scholarly journals Impact of chronic respiratory diseases on re-intubation rate in critically ill patients: a cohort study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanfei Shen ◽  
Weizhe Ru ◽  
Xinmei Huang ◽  
Shangzhong Chen ◽  
Jing Yan ◽  
...  
Keyword(s):  
Propensity Score ◽  
Partial Pressure ◽  
Propensity Score Matching ◽  
Disease Severity ◽  
Respiratory Diseases ◽  
Mortality Rates ◽  
Carbon Dioxide Partial Pressure ◽  
Intubation Rate ◽  
Chronic Respiratory Diseases ◽  
Mild Disease

AbstractChronic respiratory diseases’ (CRDs) impact on re-intubation rate remains unclear. We investigated the association between these factors in mechanically ventilated patients. Data were extracted from the freely available online Medical Information Mart for Intensive Care III database. CRDs were defined according to ICD-9 codes. Generalised linear regression and propensity score matching were performed. Of 13,132 patients, 7.9% required re-intubation. Patients with chronic obstructive pulmonary disease (COPD) had higher re-intubation (OR 2.48, 95% CI 1.83–3.33) and mortality rates (OR 1.64, 95% CI 1.15–2.34) than those without. Patients with asthma had a lower mortality rate (OR 0.63, 95% CI 0.43–0.92) but a similar re-intubation rate to those of patients without. These findings remained stable after propensity score matching and bootstrapping analysis. The association of COPD with re-intubation was significantly stronger in patients with high oxygen-partial pressure (PaO2) or mild disease severity but was independent of carbon dioxide partial pressure. Corticosteroid use was associated with increased re-intubation rates in subgroups without CRDs (OR 1.77–1.99, p < 0.001) but not in subgroups with CRDs. COPD patients with high post-extubation PaO2 or mild disease severity should be carefully monitored as they have higher re-intubation and mortality rates.

Hospitalized with stroke at the weekend: Higher cost and risk of early death?

2021 ◽  
pp. 174749302199259
Author(s):  
Marco Ghiani ◽  
Sabrina Mueller ◽  
Ulf Maywald ◽  
Thomas Wilke
Keyword(s):  
Propensity Score ◽  
Cerebral Infarction ◽  
Propensity Score Matching ◽  
Disease Severity ◽  
Patient Characteristics ◽  
Weekend Effect ◽  
Health Claims ◽  
Hospital Death ◽  
Stroke Severity ◽  
Baseline Characteristics

Objectives Previous studies have shown that weekend hospitalizations are associated with poorer health outcomes and higher mortality (“weekend effect”). However, few of these studies have adjusted for disease severity and little is known about the effect on costs. This work investigates the weekend effect and its costs for patients with cerebral infarction in Germany, adjusting for patient characteristics and proxies of stroke severity. Methods Adult patients with a cerebral infarction hospitalization 10th revision of the International statistical classification of diseases and related health problems (ICD-10: I63) between 01 January 2014 and 30 June 2017 were included from German health claims (AOK PLUS dataset). Propensity score matching was used to match patients hospitalized on weekends or on public holidays (weekend group) with patients hospitalized during the working week (workday group), based on baseline characteristics and proxies for disease severity such as concomitant diagnoses of aphasia, ataxia, and coma, or peg tube at index hospitalization. Matched cohorts were compared in terms of in-hospital, 7-day, and 30-day mortality, as well as risk and costs of stroke and rehabilitation stays in the year after first stroke. Results Of 32,311 patients hospitalized with cerebral infarction between 01 January 2014 and 30 June 2017, 8409 were in the weekend group and 23,902 in the workday group. After propensity score matching, 16,730 patients were included in our study (8365 per group). Matched cohorts did not differ in baseline characteristics or stroke severity. In the weekend group, the risk of in-hospital death (11.2%) and the seven-day mortality rate (6.8%) were 13.1% and 17.2% higher than in the workday group, respectively (both p < 0.01). The hazard ratio for death in the weekend group was 1.1 ( p = 0.043). The risks of subsequent stroke hospitalization and rehabilitation stays for a stroke were 8.4% higher and 5.5% higher in the weekend group (both p = 0.02). As a result, the stroke-related hospitalization and rehabilitation costs per patient year were, respectively, 5.6% and 8.0% higher in the weekend group (both p = 0.01). Conclusions A significant weekend effect emerged after controlling for observable patient characteristics and proxies of stroke severity. This effect also resulted in higher costs for patients admitted on weekends.

