scholarly journals Tuberculosis Death Epidemiology and Its Associated Risk Factors in Sabah, Malaysia

2021 ◽  
Vol 18 (18) ◽  
pp. 9740
Author(s):  
Richard Avoi ◽  
Yau Chun Liaw
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
National Level ◽  
Case Fatality ◽  
Infectious Agent ◽  
Health Department ◽  
Notification Rate ◽  
Tb Treatment ◽  
Associated Risk Factors ◽  
Nested Case Control

Tuberculosis (TB) is a leading killer from a single infectious agent globally. In 2019, Malaysia’s TB incidence rate was 92 per 100,000 population, and the TB mortality rate was estimated at 4 cases per 100,000 population per year. However, the state of Sabah had a higher burden of TB with a notification rate of 128 per 100,000 population and a TB case fatality rate of 8% compared to the national figure. This study aims to provide a comprehensive report on TB deaths epidemiology and its associated factors at a sub-national level. This nested case-control study used Sabah State Health Department TB surveillance data from the Malaysia national case-based TB registry (MyTB) between 2014 and 2018. Cases were defined as all-cause TB deaths that occurred before anti-TB treatment completion from the time of TB diagnosis. Controls were randomly selected from TB patients who completed anti-TB treatment. The TB mortality rate had increased significantly from 9.0/100,000 population in 2014 to 11.4/100,000 population in 2018. The majority of TB deaths occurred in the first two months of treatment. TB-related deaths were primarily due to advanced disease or disseminated TB, whereas non-TB-related deaths were primarily due to existing comorbidities. Many important independent risk factors for TB deaths were identified which are useful to address the increasing TB mortality rate.

Abstract P625: Rate of Hemorrhagic Transformation After Ischemic Stroke and Associated Risk Factors: The Greater Cincinnati/Northern Kentucky Stroke Study (GCNKSS)

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Robert J Stanton ◽  
Eleni Antzoulatos ◽  
Elisheva R Coleman ◽  
Felipe De Los Rios La Rosa ◽  
Stacie L Demel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Case Fatality ◽  
Population Based ◽  
Hemorrhagic Transformation ◽  
Incidence Rates ◽  
Icd 10 ◽  
Potential Risk Factors ◽  
Adjusted Rate ◽  
Associated Risk Factors

Background: Hemorrhagic transformation (HT) of ischemic stroke can have devastating consequences, leading to longer hospitalizations, increased morbidity and mortality. We sought to identify the rate of HT in stroke patients not treated with tPA within a large, biracial population. Methods: The GCNKSS is a population-based stroke epidemiology study from five counties in the Greater Cincinnati region. During 2015, we captured all hospitalized strokes by screening ICD-9 codes 430-436 and ICD-10 codes I60-I68, and G45-46. Study nurses abstracted all potential cases and physicians adjudicated cases, including classifying the degree of HT. Patients treated with thrombolytics were excluded. Incidence rates per 100,000 and associated 95% confidence intervals (CI) were estimated for HT cases, age and sex adjusted to the 2000 US population. Multiple logistic regression was used to examine risk factors associated with HT. Results: In 2015, there were 2301 ischemic strokes included in the analysis. Of these 104 (4.5%) had HT; 23 (22.1%) symptomatic, 55 (52.9%) asymptomatic and 26 (25%) unknown. Documented reasons for not receiving tPA in these patients were: time (71, 68.3%), anticoagulant use (1, 1.0%), other (18,17.3%) and unknown (14, 13.5%), which were not significantly different compared to those without HT. Only 29/104 (18.3%) had HT classified as PH-1 or PH-2. The age, sex and race-adjusted rate of HT was 9.8 (7.9, 11.6) per 100,000. The table shows rates of potential risk factors and the adjusted odds of developing HT. 90 day all-cause case fatality for patients with HT was significantly higher, 27.9% vs. 15.7%, p<0.0001. Conclusion: We found that 4.5% of non-tPA treated IS patients had HT. These patients had more severe strokes, were more likely to have abnormal coagulation tests or anticoagulant use, and were more likely to die within 90 days. We also report the first population-based incidence rate of HT in non-tPA treated of 9.8/100,000, a rate similar to the incidence of SAH.

scholarly journals Risk factors for incidence and case-fatality rates of healthcare-associated infections: a 20-year follow-up of a hospital-based cohort

