scholarly journals Finding Factors Associated With Post–Emergency Department Morbidity and Mortality in Elderly Patients: Analyzing a Case-Control Study

2016 ◽  
Vol 68 (1) ◽  
pp. 123-124
Author(s):  
Nupur Garg
2018 ◽  
Vol 51 (3-4) ◽  
pp. 123-127 ◽  
Author(s):  
Abhay Venkat ◽  
Cecilia Cappelen-Smith ◽  
Shabeel Askar ◽  
Peter R. Thomas ◽  
Sonu Bhaskar ◽  
...  

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 320
Author(s):  
Fayaz Khan ◽  
Mohamed Faisal Chevidikunnan

Stroke is a major cause of disability worldwide, and balance impairments are common disabling factors in patients with stroke, leading to falls. Thus, the study objectives were as follows: (i) To find the prevalence of balance impairment among patients with stroke. (ii) To find out the factors associated with balance impairment in patients with stroke. This cross-sectional retrospective case control study involved eighty-one post stroke patients with a mean age of 58.36 ± 14.06, recruited from six hospitals, who underwent an assessment of balance, walking speed, depression and isometric strength of the ankle and knee. These patients were later categorized into subjects with good balance (<45) in the Berg balance scale (BBS) and those with poor balance (≥45), as cases and controls, to assess the factors associated with balance impairment using binary logistic regression. The prevalence of balance impairment among patients with stroke was 48.1%. The reduction in power of knee flexors (OR = 0.858), knee extensors (OR = 0.880) and ankle dorsiflexors (OR = 0.820) was found to be significantly associated with balance impairment, along with speed (OR = 1.187 (95% CI = 1.100, 1.280)), depression (OR = 1.331 (95% CI = 1.055–1.679)) and activities of daily living (OR = 0.313 (95% CI = 0.150–0.650)). In summary, around half of the patients with stroke exhibited balance impairments, with females being more prone.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.


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