Background:Acute exacerbation of interstitial lung disease (AE-ILD) is associated with substantial mortality. This study evaluated clinical, laboratory, and radiological predictors of in-hospital mortality.Methods:A prospective observational study involving 150 AE-ILD hospitalisations was analysed. Admission characteristics were compared between survivors and non-survivors.Univariable and multivariable logistic regression analyses were performed to evaluate mortality associations.Results: Inhospital mortality was 36.0% (54/150). Previous home oxygen therapy (OR=3.45; p=0.002), HRCT abnormalities involving >50% of the lungs (OR=3.18; p=0.004), diffuse HRCT abnormalities (OR=3.33; p<0.001), reduced PaO₂/FiO₂ (OR=1.21 per 50-mmHg decrease; p=0.038), and lower serum albumin (OR=1.46 per 0.5-g/dL decrease; p=0.046) were associated with mortality in univariable analyses. None of the three variables in the adjusted model remained statistically significant. The model demonstrated modest discrimination (AUROC=0.670).Conclusion: Respiratory impairment, extensive radiological abnormalities, and baseline disease severity were associated with in-hospital mortality, although independent prediction remained limited.
This article addresses the problem of body composition analysis. The methods of anthropometric research are reviewed with a focus on their accessibility and accuracy. The advantages of bioelectrical impedance analysis as the most accessible and accurate method are highlighted. The possibility of its use in clinical practice and scientific research is shown. The individual components of the body are described, as well as changes in body composition during aging. The conclusion is made about the importance of establishing relationships between body composition changes and human functional capabilities, as well as various aging types.
Disorders of the musculoskeletal system pose a major medical and social problem for older people. The clinical phenomenon of locomotive syndrome (LS) is observed in senile asthenia (SA) and is a key feature of degenerative and inflammatory joint diseases. This article is a critical analysis of the literature on LS from the perspective of geriatrics and arthrology. It highlights that traditional methods for diagnosing joint diseases don't fully consider a key clinical and prognostic aspect: the patient's actual physical abilities, which directly affect their quality of life and level of independence. Currently, there is a growing need to develop comprehensive clinical assessment methods focused on functional indicators and early detection of joint diseases in elderly patients with osteoarthritis (OA) and SA. Objective of the review. Critical analysis of existing approaches to the diagnosis of sarcopenia in elderly patients with osteoarthritis and to identifying directions for future research.
Most of the pediatric surgical conditions or major congenital malformations are diagnosed on spot or with simple radiological imaging just like Tracheoesophageal Fistula (TEF), e.g., Inability to pass NG tube with coiling of NG tube on chest X-ray. But a few of them are still challenging to diagnose, just like ‘H’ type TEF because of delayed presentation as well as absent classical symptoms. (1) And even in today’s era where radiological accuracy has reached to a new level, this diagnosis is missed many times and only confirmed on table. Here we are reporting a case of ‘H’ type TEF, a 17 days old male child, whom we diagnosed on single attempt with virtual bronchoscopy.
Fingerprints are considered as the best tool of identification of a person. Fingerprint evidence is by far the mosteffective and reliable evidence in the court of law. The reason being fingerprint pattern persist same throughoutthe life and no two individual has similar pattern. Both blood group and dermatoglyphic pattern have geneticinheritance so an attempt has been made to analyze their correlation with gender and blood group of an individual.The objective of the study was to determine correlation (if any) between the fingerprint pattern, blood group andgender. The study was conducted on 150 students (88 males and 62 females) in the age group of 18-25 years.The fingerprint pattern of the study participants was compared with the gender and ABO-Rh blood group aftertaking their Informed written consent. Amongst ABO blood group, the most common blood group was O (40%),followed by B (35.33%), A (19.33%) and AB (5.34%). Rh + ve was the most common rhesus factor (97.33%). The loopwas the most common pattern (69.14%), followed by whorl (26.06%) and arch (4.80%). Frequency of loops werehighest in both the Rh-positive and Rh- negative subjects of ABO blood groups except O -ve blood group wherewhorls dominate. Loops are maximum seen in blood group B while whorls are more common in blood groupO and arches with blood group A. The present study confirms that loop is the most common type of fingerprintpattern while arch was the least common. The study revealed significant association between the Fingerprintpattern, Gender and ABO blood group.
