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25 hydroxyvitamin D levels, nonalcoholic fatty liver disease

25 hydroxyvitamin D levels, nonalcoholic fatty liver disease
dovepress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from dovepress.com Daily Mail and Mail on Sunday newspapers.

Eteläuomen Läi , Capital Medical University , World Health Organization , Endocrinology Department , World Medical Association , Ethics Committee Of Beijing Shijitan Hospital , Department Of Endocrinology , Ethics Committee , Beijing Shijitan Hospital , Clinical Data , Logistic Regression Analysis Reveals , Independent Predictors , Logistic Regression Analysis , Factors Associated , Different Degrees , Liver Fibrosis , மூலதனம் மருத்துவ பல்கலைக்கழகம் , உலகம் ஆரோக்கியம் ஆர்கநைஸேஶந் , உட்சுரப்பியல் துறை , உலகம் மருத்துவ சங்கம் , துறை ஆஃப் உட்சுரப்பியல் , நெறிமுறைகள் குழு , மருத்துவ தகவல்கள் , லாஜிஸ்டிக் பின்னடைவு பகுப்பாய்வு , காரணிகள் தொடர்புடையது , கல்லீரல் ஃபைப்ரோஸிஸ் ,

Demographic and Clinical Characteristics on Disease Severity

D) Diffuse involvement.
The distribution of disease severity was mild in 40.9% (n 221), severe in 53.7% (n 290), and critical in 5.4% (n 29) of patients (Table 3). The median patient age was significantly lower among patients with mild disease than among patients with severe or critical disease (p 0.001 for both comparisons). In this study, there were more male patients (55.9%) than female patients (44.1%). However, no significant sex-related difference was observed in terms of disease severity (p 0.178). Smoking frequency (ie, median packs/year) was significantly lower in patients with mild disease than in patients with severe or critical disease (p 0.001 and p 0.016, respectively).
Table 3 Comparisons of Age, Sex, Smoking, Vital Signs and Risk Score in Patient Groups Classified According to the Disease Severity (Mild, Moderate, and Severe) ....

United States , Eteläuomen Läi , American College Of Radiology , Emergency Department , International Classification Of Disease , Haseki Research , Turkish Ministry Of Health , A Chinese Centers For Disease , Comparison Of Laboratory Findings In Survivors , Hubei Province , Institutional Review Board , Training Hospital , Advisory Board , Coronavirus Research , Turkish Ministry , Logistic Regression Analysis , Determine Disease , Hospital Stay , Vital Signs , Risk Score , Laboratory Findings , American College , Chinese Centers , Disease Control , ஒன்றுபட்டது மாநிலங்களில் , அமெரிக்கன் கல்லூரி ஆஃப் கதிரியக்கவியல் ,

Vitamin D Deficiency and Respiratory Tract Infections

Evaluating the prevalence of vitamin D deficiency and insufficiency in university students, and correlations with episodes of respiratory tract infections. ....

Eteläuomen Läi , Ash Shariqah , United Arab Emirates , United States , United Kingdom , Abu Dhabi , World Medical Association Declaration Of Helsinki Ethical , Third National Health , Dentistry College , University Of Sharjah , Association Between Respiratory Tract Infections Incidents , United Arab Emirates University , Association Between Demographic , College Of Medicine , College Of Pharmacy , Nutrition Examination , Health Sciences , Middle Eastern , World Medical Association Declaration , Helsinki Ethical , Anthropometric Characteristics , Between Demographic , Deficiency Level , Participants Students , Univariate Logistic , Logistic Regression Analysis ,

COVID-19 diseases severity categorization

Patients and Methods
Study Design
This retrospective observational study was conducted on COVID-19 patients (positive polymerase chain reaction [PCR] results via nasopharyngeal swab) between June 1 and mid July 2020. Patients were recruited from Kasr Al-Aini School of Medicine, Cairo University Hospitals.
We included all adult patients (18 −75 years) suffering from mild or moderate COVID-19 infection according to World Health Organization (WHO) criteria for the clinical management of COVID-19.
11 Patients were excluded if they had severe COVID-19 disease, were hospitalized, or had unavailable nasopharyngeal swab results.
According to WHO classification, COVID-19 infection was categorized into mild, moderate or severe infection. Mild COVID-19 defines as respiratory symptoms without evidence of pneumonia or hypoxia, while moderate or severe infection defined as presence of clinical and radiological evidence of pneumonia. In moderate cases, SpO2 ≥90% on room a ....

United States , Binshangul Gumuz , Cairo University Hospitals , Laboratory Characteristics Of The Studied Groups , World Health Organization , Kasr Al Aini School Of Medicine , Laboratory Characteristics Of The Studied Patients , Plain Language , Kasr Al Aini School , Cairo University , Logistic Regression Analysis , ஒன்றுபட்டது மாநிலங்களில் , கெய்ரோ பல்கலைக்கழகம் மருத்துவமனைகள் , உலகம் ஆரோக்கியம் ஆர்கநைஸேஶந் , வெற்று மொழி , கெய்ரோ பல்கலைக்கழகம் , லாஜிஸ்டிக் பின்னடைவு பகுப்பாய்வு ,

Camel Trypanosomosis in Yabelo and Gomole Districts in Ethiopia: Preva

Trypanosoma evansi and it is endemic in tropical and subtropical areas.
9 Camel trypanosomosis is the most prevalent disease in Ethiopia (22%) and serious economic loss results from morbidity (30.0%) and mortality (3.0%) of camels in the country.
1 Camel trypanosomosis or Surra is one of the major problems worldwide and it can attack camels at any age, even fetuses. In Ethiopia particularly in the Borana zone, the disease is widespread reducing thus the camel production and productivity.
10 Usually, trypanosomosis in camel results in anemia, weight loss, pale mucous membranes, enlarged lymph node, loss of milk and meat, and abortion.
The principle for the management of camel trypanosomosis was dependent on reducing the contact between camel and vectors. To effectively control camel trypanosomosis, it is crucial to know the magnitude and associated risk factors of the disease in the areas. This study helps to implement appropriate control and prevention methods. How ....

Addis Ababa , Afan Oromo , Laboratory Examination , Association Between Anemia , Sample Size , Abba Olla , Microsoft Excel , Camel Trypanosomosis , Between Anemia , Logistic Regression Analysis , Risk Factors , Presumptive Risk Factors , Multivariable Logistic Regression Model , Potential Risk Factors , அபான ஆரொமொ , மாதிரி அளவு , தந்தை ஓலா , மைக்ரோசாஃப்ட் எக்செல் , லாஜிஸ்டிக் பின்னடைவு பகுப்பாய்வு , ஆபத்து காரணிகள் , பொடெந்ஶியல் ஆபத்து காரணிகள் ,