scholarly journals Cardiotocographic features in COVID-19 infected pregnant women

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Selcan Sinaci ◽  
Doga Fatma Ocal ◽  
Eda Ozden Tokalioglu ◽  
Filiz Halici Ozturk ◽  
Selvi Aydin Senel ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Significant Relationship ◽  
Prospective Cohort ◽  
Uterine Contractility ◽  
Management Guideline ◽  
The Third ◽  
Category Variability ◽  
Severity Of The Disease ◽  
Novel Coronavirus

Abstract Objectives We aimed to evaluate the cardiotocograph (CTG) traces of 224 women infected with novel coronavirus 2019 (COVID-19) and analyze whether changes in the CTG traces are related to the severity of COVID-19. Methods We designed a prospective cohort study. Two-hundred and twenty-four women who had a single pregnancy of 32 weeks or more, and tested positive for SARS-CoV-2 were included. Clinical diagnosis and classifications were made according to the Chinese management guideline for COVID-19 (version 6.0). Patients were classified into categories as mild, moderate, severe and the CTG traces were observed comparing the hospital admission with the third day of positivity. Results There was no statistically significant relationship between COVID-19 severity and CTG category, variability, tachycardia, bradycardia, acceleration, deceleration, and uterine contractility, Apgar 1st and 5th min. Conclusions Maternal COVID-19 infection can cause changes that can be observed in CTG. Regardless of the severity of the disease, COVID-19 infection is associated with changes in CTG. The increase in the baseline is the most obvious change.

scholarly journals Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Characteristic Curve ◽  
Adverse Outcomes ◽  
Neutrophil To Lymphocyte Ratio ◽  
Predictive Values ◽  
Lymphocyte Ratio

Abstract Background Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources. Objective To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death). Methods We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment. Results During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P < 0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P < 0.001; death vs. survival: 7.19 vs. 2.25, P < 0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively. Conclusions The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

scholarly journals Risk Factors for Hospital Admission After a Fall: A Prospective Cohort Study of Community-Dwelling Older People

2020 ◽  
Author(s):  
Jessica G Abell ◽  
Camille Lassale ◽  
G David Batty ◽  
Paola Zaninotto
Keyword(s):  
Risk Factors ◽  
Urinary Incontinence ◽  
Cohort Study ◽  
Hospital Admission ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Hazard Ratio ◽  
Community Dwelling ◽  
Subdistribution Hazard ◽  
Risk Of Death

Abstract Background Falls in later life that require admission to hospital have well-established consequences for future disability and health. The likelihood and severity of a fall will result from the presence of one or more risk factors. The aim of this study is to examine risk factors identified for their ability to prevent falls and to assess whether they are associated with hospital admission after a fall. Methods Analyses of data from the English Longitudinal Study of Aging (ELSA), a prospective cohort study. In a sample of 3783 men and women older than 60 years old, a range of potential risk factors measured at Wave 4 (demographic, social environment, physical, and mental functioning) were examined as predictors of fall-related hospitalizations, identified using International Classification of Diseases, 10th Revision (ICD-10) code from linked hospital records in the United Kingdom. Subdistribution hazard models were used to account for competing risk of death. Results Several risk factors identified by previous work were confirmed. Suffering from urinary incontinence (subdistribution hazard ratio = 1.49; 95% CI: 1.14, 1.95) and osteoporosis (subdistribution hazard ratio = 1.48; 95% CI: 1.05, 2.07), which are not commonly considered at an early stage of screening, were found to be associated with hospital admission after a fall. Both low and moderate levels of physical activity were also found to somewhat increase the risk of hospital admission after a fall. Conclusions Several predictors of having a fall, severe enough to require hospital admission, have been confirmed. In particular, urinary incontinence should be considered at an earlier point in the assessment of risk.

scholarly journals Diabetes as a risk factor for severe exacerbation and death in patients with COPD: a prospective cohort study

2020 ◽  
Vol 30 (4) ◽  
pp. 822-827
Author(s):  
Maria T Castañ-Abad ◽  
Josep Montserrat-Capdevila ◽  
Pere Godoy ◽  
Josep R Marsal ◽  
Marta Ortega ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Lung Disease ◽  
Prospective Cohort ◽  
Obstructive Lung Disease ◽  
Chronic Obstructive Lung Disease ◽  
Chronic Obstructive ◽  
Severe Exacerbation ◽  
Copd Patients ◽  
Global Initiative

Abstract Background Type 2 diabetes comorbidity is common in patients with COPD. One of the most frequent causes of hospital admission in patients with COPD are exacerbations. Methods Prospective cohort study, which included 512 patients with COPD recruited in a primary care centre in Mollerussa (Lleida, Spain). Inclusion criteria were: patients &gt;40 years of age with COPD according to the Global Initiative for Chronic Obstructive Lung Disease. Variables collected were as follows: age, gender, civil status, education level, smoking habit, severity (Global Initiative for Chronic Obstructive Lung Disease), comorbidities (Charlson), history of severe exacerbations, dyspnoea (mMRC), BODEx, EuroQol 5 D and depression (HAD). Logistic regression was used to determine the association of diabetes with risk of hospital admission and death. Results Prevalence of diabetes was 25.8%. During the second year of follow up, 18.2% of patients with COPD and diabetes were admitted for exacerbation, in comparison with 8.9% non-diabetic COPD patients. The variables associated with hospital admission were diabetes (ORa=1.54); gender (men, ORa=1.93); age (ORa=1.02); number of hospital admissions during the previous year: 1 (ORa=2.83) or more than one admission (ORa=4.08); EuroQol 5 D (ORa=0.76) and BODEx (ORa=1.24). With the exclusion of BODEx, all these variables were associated with a higher risk of death. Conclusion Prevalence of diabetes is high in patients suffering from COPD. COPD patients with diabetes are at higher risk of severe exacerbation and death. The suggested predictive model could identify patients at higher risk so that adequate preventive and therapeutic measures can be implemented.

