scholarly journals Factors Associated With Hospitalization in Children and Adolescents With SARS-CoV-2 Infection

2021 ◽  
pp. 000992282110598
Author(s):  
Jerry Y. Chao ◽  
Ariel Sugarman ◽  
Atsumi Kimura ◽  
Steven Flamer ◽  
Tina T. Jing ◽  
...  

In this retrospective study of 319 children with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we assessed whether age, asthma, obesity, diabetes, and socioeconomic status were associated with hospitalization for coronavirus disease 2019 (COVID-19). Demographic and clinical characteristics were assessed using univariate statistics, excluding incidental or unrelated positives. There was a bimodal distribution of age among hospitalized children. Obesity ( P < .001) and a past medical history of diabetes ( P = .001) were significantly more prevalent in hospitalized children, including cases of new-onset diabetes and diabetic ketoacidosis. Neither a past medical history of asthma nor lower socioeconomic status was associated with hospitalization. Although limited to a single center, the findings in this study may have important clinical implications. Targeted, proactive health outreach to children with obesity and diabetes, with prioritization of preventative efforts such as vaccination, may be important in preventing worse SARS-CoV-2 infection in this vulnerable group.

2021 ◽  
Author(s):  
hossein esmaeilzadeh ◽  
Anahita Sanaei Dashti ◽  
Negar Mortazavi ◽  
Fatemian Fatemian ◽  
Mohebat Vali

Abstract Backgrounds: Respiratory viruses are the main triggers of asthma. Coronavirus is shown to contribute to infections of the respiratory tract that can lead to prolong cough and asthma. Objectives: Present study aimed to determine the risk of developing Persistent cough and asthma-like symptoms in hospitalized children due to COVID-19. Methods: This prospective study was carried out in a tertiary referral center. During the COVID-19 pandemic, 69 hospitalized pediatric patients admitted with COVID-19 were observed from February2020 to January 2021. Clinical and laboratory data were recorded, and after discharge, patients were followed and visited for cough and asthma evaluation in one, 2 and 6 months later. Patients with asthma-like diagnosis in follow up define as asthma-like group and patients without any sign of asthma categorized as the non-asthma group. Asthma-like co-morbids and risk factors were evaluated and compared between two groups. Results: Most of the COVID-19 hospitalized patients (N=42) (58.5%) were not affected by asthma-like symptoms in follow-up. 60.9% of the COVID-19 patients were male. The asthma-like group cases had a significantly familial history of asthma (63.0%), past medical history of asthma (33.3%), and Allergic rhinitis (85.2%). Rates of signs and symptoms during hospitalization were significantly higher in patients with COVID-19 and past medical history of asthma. Conclusions: We found an asthma-like prevalence of 41.5% in the cohort of COVID-19 hospitalized children. Family history of asthma and previous history of asthma and allergic rhinitis are risk factors for asthma-like after COVID-19 hospitalization. COVID-19 presentations are more severe in the asthma-like group.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hesam Dashti ◽  
Elise C. Roche ◽  
David William Bates ◽  
Samia Mora ◽  
Olga Demler

AbstractAlthough models have been developed for predicting severity of COVID-19 from the medical history of patients, simplified models with good accuracy could be more practical. In this study, we examined utility of simpler models for estimating risk of hospitalization of patients with COVID-19 and mortality of these patients based on demographic characteristics (sex, age, race, median household income based on zip code) and smoking status of 12,347 patients who tested positive at Mass General Brigham centers. The corresponding electronic records were queried (02/26–07/14/2020) to construct derivation and validation cohorts. The derivation cohort was used to fit generalized linear models for estimating risk of hospitalization within 30 days of COVID-19 diagnosis and mortality within approximately 3 months for the hospitalized patients. In the validation cohort, the model resulted in c-statistics of 0.77 [95% CI 0.73–0.80] for hospitalization, and 0.84 [95% CI 0.74–0.94] for mortality among hospitalized patients. Higher risk was associated with older age, male sex, Black ethnicity, lower socioeconomic status, and current/past smoking status. The models can be applied to predict the absolute risks of hospitalization and mortality, and could aid in individualizing the decision making when detailed medical history of patients is not readily available.


2021 ◽  
pp. 0169796X2199685
Author(s):  
Svenn-Erik Mamelund ◽  
Jessica Dimka ◽  
Nan Zou Bakkeli

In the absence of vaccines to fight the COVID-19 pandemic, in 2020 governments had to respond by rely on non-pharmaceutical interventions (NPIs). Socioeconomic inequalities likely influenced the uptake of NPIs. Using Norwegian survey data, we study whether income was associated with increased handwashing, keeping 1 m distance, using facemasks increased use of home office, and less use of public transportation. Except for using facemasks and less public transportation in a non-work context, all analyzed NPIs showed an independent positive association with income. Social disparities in NPI uptake may be important drivers of higher risks of disease outcomes for people of lower socioeconomic status.


