scholarly journals Maternal Mortality Risk Factors in Dr. Hasan Sadikin General Hospital, Bandung in 2009−2013

2017 ◽  
Vol 5 (2) ◽  
pp. 52-56
Author(s):  
Shely Karma Astuti ◽  
◽  
Muhammad Alamsyah Aziz ◽  
Insi Farisa Desy Arya ◽  
◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Mortality ◽  
General Hospital ◽  
Mortality Risk

Medical Comorbidity Related Risk Factors For Hospital-Based Mortality In Psychiatric Disorders of Icd-10 Classes F1–F4: A Comparative Overview of Five Studies In General Hospital Admissions

2016 ◽  
Vol 33 (S1) ◽  
pp. S485-S485
Author(s):  
D. Schoepf ◽  
R. Heun
Keyword(s):  
Risk Factors ◽  
Psychiatric Disorders ◽  
General Hospital ◽  
Mortality Risk ◽  
Hospital Admissions ◽  
Medical Comorbidity ◽  
Medical Comorbidities ◽  
Related Risk ◽  
Icd 10 ◽  
Independent Risk Factors

IntroductionUp to 60% of the non-suicide related premature mortality of individuals with major psychiatric disorders is said to be mainly due to medical diseases.Objectives and aimsBased on five representative studies in general hospital admissions over 12.5-year observation, we will represent a comparative overview of medical comorbidity related risk factors for general hospital-based mortality in prevalent psychiatric disorders of ICD-10 major classes F1–F4.MethodsIn the original studies, medical comorbidities that increased the risk for hospital-based mortality were identified using multivariate forward logistic regression analysis. In secondary analysis, independent risk factors for general hospital-based mortality were compared between studies using the OR and the 95% CI.ResultsA total of fifteen medical comorbidities represented independent risk factors for general hospital-based mortality in more than one psychiatric disorder of ICD-10 major classes F1–F4. Infectious lung diseases and chronic obstructive pulmonary disease were mortality risk factors in all diagnostic classes. Type 2 diabetes mellitus represented a risk factor for general hospital-based mortality in individuals with schizophrenia (SCH), bipolar disorder (BD), and major depressive disorder (MDD). Atrial fibrillation was a mortality risk factor in individuals with MDD, anxiety disorder (ANX), and alcohol dependence (AD). In addition, nineteen medical comorbidities represented independent mortality risk factors in only one of the diagnostic classes, i.e. two in individuals with SCH, three in individuals with MDD, three in ANX, and eleven in AD.ConclusionsIn general hospitals, the pattern of medical comorbidities that explain the outcome of in-hospital deaths differs considerably between psychiatric disorders of ICD-10 major classes F1–F4.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Maternal Mortality Risk Factors in Regional Hospital of Burkina Faso

2014 ◽  
Vol 04 (02) ◽  
pp. 57-62
Author(s):  
Léon G. Blaise Savadogo ◽  
Aminata Zombra ◽  
Cécile Tamini ◽  
Maurice Kinda ◽  
Philipe Donnen
Keyword(s):  
Risk Factors ◽  
Maternal Mortality ◽  
Burkina Faso ◽  
Mortality Risk ◽  
Regional Hospital

scholarly journals Burden of Respiratory Syncytial Virus Disease and Mortality Risk Factors in Argentina

2019 ◽  
Vol 38 (6) ◽  
pp. 589-594 ◽  
Author(s):  
Angela Gentile ◽  
María Florencia Lucion ◽  
María del Valle Juarez ◽  
María Soledad Areso ◽  
Julia Bakir ◽  
...  
Keyword(s):  
Risk Factors ◽  
Respiratory Syncytial Virus ◽  
Mortality Risk ◽  
Virus Disease ◽  
Respiratory Syncytial Virus Disease ◽  
Syncytial Virus

Mortality Risk Factors in Chronic Renal Failure Patients after Coronary Artery Bypass Grafting