Eosinopenie als Biomarker des Schweregrads einer COVID-19-Infektion

2021 ◽  
pp. 1-2
Author(s):  
Panagiota Xanthouli
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Disease Severity ◽  
Respiratory Diseases ◽  
Severe Disease ◽  
Public Hospitals ◽  
Chronic Respiratory Diseases ◽  
Lack Of Information ◽  
Obstructive Sleep ◽  
Increased Risk

<b>Background:</b> Studies on the role of eosinophils in coronavirus disease 2019 (COVID-19) are scarce, though available findings suggest a possible association with disease severity. Our study analyzes the relationship between eosinophils and COVID-19, with a focus on disease severity and patients with underlying chronic respiratory diseases. <b>Methods:</b> We performed a retrospective analysis of 3,018 subjects attended at two public hospitals in Madrid (Spain) with PCR-confirmed SARS-CoV-2 infection from January 31 to April 17, 2020. Patients with eosinophil counts less than 0.02 × 10<sup>9</sup>/L were considered to have eosinopenia. Individuals with chronic respiratory diseases (<i>n</i> = 384) were classified according to their particular underlying condition, i.e., asthma, chronic pulmonary obstructive disease, or obstructive sleep apnea. <b>Results:</b> Of the 3018 patients enrolled, 479 were excluded because of lack of information at the time of admission. Of 2539 subjects assessed, 1,396 patients presented an eosinophil count performed on admission, revealing eosinopenia in 376 cases (26.93%). Eosinopenia on admission was associated with a higher risk of intensive care unit (ICU) or respiratory intensive care unit (RICU) admission (OR:2.21; 95% CI:1.42–3.45; <i>p</i> &#x3c; 0.001) but no increased risk of mortality (<i>p</i> &#x3e; 0.05). <b>Conclusion:</b> Eosinopenia on admission conferred a higher risk of severe disease (requiring ICU/RICU care), but was not associated with increased mortality. In patients with chronic respiratory diseases who develop COVID-19, age seems to be the main risk factor for progression to severe disease or death.

A Comparison Between Selected Noncommunicable Disease Mortality Rates Between 2010 and 2016 Among Selected Southern African Countries

2020 ◽  
Vol 41 (2) ◽  
pp. 119-123 ◽  
Author(s):  
T. J. Ellapen ◽  
M. Barnard ◽  
G. L. Strydom ◽  
K. M. Masime ◽  
Y. Paul
Keyword(s):  
Diabetes Mellitus ◽  
South Africa ◽  
Respiratory Diseases ◽  
Mortality Rates ◽  
Noncommunicable Disease ◽  
Noncommunicable Diseases ◽  
African Countries ◽  
Death Rates ◽  
Chronic Respiratory Diseases ◽  
Disease Mortality

Researchers have identified cancer, diabetes mellitus, cardiovascular, and respiratory diseases as being the principal pathologies of increased aged standardized death rates (ASDRs) among noncommunicable diseases (NCDs). The objective of this study was to compare the change in the ASDR of these principal NCDs between the years 2010 and 2016 in Botswana, Mozambique, Namibia, South Africa, and Zimbabwe. ASDR data were collected from the 2016 Global Health Estimate. Among the selected Southern African countries for both 2010 and 2016, the order of prevalence of NCDs linked to increased ASDR was cardiovascular diseases (both cardiac and stroke), cancer, diabetes mellitus, and chronic respiratory diseases. The percentage of the total number of NCDs linked to increased ASDR in relation to total deaths increased from 43.8% (in 2010) to 51.0% (in 2016) from ( p < .0001). The percentage of principal NCDs in relation to total ASDR increased from 33.0% (in 2010) to 38.2% (in 2016; p < .0001).

scholarly journals Temporal Trends in Sepsis Incidence and Mortality in Patients With Cancer in the US Population

2021 ◽  
Vol 30 (4) ◽  
pp. e71-e79
Author(s):  
Michael A. Liu ◽  
Brianna R. Bakow ◽  
Tzu-Chun Hsu ◽  
Jia-Yu Chen ◽  
Ke-Ying Su ◽  
...  
Keyword(s):  
Propensity Score ◽  
Hospital Mortality ◽  
Propensity Score Matching ◽  
Cox Regression ◽  
Temporal Trends ◽  
Mortality Rates ◽  
Hazard Ratio ◽  
Patients With Cancer ◽  
Incidence And Mortality ◽  
The Impact