2015 ◽  
Vol 144 (1) ◽  
pp. 198-206 ◽  
Author(s):  
R.-F. WANG ◽  
S.-H. SHEN ◽  
A. M.-F. YEN ◽  
T.-L. WANG ◽  
T.-N. JANG ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Incidence Rate ◽  
Case Fatality Rate ◽  
Tertiary Care ◽  
Case Fatality ◽  
Healthcare Associated Infections ◽  
Fatality Rate ◽  
Infection Site ◽  
Healthcare Associated

SUMMARYInformation is lacking on the integrated evaluation of mortality rates in healthcare-associated infections (HAIs). Our aim was to differentiate the risk factors responsible for the incidence from those for the case-fatality rates in association with HAIs. We therefore examined the time trends of both incidence and case-fatality rates over a 20-year period at a tertiary-care teaching medical centre in Taiwan and the mortality rate was expressed as the product of the incidence rate and the case-fatality rate. During the study period the overall mortality rate fell from 0·46 to 0·32 deaths/1000 patient-days and the incidence rate fell from 3·41 to 2·31/1000 patient-days, but the case-fatality rate increased marginally from 13·5% to 14·0%. The independent risk factors associated with incidence of HAIs were age, gender, infection site, admission type, and department of hospitalization. Significant prognostic factors for HAI case-fatality were age, infection site, intensive care, and clinical department. We conclude that the decreasing trend for the HAI mortality rate was accompanied by a significant decline in the incidence rate and this was offset by a slightly increasing trend in the case-fatality rate. This deconstruction approach could provide further insights into the underlying complex causes of mortality for HAIs.

scholarly journals Frequency, Associated Risk Factors, and Characteristics of COVID-19 Among Healthcare Personnel in a Spanish Health Department

2020 ◽  
Vol 59 (6) ◽  
pp. e221-e229
Author(s):  
Natividad Algado-Sellés ◽  
Paula Gras-Valentí ◽  
Pablo Chico-Sánchez ◽  
Juan G. Mora-Muriel ◽  
Victor M. Soler-Molina ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Department ◽  
Healthcare Personnel ◽  
Associated Risk Factors ◽  
Spanish Health

scholarly journals Acinetobacter bacteraemia in Thailand: evidence for infections outside the hospital setting

2013 ◽  
Vol 142 (6) ◽  
pp. 1317-1327 ◽  
Author(s):  
K. A. PORTER ◽  
J. RHODES ◽  
S. DEJSIRILERT ◽  
S. HENCHAICHON ◽  
D. SILUDJAI ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Burden ◽  
Hospital Setting ◽  
Case Fatality ◽  
Nosocomial Pathogen ◽  
Case Definitions ◽  
Complex Species ◽  
Microbiological Characteristics ◽  
Associated Risk Factors ◽  
Healthcare Associated

SUMMARYAcinetobacter is a well-recognized nosocomial pathogen. Previous reports of community-associated Acinetobacter infections have lacked clear case definitions and assessment of healthcare-associated (HCA) risk factors. We identified Acinetobacter bacteraemia cases from blood cultures obtained <3 days after hospitalization in rural Thailand and performed medical record reviews to assess HCA risk factors in the previous year and compare clinical and microbiological characteristics between cases with and without HCA risk factors. Of 72 Acinetobacter cases, 32 (44%) had no HCA risk factors. Compared to HCA infections, non-HCA infections were more often caused by Acinetobacter species other than calcoaceticus–baumannii complex species and by antibiotic-susceptible organisms. Despite similar symptoms, the case-fatality proportion was lower in non-HCA than HCA cases (9% vs. 45%, P < 0·01). Clinicians should be aware of Acinetobacter as a potential cause of community-associated infections in Thailand; prospective studies are needed to improve understanding of associated risk factors and disease burden.

Respiratory infection in congenital cardiac disease. Hospitalizations in young children in Spain during 2004 and 2005: the CIVIC Epidemiologic Study

2007 ◽  
Vol 17 (4) ◽  
pp. 360-371 ◽  
Author(s):  
Constancio Medrano ◽  
Luis Garcia-Guereta ◽  
Josefina Grueso ◽  
Beatriz Insa ◽  
Fernando Ballesteros ◽  
...  
Keyword(s):  
Risk Factors ◽  
Respiratory Syncytial Virus ◽  
Cardiopulmonary Bypass ◽  
Respiratory Infection ◽  
Cardiac Disease ◽  
Clinical Course ◽  
Infectious Agent ◽  
Congenital Cardiac Disease ◽  
Syncytial Virus ◽  
Associated Risk Factors

