scholarly journals Baseline clinical characteristics and prognostic factors in hospitalized COVID-19 patients aged ≤ 65 years: A retrospective observational study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248829
Author(s):  
Marta Betti ◽  
Marinella Bertolotti ◽  
Daniela Ferrante ◽  
Annalisa Roveta ◽  
Carolina Pelazza ◽  
...  
Keyword(s):  
Platelet Count ◽  
Prognostic Factors ◽  
Observational Study ◽  
Logistic Model ◽  
Severe Disease ◽  
Young Patients ◽  
Clinical Manifestations ◽  
Epidemiological Data ◽  
Retrospective Observational Study ◽  
Multivariable Logistic Regression Analysis

Background Individual differences in susceptibility to SARS-CoV-2 infection, symptomatology and clinical manifestation of COVID-19 have thus far been observed but little is known about the prognostic factors of young patients. Methods A retrospective observational study was conducted on 171 patients aged ≤ 65 years hospitalized in Alessandria’s Hospital from 1st March to 30th April 2020 with laboratory confirmed COVID-19. Epidemiological data, symptoms at onset, clinical manifestations, Charlson Comorbidity Index, laboratory parameters, radiological findings and complications were considered. Patients were divided into two groups on the basis of COVID-19 severity. Multivariable logistic regression analysis was used to establish factors associated with the development of a moderate or severe disease. Findings A total of 171 patients (89 with mild/moderate disease, 82 with severe/critical disease), of which 61% males and a mean age (± SD) of 53.6 (± 9.7) were included. The multivariable logistic model identified age (50–65 vs 18–49; OR = 3.23 CI95% 1.42–7.37), platelet count (per 100 units of increase OR = 0.61 CI95% 0.42–0.89), c-reactive protein (CPR) (per unit of increase OR = 1.12 CI95% 1.06–1.20) as risk factors for severe or critical disease. The multivariable logistic model showed a good discriminating capacity with a C-index value of 0.76. Interpretation Patients aged ≥ 50 years with low platelet count and high CRP are more likely to develop severe or critical illness. These findings might contribute to improved clinical management.

scholarly journals Clinical manifestations of dengue in relation to dengue serotype and genotype in Malaysia: A retrospective observational study

2018 ◽  
Vol 12 (9) ◽  
pp. e0006817 ◽  
Author(s):  
Jeyanthi Suppiah ◽  
Siew-Mooi Ching ◽  
Syafinaz Amin-Nordin ◽  
Lailatul-Akmar Mat-Nor ◽  
Naematul-Ain Ahmad-Najimudin ◽  
...  
Keyword(s):  
Observational Study ◽  
Clinical Manifestations ◽  
Retrospective Observational Study

scholarly journals Role of platelet distribution width and plateletcrit in assessment of nonthrombocytopenic preeclampsia and eclampsia in a tertiary care hospital of Odisha: an observational study

2020 ◽  
Vol 9 (5) ◽  
pp. 1996
Author(s):  
Kirtirekha Mohapatra ◽  
Pranati Mohanty ◽  
Nahida Nigar Sultana
Keyword(s):  
Platelet Count ◽  
Observational Study ◽  
Severe Disease ◽  
Tertiary Care ◽  
Measurement Tool ◽  
Care Hospital ◽  
Platelet Distribution Width ◽  
Distribution Width ◽  
Platelet Indices

Background: Preeclampsia (PE) is a major cause of maternal and foetal morbidity and mortality in pregnancy. A decreased platelet count is observed during the progression of preeclampsia, and is considered a marker of the severity of preeclampsia. Considering the role of the PDW, PCT and platelet indices during the disease, the aim of this study was to evaluate the feasibility of using platelet indices as a severity marker for PE.Methods: This was a prospective, observational study, hospital-based study, from 2017-19 with 400 pregnant women being included on the basis of a predefined inclusion and exclusion criteria, through antenatal clinic, and labour room of the department of obstetrics and gynecology, S. C. B. Medical College, Cuttack, Odisha, India.Results: Study found that platelet count and plateletcrit showed a significant negative correlation with MAP whereas platelet distribution width showed a maximum positive correlation. In the preeclampsia group, subjects with PCT <0.22% were at risk of developing severe disease with a sensitivity of 53.5% and a high specificity of 85.5%. The AUC of 0.75 showed that it has a good predictability. In the eclampsia group, subjects with PCT <0.16% had a risk of developing severe disease with a sensitivity of 89.5% and specificity of 73.7%. The AUC 0.9 shows PCT to be a good predictor for assessing severity of eclampsia.Conclusions: This study suggests that platelet distribution width and plateletcrit are useful in risk evaluation of preeclampsia. These are a valid measurement tool to predict the severe progression of PE even when normal platelet counts are observed.

