocomial bloodstream infection (BSI) is a common occurrence in the intensive care unit (ICU) and is associated with a crude mortality of 31.5 to 82.4%. However, an accurate estimate of the attributable mortality has been limited because of confounding by severity of illness. We undertook this study to assess the attributable mortality and costs associated with an episode of BSI. Infected patients were defined as those who had an episode of BSI during the study period. Uninfected control subjects were matched to the infected patients based upon a number of factors, including predicted mortality on the day prior to infection. The main outcome measures were crude ICU mortality, length of stay, and costs. We found no difference in the crude mortality for the infected and the uninfected patients (35.3 and 30.9%, respectively, p = 0.51). However, among survivors, the patients with nosocomial bloodstream infections did have excess length of stay (mean, 10 d; median, 5 d; p = 0.007) and increased direct costs (mean difference, $34,508; p = 0.008). After matching for severity of illness, we could not detect an association between primary nosocomial bloodstream infections and increased ICU mortality. We did find that primary nosocomial bloodstream infections increased ICU length of stay and costs.
Bloodstream infection
Bacteremia
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