AbstractObjectivesTo evaluate the rate of hospitalization for acute respiratory tract infection in children less than 24 months with haemodynamically significant congenital cardiac disease, and to describe associated risk factors, preventive measures, aetiology, and clinical course.Materials and methodsWe followed 760 subjects from October 2004 through April 2005 in an epidemiological, multicentric, observational, follow-up, prospective study involving 53 Spanish hospitals.ResultsOf our cohort, 79 patients (10.4%, 95% CI: 8.2%–12.6%) required a total of 105 admissions to hospital related to respiratory infections. The incidence rate was 21.4 new admissions per 1000 patients-months. Significant associated risk factors for hospitalization included, with odds ratios and 95% confidence intervals shown in parentheses: 22q11 deletion (8.2, 2.5–26.3), weight below the 10th centile (5.2, 1.6–17.4), previous respiratory disease (4.5, 2.3–8.6), incomplete immunoprophylaxis against respiratory syncytial virus (2.2, 1.2–3.9), trisomy 21 (2.1, 1.1–4.2), cardiopulmonary bypass (2.0, 1.1–3.4), and siblings aged less than 11 years old (1.7, 1.1–2.9). Bronchiolitis (51.4%), upper respiratory tract infections (25.7%), and pneumonia (20%) were the main diagnoses. An infectious agent was found in 37 cases (35.2%): respiratory syncytial virus in 25,Streptococcus pneumoniaein 5, and Haemophilus influenzae in 4. The odds ratio for hospitalization due to infection by the respiratory syncytial virus increases by 3.05 (95% CI: 2.14 to 4.35) in patients with incomplete prophylaxis. The median length of hospitalization was 7 days. In 18 patients (17.1%), the clinical course of respiratory infection was complicated and 2 died.ConclusionsHospital admissions for respiratory infection in young children with haemodynamically significant congenital cardiac disease are mainly associated with non-cardiac conditions, which may be genetic, malnutrition, or respiratory, and to cardiopulmonary bypass. Respiratory syncytial virus was the most commonly identified infectious agent. Incomplete immunoprophylaxis against the virus increased the risk of hospitalization.

scholarly journals Epidemiological profiles and associated risk factors of SARS-CoV-2 positive patients based on a high-throughput testing facility in India

Open Biology ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 200288
Author(s):  
Sumit Malhotra ◽  
Manju Rahi ◽  
Payal Das ◽  
Rini Chaturvedi ◽  
Jyoti Chhibber-Goel ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Throughput ◽  
National Level ◽  
International Travel ◽  
Disease Spread ◽  
Multivariable Logistic Regression Analysis ◽  
Risk Behaviours ◽  
Co Morbidity ◽  
Associated Risk Factors ◽  
Epidemiological Characteristics

We describe the epidemiological characteristics and associated risk factors of those presenting at a large testing centre for SARS-CoV-2 infection. This is a retrospective record review of individuals who underwent SARS-CoV-2 testing by reverse transcription–polymerase chain reaction (RT-PCR) at a high-throughput national-level government facility located in the north of India. Samples collected from 6 April to 31 December 2020 are included in this work and represent four highly populous regions. Additionally, there was a prospective follow-up of 1729 cases through telephone interviews from 25 May 2020 to 20 June 2020. Descriptive analysis has been performed for profiling clinic-epidemiological aspects of suspect cases. Multivariable logistic regression analysis was undertaken to determine risk factors that are associated with SARS-CoV-2 test positivity and symptom status. A total of 125 600 participants' details have been included in this report. The mean (s.d.) age of the participants was 33.1 (±15.3) years and 66% were male. Among these tested, 9515 (7.6%) were positive for COVID-19. A large proportion of positive cases were asymptomatic. In symptomatic positive cases, the commonest symptoms were cough and fever. Increasing age (groups 20–59 and ≥60 years compared to age group less than 5 years), male sex, history of international travel, symptoms for SARS-CoV-2, and participants from Delhi and Madhya Pradesh were positively associated with SARS-CoV-2 test positivity. Having co-morbidity, risk behaviours and intra-familial positivity were associated with a positive odds ratio for exhibiting SARS-CoV-2 symptoms. Intensified testing and isolation of cases, identification of both asymptomatic and symptomatic individuals and additional care of those with co-morbidities and risk behaviours will all be collectively important for disease containment in India. Reasons for differentials in testing between men and women remain an important area for in-depth study. The increased deployment of vaccines is likely to impact the trajectory of COVID-19 in the coming time, and therefore our data will serve as a comparative resource as India experiences the second wave of infection in light of newer variants that are likely to accelerate disease spread.

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