Renal Failure ◽  
2007 ◽  
Vol 29 (7) ◽  
pp. 823-828 ◽  
Author(s):  
Beril Akman ◽  
Ayse Bilgic ◽  
Gulsah Sasak ◽  
Siren Sezer ◽  
Atilla Sezgin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Failure ◽  
Coronary Artery ◽  
Chronic Renal Failure ◽  
Coronary Artery Bypass Grafting ◽  
Coronary Artery Bypass ◽  
Mortality Risk ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Artery Bypass Grafting

scholarly journals 699 Sleep Health Traits and COVID-19: Mortality Risk from the UK Biobank

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A273-A273
Author(s):  
Xi Zheng ◽  
Ma Cherrysse Ulsa ◽  
Peng Li ◽  
Lei Gao ◽  
Kun Hu
Keyword(s):  
Risk Factors ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Sex Education ◽  
Mortality Risk ◽  
Self Report ◽  
Severe Illness ◽  
Uk Biobank ◽  
Sleep Health ◽  
The Uk

Abstract Introduction While there is emerging evidence for acute sleep disruption in the aftermath of coronavirus disease 2019 (COVID-19), it is unknown whether sleep traits contribute to mortality risk. In this study, we tested whether earlier-life sleep duration, chronotype, insomnia, napping or sleep apnea were associated with increased 30-day COVID-19 mortality. Methods We included 34,711 participants from the UK Biobank, who presented for COVID-19 testing between March and October 2020 (mean age at diagnosis: 69.4±8.3; range 50.2–84.6). Self-reported sleep duration (less than 6h/6-9h/more than 9h), chronotype (“morning”/”intermediate”/”evening”), daytime dozing (often/rarely), insomnia (often/rarely), napping (often/rarely) and presence of sleep apnea (ICD-10 or self-report) were obtained between 2006 and 2010. Multivariate logistic regression models were used to adjust for age, sex, education, socioeconomic status, and relevant risk factors (BMI, hypertension, diabetes, respiratory diseases, smoking, and alcohol). Results The mean time between sleep measures and COVID-19 testing was 11.6±0.9 years. Overall, 5,066 (14.6%) were positive. In those who were positive, 355 (7.0%) died within 30 days (median = 8) after diagnosis. Long sleepers (>9h vs. 6-9h) [20/103 (19.4%) vs. 300/4,573 (6.6%); OR 2.09, 95% 1.19–3.64, p=0.009), often daytime dozers (OR 1.68, 95% 1.04–2.72, p=0.03), and nappers (OR 1.52, 95% 1.04–2.23, p=0.03) were at greater odds of mortality. Prior diagnosis of sleep apnea also saw a two-fold increased odds (OR 2.07, 95% CI: 1.25–3.44 p=0.005). No associations were seen for short sleepers, chronotype or insomnia with COVID-19 mortality. Conclusion Data across all current waves of infection show that prior sleep traits/disturbances, in particular long sleep duration, daytime dozing, napping and sleep apnea, are associated with increased 30-day mortality after COVID-19, independent of health-related risk factors. While sleep health traits may reflect unmeasured poor health, further work is warranted to examine the exact underlying mechanisms, and to test whether sleep health optimization offers resilience to severe illness from COVID-19. Support (if any) NIH [T32GM007592 and R03AG067985 to L.G. RF1AG059867, RF1AG064312, to K.H.], the BrightFocus Foundation A2020886S to P.L. and the Foundation of Anesthesia Education and Research MRTG-02-15-2020 to L.G.

scholarly journals Maternal mortality in six low and lower-middle income countries from 2010 to 2018: risk factors and trends

2020 ◽  
Vol 17 (S3) ◽  
Author(s):  
Melissa Bauserman ◽  
Vanessa R. Thorsten ◽  
Tracy L. Nolen ◽  
Jackie Patterson ◽  
Adrien Lokangaka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Mortality ◽  
Maternal Deaths ◽  
Middle Income ◽  
Maternal Risk ◽  
Live Births ◽  
Middle Income Countries ◽  
Risk Of Death ◽  
Increased Risk ◽  
Over Time