scholarly journals Trends in Hospital Admissions for Pertussis Infection: A Nationwide Retrospective Observational Study in Italy, 2002–2016

2019 ◽  
Vol 16 (22) ◽  
pp. 4531 ◽  
Author(s):  
Fiasca ◽  
Gabutti ◽  
Mattei
Keyword(s):  
Observational Study ◽  
Vaccination Coverage ◽  
Hospital Admissions ◽  
Clinical Manifestations ◽  
Immunization Coverage ◽  
Integrated Approach ◽  
Retrospective Observational Study ◽  
Public Health Issue ◽  
Age Group ◽  
Pertussis Infection

Background: Pertussis is a highly contagious infectious disease which continues to be an important public-health issue despite the high immunization coverage rates achieved. However, evidence of increased circulation of pertussis among adolescents and adults due to waning immunity and atypical clinical manifestations seem to be the main reasons for its resurgence. The aim of this study was the analysis of the epidemiological trend for pertussis-related hospitalizations in Italy, in relation with vaccination coverage and information from laboratory confirmed cases of pertussis. Methods: A retrospective observational study investigating hospitalizations for pertussis from 2002 to 2016 in Italy was conducted. Frequencies and rates of hospitalization were analyzed and hospitalization data were compared with a series of already published laboratory confirmed data. Results: This study highlighted a rising trend for pertussis hospitalizations in Italy since 2008. Infants aged <1 year showed the highest frequencies (63.39%) and average rates (74.60 × 100000 infants) of hospitalization despite an extremely high vaccination coverage (95.89%). An increasing trend of hospitalization frequency emerged for the age group with levels of IgG antibodies to pertussis toxin compatible with pertussis infection within the last year (20–29 years old age group). Conclusions: The rising trend for pertussis hospitalizations and the greater involvement of infants aged <1 year require an integrated approach, including the implementation of booster doses administration in adolescence and adulthood, the vaccination of pregnant women and the cocoon strategy.

scholarly journals Demographic and clinic-angiographic profile of coronary artery disease in young adults: a retrospective observational study

2018 ◽  
Vol 6 (7) ◽  
pp. 2264 ◽  
Author(s):  
Lalatendu Swain ◽  
Prabhat Nalini Routray
Keyword(s):  
Young Adults ◽  
Heart Disease ◽  
Coronary Artery ◽  
Coronary Angiography ◽  
Observational Study ◽  
Young Patients ◽  
Retrospective Observational Study ◽  
Age Group ◽  
Artery Disease ◽  
One Year

Background: Cardiovascular diseases (CVD) and its complications are on an increased trend in the younger age group. In this study we aimed to identify the different risk factor profile and coronary angiographic characteristics of young adults presenting with coronary artery disease.Methods: We conducted this retrospective observational study at SCB MC and H and Ashwini Hospital, Cuttack, Odisha, India over a period of one year from June 2016 to June 2017 on 170 patients who undergone coronary angiogram. Inclusion criteria being patients admitted for STEMI, NSTEMI, or UA, age <40 years and those who underwent coronary angiography. All patients who underwent coronary angiography for surgical fitness e.g., patients of rheumatic heart disease and congenital heart disease were excluded from the study.Results: Among the 150 cases included in the study, 85.3%were males and 14.7% were females. Maximum number of cases i.e. 71.3% were in the age group 36-40 yr, while 23.3% were between 31-35 and 5.4% were between 25-30 age group. Among 150 cases with critical CAD, SVD was most prevalent seen in 68.7% cases, followed by DVD in 22.6% and TVD in 8.7% cases.Conclusions: Incidence of critical CAD in young adults is quite high. Young patients with CAD are mainly males, and SVD is more common. Comparative analysis of young patients with STEMI and NTEMI/ UA revealed that SVD was predominantly involved in STEMI group, whereas TVD was predominant in NSTEMI/UA group.

scholarly journals Prognostic factors of carbon monoxide poisoning in Taiwan: a retrospective observational study