Author(s):  
Annamaria Biczok ◽  
Philipp Karschnia ◽  
Raffaela Vitalini ◽  
Markus Lenski ◽  
Tobias Greve ◽  
...  

Abstract Background Prognostic markers for meningioma recurrence are needed to guide patient management. Apart from rare hereditary syndromes, the impact of a previous unrelated tumor disease on meningioma recurrence has not been described before. Methods We retrospectively searched our database for patients with meningioma WHO grade I and complete resection provided between 2002 and 2016. Demographical, clinical, pathological, and outcome data were recorded. The following covariates were included in the statistical model: age, sex, clinical history of unrelated tumor disease, and localization (skull base vs. convexity). Particular interest was paid to the patients’ past medical history. The study endpoint was date of tumor recurrence on imaging. Prognostic factors were obtained from multivariate proportional hazards models. Results Out of 976 meningioma patients diagnosed with a meningioma WHO grade I, 416 patients fulfilled our inclusion criteria. We encountered 305 women and 111 men with a median age of 57 years (range: 21–89 years). Forty-six patients suffered from a tumor other than meningioma, and no TERT mutation was detected in these patients. There were no differences between patients with and without a positive oncological history in terms of age, tumor localization, or mitotic cell count. Clinical history of prior tumors other than meningioma showed the strongest association with meningioma recurrence (p = 0.004, HR = 3.113, CI = 1.431–6.771) both on uni- and multivariate analysis. Conclusion Past medical history of tumors other than meningioma might be associated with an increased risk of meningioma recurrence. A detailed pre-surgical history might help to identify patients at risk for early recurrence.


2017 ◽  
Vol 32 (3) ◽  
Author(s):  
Courtney L Hundley ◽  
Richard W. Wilson ◽  
John Chenault ◽  
Jamie L. Smimble

This was an exploratory study to assess the association between density of fringe lenders (e.g.payday) and health status. For Louisville, Kentucky, ZIP code level data on hospitalizations and mortalityrates as health measures were compared to fringe bank locations. We found lower socioeconomic status(SES) positively correlated with greater frequency of fringe banks; rates of illness appear to be higher in ZIPcodes with more fringe banks, but this finding was not statistically significant. In conclusion, neighbor-hoods between higher frequencies of fringe banks appear to have poorer health; it is premature to rule in orrule out a direct or indirect association between neighborhood presence of fringe banks, but there is enoughevidence to justify additional research to put any conclusions on a firmer footing.


Author(s):  
Chase A Rathfoot ◽  
Camron Edressi ◽  
Carolyn B Sanders ◽  
Krista Knisely ◽  
Nicolas Poupore ◽  
...  

Introduction : Previous research into the administration of rTPA therapy in acute ischemic stroke patients has largely focused on the general population, however the comorbid clinical factors held by stroke patients are important factors in clinical decision making. One such comorbid condition is Atrial Fibrillation. The purpose of this study is to determine the clinical factors associated with the administration of rtPA in Acute Ischemic Stroke (AIS) patients specifically with a past medical history of Atrial Fibrillation (AFib). Methods : The data for this analysis was collected at a regional stroke center from January 2010 to June 2016 in Greenville, SC. It was then analyzed retrospectively using a multivariate logistic regression to identify factors significantly associated with the inclusion or exclusion receiving rtPA therapy in the AIS/AFib patient population. This inclusion or exclusion is presented as an Odds Ratio and all data was analyzed using IBM SPSS. Results : A total of 158 patients with Atrial Fibrillation who had Acute Ischemic Strokes were identified. For the 158 patients, the clinical factors associated with receiving rtPA therapy were a Previous TIA event (OR = 12.155, 95% CI, 1.125‐131.294, P < 0.040), the administration of Antihypertensive medication before admission (OR = 7.157, 95% CI, 1.071‐47.837, P < 0.042), the administration of Diabetic medication before admission (OR = 13.058, 95% CI, 2.004‐85.105, P < 0.007), and serum LDL level (OR = 1.023, 95% CI, 1.004‐1.042, P < 0.16). Factors associated with not receiving rtPA therapy included a past medical history of Depression (OR = 0.012, 95% CI, 0.000‐0.401, P < 0.013) or Obesity (OR = 0.131, 95% CI, 0.034‐0.507, P < 0.003), Direct Admission to the Neurology Floor (OR = 0.179, 95% CI, 0.050‐0.639, P < 0.008), serum Lipid level (OR = 0.544, 95% CI, 0.381‐0.984, P < 0.044), and Diastolic Blood Pressure (OR = 0.896, 95% CI, 0.848‐0.946, P < 0.001). Conclusions : The results of this study demonstrate that there are significant associations between several clinical risk factors, patient lab values, and hospital admission factors in the administration of rTPA therapy to AIS patients with a past medical history of Atrial Fibrillation. Further research is recommended to determine the extent and reasoning behind of these associations as well as their impact on the clinical course for AIS/AFib patients.


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