Clinicopathologic and epidemiological features of cor biloculare

2010 ◽  
Vol 34 (8) ◽  
pp. S72-S72
Author(s):  
Ruilin Yan ◽  
Guangtao Xu ◽  
Xiaoyan Pan ◽  
Xinmei Zhou ◽  
Meiliang Zhang
Keyword(s):  
Epidemiological Features

Assessment of Risk Factors for Severe Coronavirus Disease 2019 among Iranian Patients

2020 ◽  
Keyword(s):  
Risk Factors ◽  
Immune System ◽  
Medical Records ◽  
Critical Role ◽  
Diabetic Patients ◽  
Medication History ◽  
Epidemiological Features ◽  
Hookah Smoking ◽  
And Behavior ◽  
Iranian Patients

Background: The outbreak of Coronavirus Disease 2019 (COVID-19) has led to a major concern for those who are more vulnerable to infections. Objectives: This study aimed to evaluate the most important risk factors for severe COVID-19 pneumonia. Methods: This retrospective study included information on clinical and epidemiological features of 105 patients with severe COVID-19 pneumonia hospitalized in Tajrish Hospital, Tehran, Iran. Initially, the medical records of the patients were investigated, and an interview was conducted based on a pre-prepared checklist to seek information about symptoms, past medical history, medication history, and behavior before hospitalization. Results: Out of 105 participants, 76 (72.5%) cases were male, and 54 (51.4%) patients were older than 54 years old. The majority of the patients (n=18; 17.1%) had both hypertension and diabetes (n=12; 11.4%). Metformin (n=36; 34.3%) was the most used medication amongst the studied patient. In addition, 24 (22.9%) patients were recreational hookah smokers, and the majority (75%) of them were under the age of 46 years old. Eventually, 19 patients were excluded from the study, of whom 11 individuals had diabetes, and 10 cases were using metformin. Conclusion: Apparently, hookah smoking played a critical role in the spread of COVID-19 in Iran and has made younger people more susceptible. In addition to older age, the immunosuppressive effects of Metformin seem to make diabetic patients with an impaired immune system more vulnerable to severe COVID-19 pneumonia. More studies on the immune system of vulnerable individuals by identifying their differences can help to protect them.

Study of clinical and epidemiological features of psoriasis at a tertiary care center

2019 ◽  
Vol 11 (3) ◽  
pp. 206-209
Author(s):  
Girish Dnyandeo Narkhede ◽  
◽  
Subha Shriraj Mahajan ◽  
Keyword(s):  
Care Center ◽  
Tertiary Care ◽  
Tertiary Care Center ◽  
Epidemiological Features

Epidemiological Characteristics of Meningococcal Infection in Moscow

2020 ◽  
Vol 19 (2) ◽  
pp. 56-62
Author(s):  
M. I. Gritsay ◽  
M. A. Koroleva ◽  
N. N. Fomkina ◽  
I. S. Koroleva
Keyword(s):  
Young Adults ◽  
Mortality Rate ◽  
Incidence Rate ◽  
Meningococcal Disease ◽  
Invasive Meningococcal Disease ◽  
Meningococcal Infection ◽  
Epidemic Process ◽  
Epidemiological Features ◽  
Teenagers And Young Adults ◽  
Epidemiological Characteristics

Aims. The purpose of this study was to identify current epidemiological features of meningococcal infection in Moscow.Materials and methods. Cases of invasive meningococcal disease in Moscow from 2014 to 2018 and the biomaterial from patients with an invasive meningococcal disease were analyzed.Results. The features of the epidemic process of meningococcal disease in Moscow were revealed: increasing in the incidence rate involving teenagers and young adults into the epidemic process; meningococcal strains of serogroups W and A increased in the etiology of the invasive meningococcal disease; high mortality rate.Conclusions. It seems reasonable to recommend vaccination against meningococcal disease by including adolescents, young adults and persons over 65 years old.

Clinical and epidemiological features of Kala-Azar in children

1995 ◽  
Vol 71 (5) ◽  
pp. 261-265 ◽  
Author(s):  
Dioclécio Campos Júnior
Keyword(s):  
Kala Azar ◽  
Epidemiological Features

scholarly journals Etiological and epidemiological features of acute respiratory infections in China

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhong-Jie Li ◽  
Hai-Yang Zhang ◽  
Li-Li Ren ◽  
Qing-Bin Lu ◽  
Xiang Ren ◽  
...  
Keyword(s):  
Respiratory Infections ◽  
Bacterial Pathogens ◽  
Acute Respiratory Tract Infection ◽  
School Age Children ◽  
Positive Interactions ◽  
Acute Respiratory Infections ◽  
Epidemiological Features ◽  
Point Analysis ◽  
Syncytial Virus ◽  
And Control

AbstractNationwide prospective surveillance of all-age patients with acute respiratory infections was conducted in China between 2009‒2019. Here we report the etiological and epidemiological features of the 231,107 eligible patients enrolled in this analysis. Children <5 years old and school-age children have the highest viral positivity rate (46.9%) and bacterial positivity rate (30.9%). Influenza virus, respiratory syncytial virus and human rhinovirus are the three leading viral pathogens with proportions of 28.5%, 16.8% and 16.7%, and Streptococcus pneumoniae, Mycoplasma pneumoniae and Klebsiella pneumoniae are the three leading bacterial pathogens (29.9%, 18.6% and 15.8%). Negative interactions between viruses and positive interactions between viral and bacterial pathogens are common. A Join-Point analysis reveals the age-specific positivity rate and how this varied for individual pathogens. These data indicate that differential priorities for diagnosis, prevention and control should be highlighted in terms of acute respiratory tract infection patients’ demography, geographic locations and season of illness in China.

scholarly journals A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi-Ning Dai ◽  
Wei Zheng ◽  
Qing-Qing Wu ◽  
Tian-Chen Hui ◽  
Nan-Nan Sun ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Clinical Manifestations ◽  
Cost Effective ◽  
Rapid Screening ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Screening Model ◽  
Epidemiological Features ◽  
Geographical Regions ◽  
Novel Coronavirus

AbstractNovel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from January 17 to February 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920. At a cut-off value of 1.0, the model could determine NCP with a sensitivity of 85% and a specificity of 82.3%. We further developed a simplified model by combining the geographical regions and rounding the coefficients, with the AUROC of 0.909, as well as a model without epidemiological factors with the AUROC of 0.859. The study demonstrated that the screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP.

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