Background Few population-based studies assess the impact of cancer on sepsis incidence and mortality. Objectives To evaluate epidemiological trends of sepsis in patients with cancer. Methods This retrospective cohort study included adults (≥20 years old) identified using sepsis-indicator International Classification of Diseases codes from the Nationwide Inpatient Sample database (2006-2014). A generalized linear model was used to trend incidence and mortality. Outcomes in patients with cancer and patients without cancer were compared using propensity score matching. Cox regression modeling was used to calculate hazard ratios for mortality rates. Results The study included 13 996 374 patients, 13.6% of whom had cancer. Gram-positive infections were most common, but the incidence of gram-negative infections increased at a greater rate. Compared with patients without cancer, those with cancer had significantly higher rates of lower respiratory tract (35.0% vs 31.6%), intra-abdominal (5.5% vs 4.6%), fungal (4.8% vs 2.9%), and anaerobic (1.2% vs 0.9%) infections. Sepsis incidence increased at a higher rate in patients with cancer than in those without cancer, but hospital mortality rates improved equally in both groups. After propensity score matching, hospital mortality was higher in patients with cancer than in those without cancer (hazard ratio, 1.25; 95% CI, 1.24-1.26). Of patients with sepsis and cancer, those with lung cancer had the lowest survival (hazard ratio, 1.65) compared with those with breast cancer, who had the highest survival. Conclusions Cancer patients are at high risk for sepsis and associated mortality. Research is needed to guide sepsis monitoring and prevention in patients with cancer.

Hip Fracture Confers Significantly Greater Mortality Risk in Older Adults Relative to Other Lower Extremity Fractures (Preprint)

2021 ◽  
Author(s):  
Andrea Dimet ◽  
George Golovko ◽  
Stanley Watowich
Keyword(s):  
Older Adults ◽  
Hip Fracture ◽  
Propensity Score ◽  
Lower Extremity ◽  
Elderly Patients ◽  
Propensity Score Matching ◽  
Mortality Risk ◽  
Mortality Rates ◽  
One Year ◽  
Fracture Types

BACKGROUND Hip fracture in older adults is tied to increased mortality risk. Deconvolution of the mortality risk specific to hip fracture from that of various other fracture types has not been performed in recent hip fracture studies, but is critical to determining current unmet needs for therapeutic intervention. OBJECTIVE This study examined whether hip fracture increases the one-year post-fracture mortality rate relative to several other fracture types and determined if dementia or type 2 diabetes (T2D) exacerbates post-fracture mortality risk. METHODS TriNetX Diamond Network data were used to identify elderly patients that suffered a single fracture event of the hip, the upper humerus, or several regions near and distal to the hip between 2010-2019. Propensity-score matching, Kaplan-Meier, and hazard ratio analyses were performed for all fracture groupings relative to hip fracture. One-year post-fracture mortality rates in elderly populations with dementia or T2D were established. RESULTS One-year mortality rates following hip fracture consistently exceeded all other lower extremity fracture groupings as well as the upper humerus. Survival probabilities were dramatically lower in the hip fracture groups even after propensity score-matching cohorts for variety of broad categories of characteristics. Dementia in younger elderly cohorts acted synergistically with hip fracture to exacerbate one-year mortality risk. T2D did not exacerbate one-year mortality risk beyond mere additive effects. CONCLUSIONS Elderly patients post-hip fracture have a significantly decreased survival probability. Greatly increased one-year mortality rates following hip fracture may arise from differences in bone quality, bone density, trauma, concomitant fractures, post-fracture treatments or diagnoses, restoration of pre-fracture mobility, or a combination thereof. The synergistic effect of dementia may suggest detrimental mechanistic or behavioral combinations between these two comorbidities Renewed efforts should focus on modulating the mechanisms behind this heightened mortality risk, with particular attention to mobility and comorbid dementia.

Abstract P108: Assessing Utility of Drug-Eluting Stents in Coronary Patients Aged 85 Years and Older

2011 ◽  
Vol 4 (suppl_2) ◽  
Author(s):  
Daniel E Forman ◽  
Samip Vasaiwala ◽  
Traecy S Silbaugh ◽  
Ann Lovett ◽  
Sharon-Lise T Normand ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Mortality Rates ◽  
Vital Statistics ◽  
Current Evidence ◽  
Drug Eluting Stents ◽  
Entire Cohort ◽  
Target Vessel Revascularization ◽  
Drug Eluting

