17 research outputs found
The epidemiology and clinical features of rickettsial diseases in North Queensland, Australia: implications for patient identification and management
Background: Rickettsial infections are a common cause of hospitalization in tropical settings, although early diagnosis is challenging in the rural locations where these infections are usually seen.
Methods: This retrospective, clinical audit of microbiologically-confirmed cases of scrub typhus or spotted fever group (SFG) rickettsial infection between 1997 and 2016 was performed a tertiary referral hospital in tropical Australia. Clinical, laboratory and radiological findings at presentation were correlated with the patients’ subsequent clinical course.
Results: There were 135 locally-acquired cases (95 scrub typhus, 37 SFG, 3 undifferentiated). There were nine hospitalizations during the first 5 years of the study period and 81 in the last 5 years (p for trend = 0.003). Eighteen (13%) of the 135 cases required ICU admission, all of whom were adults. A greater proportion of patients with SFG infection required ICU support (8/37 (22%) compared with 10/95 (11%) scrub typhus cases), although this difference did not reach statistical significance (p = 0.10). Three (8%) of the 37 patients with SFG infection had severe disease (1 died, 2 developed permanent disability) versus 0/95 scrub typhus patients (p = 0.02). Adults with a high admission qSOFA score (≥2) had an odds ratio (OR) of 19 (95% CI:4.8–74.5) for subsequent ICU admission (p<0.001); adults with a high NEWS2 score (≥7) had an OR of 14.3 (95% CI:4.5–45.32) for ICU admission (p<0.001). A patient’s respiratory rate at presentation had strong prognostic utility: if an adult had an admission respiratory rate <22 breaths/minute, the negative predictive value for subsequent ICU admission was 95% (95% CI 88–99).
Conclusions: In the well-resourced Australian health system outcomes are excellent, but the local burden of rickettsial disease appears to be increasing and the clinical phenotype of SFG infections may be more severe than previously believed. Simple, clinical assessment on admission has prognostic utility and may be used to guide management
Analisis Kekuatan Massa Batugamping Dengan Menggunakan Kaidah Hoek-Brown Failure Criterion-Roclab Di Daerah Gunung Sudo Kabupaten Gunung Kidul YOGYAKARTA
The research area is a limestone quarry region prospect, located in Gunung Sudo, Gunung Kidul Regency, Special Region of Yogyakarta Province. Safety factor of bench in limestone quarry is extremely determined by rock mass quality. The aim of this research is analyzing of rock mass strength of limestone in the quarry prospect using the Hoek-Brown failure criterion. The research used quantitative method. To obtain rock mass strength analysis of limestone needs some parameters. The main parameters are uniaxial compressive strength of intact rock, GSI, lithology, disturbance factor, unit weight and application for slope (height).To solve this analysis is assisted by Roclab software. The Roclab is a software program for determining rock mass strength parameters based on the generalized Hoek-Brown failure criterion. Final result of the research will be used for safely mine design of the limestone quarry
Osteoporosis, dental status and disability in an elderly population of Northeastern Italy.
Tooth loss in the elderly and its association with nutritional status, socio-economic and lifestyle factors
OBJECTIVE:
Tooth loss impacts on general health and is a risk factor for malnutrition, disability, loss of self-sufficiency, and deterioration in quality of life. The present study was carried out to evaluate the prevalence of edentulism and its association with social and lifestyle factors in a population of elderly Italians.
MATERIAL AND METHODS:
Dental, social, and disease conditions were evaluated in a large community-based cohort (3054) of elderly subjects (> or =65 years) of both sexes in northern Italy. Logistic regression analyses with stepwise forward selection were performed to estimate the independent contribution of nutritional, socio-economic, and lifestyle variables to dental status. Adjusted ORs and 95% CI were estimated for variables significantly associated with edentulism.
RESULTS:
The prevalence of edentulism was about 44.0%. It was more pronounced in females and it was twice as prevalent in the 90+ years age group. Among edentulous subjects, 17.5% wore no prostheses. Difficulties in chewing and in swallowing were reported by 47.6% and 13.7% of the subjects, respectively. Multivariate analysis indicates that edentulism was associated with age in both sexes. For women, independently associated risk factors were: years since menopause >23 (OR = 1.81; 95% CI: 1.37-2.40), number of children >3 (OR = 1.95; 95% CI: 1.36-2.80), and living alone (OR = 1.47; 95% CI: 1.15-1.88). For men, these were serum albumin <40 g/l (OR = 1.79; 95% CI: 1.22-2.63), current smoking (OR = 4.01; 95% CI: 2.59-6.20), and former smoking (OR = 3.42; 95% CI: 2.42-4.82).
CONCLUSIONS:
The prevalence of edentulism among the elderly Italian population studied was at the high end among Western countries, and higher in women than in men. In women, tooth loss correlated with aging, female events (pregnancies, menopausal status), and living alone. In men, aging and smoking are important determinants of edentulism, which is associated with the risk condition of hypoalbuminemia. Difficulty in chewing was associated with dentition type. In our study, the high prevalence of edentulous subjects without prostheses suggests a need for educational and social measures to improve patients' attitudes to dental care and to encourage the use of prostheses among the elderly
Dental status, low bone mass, and other osteoporosis-related conditions as predictors of adverse outcomes in an elderly population
Dental status, low bone mass, and other osteoporosis-related conditions as predictors of adverse outocmes in an elderly population
Carbapenem resistance in Klebsiella pneumoniae due to the new delhi metallo-alpha-lactamase
Disease risk factors and their relationship with mortality.
<p>Disease risk factors and their relationship with mortality.</p