Abstract Background Maternal mortality is a public health problem that disproportionately affects low and lower-middle income countries (LMICs). Appropriate data sources are lacking to effectively track maternal mortality and monitor changes in this health indicator over time. Methods We analyzed data from women enrolled in the NICHD Global Network for Women’s and Children’s Health Research Maternal Newborn Health Registry (MNHR) from 2010 through 2018. Women delivering within research sites in the Democratic Republic of Congo, Guatemala, India (Nagpur and Belagavi), Kenya, Pakistan, and Zambia are included. We evaluated maternal and delivery characteristics using log-binomial models and multivariable models to obtain relative risk estimates for mortality. We used running averages to track maternal mortality ratio (MMR, maternal deaths per 100,000 live births) over time. Results We evaluated 571,321 pregnancies and 842 maternal deaths. We observed an MMR of 157 / 100,000 live births (95% CI 147, 167) across all sites, with a range of MMRs from 97 (76, 118) in the Guatemala site to 327 (293, 361) in the Pakistan site. When adjusted for maternal risk factors, risks of maternal mortality were higher with maternal age > 35 (RR 1.43 (1.06, 1.92)), no maternal education (RR 3.40 (2.08, 5.55)), lower education (RR 2.46 (1.54, 3.94)), nulliparity (RR 1.24 (1.01, 1.52)) and parity > 2 (RR 1.48 (1.15, 1.89)). Increased risk of maternal mortality was also associated with occurrence of obstructed labor (RR 1.58 (1.14, 2.19)), severe antepartum hemorrhage (RR 2.59 (1.83, 3.66)) and hypertensive disorders (RR 6.87 (5.05, 9.34)). Before and after adjusting for other characteristics, physician attendance at delivery, delivery in hospital and Caesarean delivery were associated with increased risk. We observed variable changes over time in the MMR within sites. Conclusions The MNHR is a useful tool for tracking MMRs in these LMICs. We identified maternal and delivery characteristics associated with increased risk of death, some might be confounded by indication. Despite declines in MMR in some sites, all sites had an MMR higher than the Sustainable Development Goals target of below 70 per 100,000 live births by 2030. Trial registration The MNHR is registered at NCT01073475.

Mortality and associated risk factors in diabetics

1985 ◽  
Vol 110 (4_Suppl) ◽  
pp. S21-S26 ◽  
Author(s):  
R. J. Jarrett ◽  
M. J. Shipley
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Mortality Risk ◽  
Mortality Rates ◽  
Potential Risk Factors ◽  
Diabetic Population ◽  
Associated Risk Factors ◽  
The Relationship

Summary. In 168 male diabetics aged 40-64 years participating in the Whitehall Study, ten-year age adjusted mortality rates were significantly higher than in non-diabetics for all causes, coronary heart disease, all cardiovascular disease and, in addition, causes other than cardiovascular. Mortality rates were not significantly related to known duration of the diabetes. The predictive effects of several major mortality risk factors were similar in diabetics and non-diabetics. Excess mortality rates in the diabetics could not be attributed to differences in levels of blood pressure or any other of the major risk factors measured. Key words: diabetics; mortality rates; risk factors; coronary heart disease. There are many studies documenting higher mortality rates - particularly from cardiovascular disease -in diabetics compared with age and sex matched diabetics from the same population (see Jarrett et al. (1982) for review). However, there is sparse information relating potential risk factors to subsequent mortality within a diabetic population, information which might help to explain the increased mortality risk and also suggest preventive therapeutic approaches. In the Whitehall Study, a number of established diabetics participated in the screening programme and data on mortality rates up to ten years after screening are available. We present here a comparison of diabetics and non-diabetics in terms of relative mortality rates and the influence of conventional risk factors as well as an analysis of the relationship between duration of diabetes and mortality risk.

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