Background: Very old (VO) adults (≥85 years) are intrinsically susceptible to coronary heart disease (CHD) and are often treated with coronary stents. While current evidence supports use of drug-eluting stents (DES), generalizability to VO remains controversial, especially given high age-associated bleeding risks from long-term dual antiplatelet therapy. Methods: We identified all VO CHD patients who received stents between April 1, 2003 and September 30, 2006 at all non-federal hospitals in Massachusetts (MA) (N=1619), and completed 2-year follow-up on the entire cohort. Patients were classified as DES-treated if stents were all drug-eluting and BMS-treated if stents were all bare-metal (those receiving DES and BMS were excluded). Mortality rates were determined from vital statistics records. New myocardial infarction (MI) and subsequent bleeding (requiring hospitalization) were determined using ICD-9 codes. Repeat target vessel revascularization (TVR) was determined from the MA database. Risk-adjusted cumulative incidence was estimated using propensity score matching based on 57 clinical, procedural, hospital, and insurance variables. Results: During the study period, 1145 and 474 VO patients received DES and BMS respectively. Unadjusted 2-year mortality rates were 23.8% vs. 35.0% (DES vs. BMS, p<0.0001). Risk-adjusted (propensity score matching [665 DES:343 BMS]) 2-year DES vs. BMS rates were 25.4% vs. 32.4% (hazard ratio [HR] 0.69, 95% confidence interval [CI] 0.51, 0.93; p=0.01) for mortality and 9.8 vs.16.9% (HR 0.51, 95% CI 0.35, 0.76; p=0.001) for MI. Risk-adjusted 2-year rates of bleeding (13.6% vs. 12.5%, HR 1.08, 95% CI 0.73, 1.59; p=0.72) and TVR (5.7% vs. 8.7%, HR 0.62, 95% CI 0.38, 1.02; p=0.06) were similar in patients treated with DES vs. BMS. Conclusions: In a large, unrestricted, state dataset of VO CHD patients with mandated follow-up, DES were associated with reduced 2-year mortality and MI compared with a matched BMS subset, without an increased hazard of bleeding.

scholarly journals Chronic respiratory disease mortality and its associated factors in selected Asian countries: evidence from panel error correction model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Emerson Augusto Baptista ◽  
Sudeshna Dey ◽  
Soumya Pal
Keyword(s):  
Mortality Rate ◽  
Respiratory Diseases ◽  
Mortality Rates ◽  
Chronic Respiratory Disease ◽  
Gdp Per Capita ◽  
Asian Countries ◽  
Correction Model ◽  
Final Model ◽  
Chronic Respiratory Diseases ◽  
Per Capita

Abstract Background Chronic Respiratory Diseases (CRDs) in Asian countries are a growing concern in terms of morbidity and mortality. However, a systematic understanding of the increasing age-adjusted mortality rate of chronic respiratory disease (CRD) and its associated factors is not readily available for many Asian countries. We aimed to determine country-level factors affecting CRD mortality using a panel error correction model. Methods Based on data from the Global Burden of Disease Study 2017, we estimated the trends and distribution of CRD mortality for selected Asian countries from 2010 to 2017. Furthermore, we evaluated the relationship between CRD mortality and Gross Domestic Product (GDP) per capita, average years of schooling, urbanization, and pollutant emission (PM2.5 concentration) using a fixed-effect model. We corrected the estimates for heteroscedasticity and autocorrelation through Prais-Winsten adjustment along with robust standard error. Results Between 2010 and 2017, approximately 21.4 million people died from chronic respiratory diseases in the countries studied. Age-standardized crude mortality rate from CRDs in the period had minimum and maximum values of 8.19 (Singapore in 2016) and 155.42 (North Korea in 2010) per 100,000 population, respectively. The coefficients corrected for autocorrelation and heteroskedasticity based on the final model of our study (Prais-Winsten), showed that all explanatory variables were statistically significant (p < 0.001). The model shows that the 1% increase in GDP per capita results in a 20% increase (0.203) in the CRD mortality rate and that a higher concentration of air pollution is also positively associated with the CRD deaths (0.00869). However, an extra year of schooling reduces the mortality rate by 4.79% (− 0.0479). Further, rate of urbanization is negatively associated with the CRD death rate (− 0.0252). Conclusions Our results indicate that both socioeconomic and environmental factors impact CRD mortality rates. Mortality due to CRD increases with rising GDP per capita and decreases with the percentage of the total population residing in urban areas. Further, mortality increases with greater exposure to PM2.5. Also, higher years of schooling mitigate rising CRD mortality rates, showing that education can act as a safety net against CRD mortality. These results are an outcome of sequential adjustments in the final model specification to correct for heteroscedasticity and autocorrelation.

