Factors Related to In-hospital Deaths in Patients With Tuberculosis

Sacks, Leonard; Pendle, Stella

doi:10.1001/archinte.158.17.1916

Cited by 59 publications

(64 citation statements)

References 20 publications

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“…A study from New York City looking at newly diagnosed TB cases found that over the following 42 months, most HIV-infected patients whose anti-TB treatment was delayed died (13). A study conducted in Johannesburg, South Africa, an area with a high prevalence of HIV infection, also suggested that late diagnosis was associ- Abandon 1 19 0 2 1 23 Diagnostic error 0 8 0 0 0 8 Sequelae 1 4 0 1 0 6 New 2 29 2 3 6 42 Resistant 2 3 0 0 0 5 Under treatment 0 2 4 0 0 6 Total 6 65 6 6 7 90 ated with in-hospital death of patients with active TB (14). The purpose of our study in Bolivia was not to investigate delays in diagnosis, either due to the patient or the health system.…”

Section: Discussionmentioning

confidence: 98%

Patients with tuberculosis in Bolivia: why do they die?

Ollé-Goig¹

2000

Rev Panam Salud Publica

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Section: Discussionmentioning

confidence: 98%

Patients with tuberculosis in Bolivia: why do they die?

Ollé-Goig¹

2000

Rev Panam Salud Publica

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“…As causas presumíveis sugeridas no presente trabalho concordam com outros estudos 28,29,30,31 que classificaram como óbito por TB aqueles com causa básica descritas como hemoptise; TB pulmonar progressiva sem insuficiência respiratória; TB meníngea; insuficiência respiratória sem outro motivo para tal; morte devido à resistência às medicações; efeitos adversos à medicação antiTB; uma combinação de infecção generalizada (sepse) com anemia, caquexia e morte súbita; embolia pulmonar; pneumonia; cor pulmonar.…”

Section: Discussionunclassified

Do que morrem os pacientes com tuberculose: causas múltiplas de morte de uma coorte de casos notificados e uma proposta de investigação de causas presumíveis

et al. 2015

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O objetivo deste trabalho foi analisar as causas múltiplas de morte de uma coorte de pacientes notificados com tuberculose (TB) e apresentar uma proposta de investigação de causas presumíveis. Realizou-se linkage probabilístico entre o Sistema de Informação de Agravos de Notificação (SINAN) 2006 e o Sistema de Informação sobre Mortalidade (SIM), 2006-2008. Ocorreram 825 mortes, das quais 23% por TB, 16% com TB e 61% sem menção da TB. Duzentos e quinze (42,7%) óbitos ocorreram antes do término do esquema básico de tratamento e não tinham menção da TB, cujo perfil foi distinto do padrão quando a TB era uma das causas associadas. A elevada frequência de doenças do aparelho respiratório, AIDS e causas mal definidas sugerem falha na qualidade da informação. Elaborou-se proposta de correção das causas associadas no SIM e de investigação de óbito com base na relação de causas presumíveis. De acordo com a proposta, 26 óbitos poderiam ter a causa básica modificada. Este estudo destaca a gravidade do quadro da TB e a importância do linkage para a vigilância da TB e melhoria das informações do SIM e do SINAN.

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“…In prior studies, researchers have observed decreased mortality from some acute diseases, such as pneumonia 40 and tuberculosis 41 among the overweight and obese. The relation of overweight and obesity to mortality from acute disease is a subject of ongoing investigation and debate.…”

Section: Past Weight and Mortality Sc Moore Et Almentioning

confidence: 99%

Past body mass index and risk of mortality among women

et al. 2008

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Background: Epidemiologic studies of body mass index (BMI) in relation to mortality commonly exclude persons with health conditions and/or a history of smoking to prevent bias resulting from illness-related weight loss ('reverse causation'). Analysis of BMI from an earlier time period may minimize reverse causation without requiring exclusion of participants based on disease or smoking history. Methods: We prospectively examined BMI based on technician measurements of weight and height from 10 years prior to start of follow-up in relation to subsequent mortality in a cohort of 50 186 women who were 40-93 years old at baseline in [1987][1988][1989]. Deaths were ascertained through the US National Death Index. Proportional hazards regression was used to estimate hazard ratios (HRs) of mortality, adjusted for age, education, race/ethnicity, income, menopausal hormone use, smoking and physical activity. Results: During 10 years of follow-up through 1997, 5201 women died. Overall, we observed a J-shaped association between BMI and mortality, with increased risk for women who were underweight, overweight or obese. The HRs and 95% confidence intervals of mortality for BMI categories of o18. 5, 18.5-20.9, 21.0-23.4 (reference), 23.5-24.9, 25.0-27.4, 27.5-29.9, 30.0-34.9 and 35.0 þ kg m À2 were 1.43 (1.19, 1.72), 1.07 (0.98, 1.17), 1.00 (reference), 1.10 (1.00, 1.20), 1.20 (1.11, 1.31), 1.23 (1.11, 1.37), 1.60 (1.44, 1.77) and 1.92 (1.64, 2.24). There was little evidence that pre-existing conditions (heart disease, diabetes and/or cancer) or smoking history modified the past BMI and mortality relation (P ¼ 0.54 and 0.76). Conclusions:In this large cohort of women, BMI based on technician measurements of weight and height from 10 years prior to baseline showed increased risk for mortality across the range of overweight and obesity, regardless of disease and smoking history. Observed associations between overweight, obesity and mortality in healthy individuals may also apply to persons with a history of disease or smoking.

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Factors Related to In-hospital Deaths in Patients With Tuberculosis

Cited by 59 publications

References 20 publications

Patients with tuberculosis in Bolivia: why do they die?

Patients with tuberculosis in Bolivia: why do they die?

Do que morrem os pacientes com tuberculose: causas múltiplas de morte de uma coorte de casos notificados e uma proposta de investigação de causas presumíveis

Past body mass index and risk of mortality among women

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