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1.
BMC Public Health ; 14: 34, 2014 Jan 14.
Artigo em Inglês | MEDLINE | ID: mdl-24423060

RESUMO

BACKGROUND: The Great East Japan Earthquake of magnitude 9.0 that struck on 11 March 2011 resulted in more than 18000 deaths or cases of missing persons. The large-scale tsunami that followed the earthquake devastated many coastal areas of the Tohoku region, including Miyagi Prefecture, and many residents of the tsunami-affected areas were compelled to reside in evacuation centres (ECs). In Japan, seasonal influenza epidemics usually occur between December and March. At the time of the Great East Japan Earthquake on 11 March 2011, influenza A (H3N2) was still circulating and there was a heightened concern regarding severe outbreaks due to influenza A (H3N2). METHODS: After local hospital staff and public health nurses detected influenza cases among the evacuees, an outbreak investigation was conducted in five ECs that had reported at least one influenza case from 23 March to 11 April 2011. Cases were confirmed by point-of-care tests and those residues were obtained and subjected to reverse transcription PCR and/or real time RT-PCR for sub-typing of influenza. RESULTS: There were 105 confirmed cases detected during the study period with a mean attack rate of 5.3% (range, 0.8%-11.1%). An epidemiological tree for two ECs demonstrated same-room and familial links that accounted for 88.5% of cases. The majority of cases occurred in those aged 15-64 years, who were likely to have engaged in search and rescue activities. No deaths were reported in this outbreak. Familial link accounted for on average 40.5% of influenza cases in two ECs and rooms where two or more cases were reported accounted for on average 85% in those ECs. A combination of preventative measures, including case cohorting, personal hygiene, wearing masks, and early detection and treatment, were implemented during the outbreak period. CONCLUSIONS: Influenza can cause outbreaks in a disaster setting when the disaster occurs during an epidemic influenza season. The transmission route is more likely to be associated with sharing room and space and with familial links. The importance of influenza surveillance and early treatments should be emphasized in EC settings for implementing preventive control measures.


Assuntos
Desastres , Surtos de Doenças , Terremotos , Vírus da Influenza A Subtipo H3N2/isolamento & purificação , Influenza Humana/epidemiologia , Adolescente , Adulto , Feminino , Humanos , Incidência , Japão/epidemiologia , Masculino , Pessoa de Meia-Idade , Trabalho de Resgate , Tsunamis
2.
Clin Exp Nephrol ; 14(4): 333-9, 2010 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-20556461

RESUMO

PURPOSE: Chronic kidney disease (CKD) can result from a wide variety of diseases, but whether clinical outcomes differ in the same CKD stages according to the underlying renal disease remains unclear. Clarification of this issue is important for stratifying risk of cardiovascular disease (CVD) and death in patients before dialysis. PATIENTS AND METHODS: The study comprised 2,692 patients recruited from 11 outpatient nephrology clinics, classified by underlying disease of primary renal disease (PRD) (n = 1,306), hypertensive nephropathy (HN) (n = 458), diabetic nephropathy (DN) (n = 283), or other nephropathies (ON) (n = 645). Risks of events such as ischemic heart disease, congestive heart failure, stroke, and all-cause mortality within 12 months were examined by logistic regression analysis in each group. RESULT: During the 12-months' observation from recruitment, 200 cases were lost to follow-up, and 113 cases were introduced to chronic dialysis therapy. A total of 69 CVD events occurred (stroke in 27 cases), and 24 patients died. In total, increased odds ratios (OR) for the events by CKD stage (cf. CKD1 + 2: unadjusted) were CKD3, 1.29 [95% confidence interval (CI), 0.70-2.17]; CKD4, 2.73 (1.55-4.83); and CKD5, 4.66 (2.63-8.23). Regarding events in respective groups, no significant differences were seen by CKD stage except for the group with HN, but significant differences were seen by underlying diseases (cf. PRD: adjusted for confounding factors, including estimated glomerular filtration rate): HN, 2.57 (1.09-6.04); DN, 12.21 (3.90-38.20); and ON, 4.14 (1.93-8.89). CONCLUSION: Risk of CVD and mortality due to CKD needs to be stratified according to the underlying renal diseases.


Assuntos
Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/mortalidade , Nefropatias Diabéticas/complicações , Nefropatias/complicações , Nefropatias/mortalidade , Adulto , Idoso , Idoso de 80 Anos ou mais , Instituições de Assistência Ambulatorial , Doença Crônica , Nefropatias Diabéticas/mortalidade , Progressão da Doença , Feminino , Humanos , Hipertensão/complicações , Hipertensão/mortalidade , Japão/epidemiologia , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Razão de Chances , Estudos Prospectivos , Medição de Risco , Fatores de Risco , Índice de Gravidade de Doença , Fatores de Tempo
3.
BMC Med Educ ; 6: 33, 2006 Jun 13.
Artigo em Inglês | MEDLINE | ID: mdl-16768807

RESUMO

BACKGROUND: The extent of clinical exposure needed to ensure quality care has not been well determined during internal medicine training. We aimed to determine the association between clinical exposure (number of cases seen), self- reports of clinical competence, and type of institution (predictor variables) and quality of care (outcome variable) as measured by clinical vignettes. METHODS: Cross-sectional study using univariate and multivariate linear analyses in 11 teaching hospitals in Japan. Participants were physicians-in-training in internal medicine departments. Main outcome measure was standardized t-scores (quality of care) derived from responses to five clinical vignettes. RESULTS: Of the 375 eligible participants, 263 (70.1%) completed the vignettes. Most were in their first (57.8%) and second year (28.5%) of training; on average, the participants were 1.8 years (range = 1-8) after graduation. Two thirds of the participants (68.8%) worked in university-affiliated teaching hospitals. The median number of cases seen was 210 (range = 10-11400). Greater exposure to cases (p = 0.0005), higher self-reports of clinical competence (p = 0.0095), and type of institution (p < 0.0001) were significantly associated with higher quality of care, using a multivariate linear model and adjusting for the remaining factors. Quality of care rapidly increased for the first 100 to 200 cases seen and tapered thereafter. CONCLUSION: The amount of clinical exposure and levels of self-reports of clinical competence, not years after graduation, were positively associated with quality of care, adjusting for the remaining factors. The learning curve tapered after about 200 cases.


Assuntos
Competência Clínica/estatística & dados numéricos , Medicina Interna/educação , Internato e Residência/normas , Qualidade da Assistência à Saúde/estatística & dados numéricos , Estudos Transversais , Hospitais de Ensino/normas , Humanos , Prática Institucional/normas , Medicina Interna/normas , Japão , Programas de Autoavaliação , Fatores de Tempo , Recursos Humanos , Carga de Trabalho/estatística & dados numéricos
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