scholarly journals Eosinopenie als Biomarker des Schweregrads einer COVID-19-Infektion

2021 ◽  
pp. 1-2
Author(s):  
Panagiota Xanthouli
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Disease Severity ◽  
Respiratory Diseases ◽  
Severe Disease ◽  
Public Hospitals ◽  
Chronic Respiratory Diseases ◽  
Lack Of Information ◽  
Obstructive Sleep ◽  
Increased Risk

<b>Background:</b> Studies on the role of eosinophils in coronavirus disease 2019 (COVID-19) are scarce, though available findings suggest a possible association with disease severity. Our study analyzes the relationship between eosinophils and COVID-19, with a focus on disease severity and patients with underlying chronic respiratory diseases. <b>Methods:</b> We performed a retrospective analysis of 3018 subjects attended at two public hospitals in Madrid (Spain) with PCR-confirmed SARS-CoV-2 infection from January 31 to April 17, 2020. Patients with eosinophil counts less than 0.02×10<sup>9</sup>/L were considered to have eosinopenia. Individuals with chronic respiratory diseases (n = 384) were classified according to their particular underlying condition, i.e., asthma, chronic pulmonary obstructive disease, or obstructive sleep apnea. <b>Results:</b> Of the 3018 patients enrolled, 479 were excluded because of lack of information at the time of admission. Of 2539 subjects assessed, 1396 patients presented an eosinophil count performed on admission, revealing eosinopenia in 376 cases (26.93%). Eosinopenia on admission was associated with a higher risk of intensive care unit (ICU) or respiratory intensive care unit (RICU) admission (OR:2.21; 95%CI:1.42–3.45; <i>p &#x3c;</i>0.001) but no increased risk of mortality (<i>p &#x3e;</i>0.05). <b>Conclusion:</b> Eosinopenia on admission conferred a higher risk of severe disease (requiring ICU/RICU care), but was not associated with increased mortality. In patients with chronic respiratory diseases who develop COVID-19, age seems to be the main risk factor for progression to severe disease or death.

scholarly journals A Propensity Score Analysis Shows that Empirical Treatment with Linezolid Does Not Increase the Thirty-Day Mortality Rate in Patients with Gram-Negative Bacteremia

2014 ◽  
Vol 58 (12) ◽  
pp. 7025-7031 ◽  
Author(s):  
Hugo-Guillermo Ternavasio-de la Vega ◽  
Ana-María Mateos-Díaz ◽  
Jose-Antonio Martinez ◽  
Manel Almela ◽  
Nazaret Cobos-Trigueros ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Mortality Rate ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Propensity Score Analysis ◽  
Mortality Rates ◽  
Empirical Treatment ◽  
Gram Negative ◽  
Score Analysis ◽  
Gram Negative Bacteremia

ABSTRACTThe role of linezolid in empirical therapy of suspected bacteremia remains unclear. The aim of this study was to evaluate the influence of empirical use of linezolid or glycopeptides in addition to other antibiotics on the 30-day mortality rates in patients with Gram-negative bacteremia. For this purpose, 1,126 patients with Gram-negative bacteremia in the Hospital Clinic of Barcelona from 2000 to 2012 were included in this study. In order to compare the mortality rates between patients who received linezolid or glycopeptides, the propensity scores on baseline variables were used to balance the treatment groups, and both propensity score matching and propensity-adjusted logistic regression were used to compare the 30-day mortality rates between the groups. The overall 30-day mortality rate was 16.0% during the study period. Sixty-eight patients received empirical treatment with linezolid, and 1,058 received glycopeptides. The propensity score matching included 64 patients in each treatment group. After matching, the mortality rates were 14.1% (9/64) in patients who received glycopeptides and 21.9% (14/64) in those who received linezolid, and a nonsignificant association between empirical linezolid treatment and mortality rate (odds ratio [OR], 1.63; 95% confidence interval [CI], 0.69 to 3.82;P= 0.275, McNemar's test) was found. This association remained nonsignificant when variables that remained unbalanced after matching were included in a conditional logistic regression model. Further, the stratified propensity score analysis did not show any significant relationship between empirical linezolid treatment and the mortality rate after adjustment by propensity score quintiles or other variables potentially associated with mortality. In conclusion, the propensity score analysis showed that empirical treatment with linezolid compared with that with glycopeptides was not associated with 30-day mortality rates in patients with Gram-negative bacteremia.

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