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e031135 ◽  
Author(s):  
Ke-Ting Pan ◽  
Chih-Hao Shen ◽  
Fu-Gong Lin ◽  
Yu-Ching Chou ◽  
Ben Croxford ◽  
...  
Keyword(s):  
Carbon Monoxide ◽  
Logistic Regression ◽  
Prognostic Factors ◽  
Observational Study ◽  
General Hospital ◽  
Roc Curve ◽  
Carbon Monoxide Poisoning ◽  
Retrospective Observational Study ◽  
Poor Outcomes ◽  
Gcs Score

ObjectivesTo identify the risk factors related to the prognosis of carbon monoxide (CO)-poisoned patients in the hospital.DesignRetrospective observational study.SettingTri-Service General Hospital, Taiwan.MethodsWe conducted a review of the medical records of 669 CO-poisoned patients, who were admitted to the Department of Emergency, Tri-Service General Hospital, Taiwan, from 2009 to 2014. Demographic, clinical and laboratory data were collected for analysis. In the study, the end points for poor outcome were patients who either still had sequelae, were bedridden or died after treatment. The independent t-test, χ2 test and binary logistic regression were used to identify the association between the prognostic factors and the outcomes.ResultsThe logistic regression analysis confirmed that the Glasgow Coma Scale (GCS) score (p=0.008) and blood urea nitrogen (BUN) (p=0.002) were related to poor outcomes. Furthermore, the receiver operating characteristic (ROC) curve showed that the cut-off point of intubation days was 1.5 days (area under the ROC curve [AUC]=0.793) for all patients and 2.5 days (AUC=0.817) for patients with intubation when predicting poor outcomes.ConclusionWe identified the factors that most strongly predict the prognosis of CO poisoning, including the GCS score, serum BUN and intubation days. Moreover, the number of hyperbaric oxygen treatments seems to have impact of the outcome.

Age and platelet count are IPSS-independent prognostic factors in young patients with primary myelofibrosis and complement IPSS in predicting very long or very short survival

2010 ◽  
Vol 84 (2) ◽  
pp. 105-108 ◽  
Author(s):  
Mrinal M. Patnaik ◽  
Domenica Caramazza ◽  
Naseema Gangat ◽  
Curtis A. Hanson ◽  
Animesh Pardanani ◽  
...  
Keyword(s):  
Platelet Count ◽  
Prognostic Factors ◽  
Young Patients ◽  
Primary Myelofibrosis ◽  
Short Survival

scholarly journals Long-Term Exposure to PM10 Above WHO Guidelines Exacerbates COVID-19 Severity and Mortality

2021 ◽  
Author(s):  
Montse Marquès ◽  
Eudald Correig ◽  
Daiana Ibarretxe ◽  
Eva Anoro ◽  
Juan Antonio Arroyo ◽  
...  
Keyword(s):  
Observational Study ◽  
Health Outcomes ◽  
Predictive Models ◽  
Severe Disease ◽  
Important Variable ◽  
Retrospective Observational Study ◽  
Who Guidelines ◽  
Odds Ratios ◽  
The Relationship

Abstract A retrospective observational study with patients suffering COVID-19 was performed to assess the underlying effect of long-term exposure to NO2 and PM10 on the COVID-19 outcomes. We built multivariate predictive models to assess the relationship between the long-term exposure to NO2 and PM10 and COVID-19 outcomes. The probability of either death or severe COVID-19 outcome and the percentage of dead or severe patients were predicted, while odds ratios and effects estimates were calculated. Whilst the long-term exposure to NO2 is a variable with a rather low importance in the prediction of COVID-19 health outcomes, the long-term exposure to PM10 is a more important variable than some stated comorbidities. PM10 showed the highest effects estimates (1.65, 95% CI 1.32-2.06) on COVID-19 severity. For mortality, the highest effect estimates corresponded to age (3.59, 95% CI 2.94-4.40), followed by PM10 (2.37, 95% CI 1.71-3.32). Finally, an increase of 1 µg/m3 in PM10 concentration causes an increase of 3.06% (95% CI 1.11%-4.25%) and 2.68% (95% CI 0.53%-5.58%) of patients suffering COVID-19 as a severe disease and deaths, respectively. These results demonstrate that long-term PM10 burdens above WHO guidelines exacerbate COVID-19 outcomes, while it must be considered for an accurate medical prognosis of COVID-19.

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