5 research outputs found

    Trends and Outcomes of Transcatheter Tricuspid Valve Repair and Surgical Tricuspid Valve Repair in Patients With Tricuspid Valve Regurgitation; A Population Based Study

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    Data on clinical outcomes of transcatheter tricuspid valve repair (TTVR) compared with surgical tricuspid valve repair (STVR) in patients with tricuspid valve regurgitation (TVR) remains limited. Data from the national inpatient sample (2016-2020) and propensity-score matched (PSM) analysis was utilized to determine adjusted odds ratio (aOR) of inpatient mortality and major clinical outcomes of TTVR compated with STVR in patients with TVR. A total of 37,115 patients with TVR were included: 1830 (4.9%) and 35,285 (95.1%) underwent TTVR and STVR, respectively. After PSM, there was no statistically significant difference in baseline characteristics and medical comorbidities between both groups. Compared with STVR, TTVR was associated with lower inpatient mortality (aOR 0.43 [0.31-0.59], P \u3c 0.01), cardiovascular complications (aOR 0.47 [0.3-0.45], P \u3c 0.01), hemodynamic complications (aOR 0.47 [0.4-0.55], P \u3c 0.01), infectious complications (aOR 0.44 [0.34-0.57], P \u3c 0.01), renal complications (aOR 0.56 [0.45-0.64], P \u3c 0.01), and need for blood transfusion. There was no statistically significant difference in odds of major bleeding events (aOR 0.92 [0.64-1.45], P 0.84). Also, TTVR was associated with less mean length of stay (7 days vs 15 days, P \u3c 0.01) and less cost of hospitalization (59,921vs59,921 vs 89,618) compared with STVR. There was an increase in the utility of TTVR associated with a decrease in the utility of STVR from 2016 to 2020 (P \u3c 0.01). Our study showed that compared with STVR, TTVR was associated with lower inpatient mortality and clinical events. Nevertheless, further studies are needed to investigate the difference in outcomes between both procedures

    Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019

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    Background The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across a groups by sex, for 204 countries and territories.Methods In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used dinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4 B97.6, 109-115.8, J16 J16.9, J20-121.9, J91.0, P23.0 P23.4, and U04 U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23109 site-years of vital r *stration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian metaregression tool, to analyse age sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and daims and inpatient data. Additio y, we estimated age sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors.Findings Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1.30 million (95% UI 1.18-1.42) male deaths and 1.20 million (1.07-1.33) female deaths. Age-standardised incidence and mortality rates were 1.17 times (95% UI 1.16-1.18) and 1.31 times (95% UI 1.23-1.41) greater in males than in fe es in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126.0% [95% UI 121.4-131.1]) and deaths (100.0% [83.4-115.9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest dedine was observed for LRI deaths in males younger than 5 years (-70.7% [-77.2 to 61.8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53.0% [95% UI 37.7-61.8] in males and 56.4% [40.7-65.1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26.0% [95% UI 16.6-35.5] for males and PAF 25.8% [16.3-35.4] for females). PAFs of male LRI deaths attributed to smoking were 20.4% (95% UI 15.4-25.2) in those aged 15-49 years, 305% (24.1-36. 9) in those aged 50-69 years, and 21.9% (16. 8-27. 3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21.1% (95% UI 14.5-27.9) in those aged 15-49 years and 18 " 2% (12.5-24.5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11-7% (95% UI 8.2-15.8) of LRI deaths.Interpretation The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children you - than 5 years was dearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, induding promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities.Copyright 2022 The Author(s). Published by Elsevier Ltd
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