scholarly journals Baseline Functional Status and One-year Mortality After Hospital Admission in Elderly Patients: a prospective cohort study

2020 ◽  
Vol 77 (3) ◽  
pp. 143-148
Author(s):  
Victoria Sáenz ◽  
Nicolas Zuljevic ◽  
Cristina Elizondo ◽  
Iñaki Martin Lesende ◽  
Diego Caruso
Keyword(s):  
Cohort Study ◽  
Elderly Patients ◽  
Hospital Admission ◽  
Functional Status ◽  
Prospective Cohort ◽  
Functional Decline ◽  
Long Term Outcomes ◽  
One Year

Introduction: Hospitalization represents a major factor that may precipitate the loss of functional status and the cascade into dependence. The main objective of our study was to determine the effect of functional status measured before hospital admission on survival at one year after hospitalization in elderly patients. Methods: Prospective cohort study of adult patients (over 65 years of age) admitted to either the general ward or intensive Care units (ICU) of a tertiary teaching hospital in Buenos Aires, Argentina. Main exposure was the pre-admission functional status determined by means of the modified “VIDA” questionnaire, which evaluates the instrumental activities of daily living. We used a multivariate Cox proportional hazards model to estimate the effect of prior functional status on time to all-cause death while controlling for measured confounding. Secondarily, we analyzed the effect of post-discharge functional decline on long-term outcomes. Results: 297 patients were included in the present study. 12.8% died during hospitalization and 86 patients (33.2%) died within one year after hospital discharge. Functional status prior to hospital admission, measured by the VIDA questionnaire (e.g., one point increase), was associated with a lower hazard of all-cause mortality during follow-up (Hazard Ratio [HR]: 0.96; 95% Confidence Interval [CI]: 0.94–0.98). Finally, functional decline measured at 15 days after hospital discharge, was associated with higher risk of all-cause death during follow-up (HR: 2.19, 95% CI: 1.09–4.37) Conclusion: Pre-morbid functional status impacts long term outcomes after unplanned hospitalizations in elderly adults. Future studies should confirm these findings and evaluate the potential impact on clinical decision-making.

scholarly journals Long term outcomes following critical care hospital admission: A prospective cohort study of UK biobank participants✰,✰✰,★

2021 ◽  
Vol 6 ◽  
pp. 100121
Author(s):  
Joanne McPeake ◽  
Theodore J Iwashyna ◽  
Philip Henderson ◽  
Alastair H Leyland ◽  
Daniel Mackay ◽  
...  
Keyword(s):  
Critical Care ◽  
Cohort Study ◽  
Hospital Admission ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Care Hospital ◽  
Uk Biobank ◽  
Long Term Outcomes

Covid-19: An Insight over the Third Respiratory Global Emergency of the Century

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Sonali Batra ◽  
Sumit Sharma ◽  
Payal Verma ◽  
Nikhil Arora
Keyword(s):  
Scientific Data ◽  
Host Cells ◽  
Angiotensin Converting Enzyme 2 ◽  
The Third ◽  
Precautionary Measures ◽  
Severity Of The Disease ◽  
Novel Coronavirus ◽  
Diagnosis Of Infection ◽  
Global Data ◽  
Structural Aspects

Introduction: COVID-19 presents the global emergency in recent days and as a consequence the whole world is in a state of war. Continuous efforts by researchers are in process to establish sound scientific understanding regarding viral behavior and pathogenesis. Background: In recent days a lot of scientific data is published describing viral transfusion into host cells, comparing with SARS-CoV-1, viability of SARS-CoV-2, fatality and diagnosis of infection among infected patients. Thereby, motivating to take right decisions in order to treat and mitigate the COVID-19. Review results: Coronaviruses usually affect the respiratory tract and produce symptoms similar to pneumonia with varied complications. The spike protein on the surface of virus makes the SARS-CoV-2 phylogenetically different from other viruses of corona family. SARS-CoV-2 has an affinity for angiotensin converting enzyme-2 receptors present on human cells. The fatality of the disease is found to be low but the severity of the disease might vary from person to person. The incubation period is 14 days but the symptoms like dry cough and high fever are evident around 3-7 days. Already known anti inflammatory, immunomodulators and antiviral drugs are being tested and still under clinical trials. Conclusion: In this review, we are providing an insight over emergence, correlation with SARS-CoV-1 and interpretation of global data representing the severity of unexpected danger on humanity. Certain structural aspects and studies determining the viability of novel coronavirus have also been described. Moreover, case studies of recovered infected patients from COVID-19 explain the progression and patients pathophysiological conditions while suffering from infection. Clinical significance: There are many current strategies which are being tried and practiced to overcome this pandemic disease apart from precautionary measures. Although now, some decline has been seen, but the question still remain same standstill of whether the scientists are approaching towards the clinical solution, or still in midstream. This requires more study and intensive research to finally come to a concrete conclusion.

scholarly journals Self-rated worry is associated with hospital admission in out-of-hours telephone triage – a prospective cohort study

2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Hejdi Gamst-Jensen ◽  
Erika Frischknecht Christensen ◽  
Freddy Lippert ◽  
Fredrik Folke ◽  
Ingrid Egerod ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Telephone Triage ◽  
Out Of Hours
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