scholarly journals Sex-specific and age-related seasonal variations regarding incidence and in-hospital mortality of pulmonary embolism in Germany

2020 ◽  
Vol 6 (2) ◽  
pp. 00181-2020
Author(s):  
Karsten Keller ◽  
Lukas Hobohm ◽  
Thomas Münzel ◽  
Stavros V. Konstantinides ◽  
Mareike Lankeit
Keyword(s):  
Pulmonary Embolism ◽  
Seasonal Variation ◽  
Hospital Mortality ◽  
Seasonal Variations ◽  
Nationwide Inpatient Sample ◽  
Age Related ◽  
Significant Seasonal Variation ◽  
Incidence And Mortality ◽  
Short Term Mortality ◽  
The Impact

BackgroundStudies have reported seasonal variations regarding the incidence and the short-term mortality of pulmonary embolism (PE). The aim of this study was to identify sex-specific and age-related differences in seasonal patterns regarding hospitalisations and mortality of PE patients.MethodsWe analysed the impact of seasons on incidence and in-hospital mortality of male and female hospitalised PE patients in Germany (2005–2015) based on the German nationwide inpatient sample.ResultsThe German nationwide inpatient sample comprised 885 806 hospitalisations due to PE (2005–2015). Seasonal variations of both incidence (p=0.021) and in-hospital mortality (p<0.001) were of significant magnitude. Quarterly annual incidence (25.5 versus 23.7 of 100 000 citizens per year, p=0.021) and in-hospital mortality (17.0% versus 16.7%, p=0.008) were higher in winter than in summer. Risk of in-hospital mortality in winter was slightly higher (OR 1.03 (95% CI 1.01–1.06), p=0.015) compared to summer, independently of sex, age and comorbidities. Additionally, we observed sex-specific differences during seasons: the highest number of hospitalisations of PE patients of both sexes was during winter, whereas the nadir of male patients was in spring and that of female patients was in summer. Both sexes showed a maximum of in-hospital mortality in spring. Seasonal variation regarding incidence and mortality was pronounced in older patients.ConclusionIncidence and the in-hospital mortality of PE patients showed a significant seasonal variation with sex-specific differences. Although it has to be hypothesised that the seasonal variation of PE is multifactorially dependent, variation in each season was not explained by seasonal differences regarding age, sex and the prevalence of important comorbidities.

P2653Seasonal variations of myocardial infarction and sex-specific differences in Germany

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Keller ◽  
L Hobohm ◽  
T Munzel ◽  
M A Ostad
Keyword(s):  
Myocardial Infarction ◽  
Seasonal Variation ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Seasonal Variations ◽  
The United States ◽  
Summer Season ◽  
Recurrent Event ◽  
Acute Mi ◽  
The Impact

Abstract Background Ischemic heart disease (IHD) is the most common cause of death with an increasing frequency worldwide. It accounts for approximately 20% of all deaths in Europe and the United States of America. Approximately 1/3 of the IHD patients present with sudden cardiac death. The acute presentation of IHD myocardial infarction (MI) is a life-threatening, serious health problem, which causes substantially morbidity and mortality. It is well established that the onset of MI follows a circadian and seasonal periodicity. Seasonal variation regarding the incidence and the short-term mortality of acute MI was frequently reported, but data about sex-specific differences are sparse. Purpose Thus, our objectives were to investigate seasonal variations of myocardial infarction. Methods We analyzed the impact of seasons on incidence and in-hospital mortality of patients with acute MI in Germany from 2005 to 2015. We included all MI patients (ICD code I21) with an acute MI (, but not those MI patients with a recurrent event in the first 28 days after a previous MI (ICD code I22)), who were hospitalized in Germany between 2005 and 2015, in this analysis (source: RDC of the Federal Statistical Office and the Statistical Offices of the federal states, DRG Statistics 2005–2015, own calculations). Results The nationwide sample comprised 3,008,188 hospitalizations of patients with MI (2005–2015). The annual incidence was 334.7 per 100.000 population. Incidence inclined from 316.3 to 341.6 per 100.000 population per year (β 0.17 [0.10 to 0.24], P<0.001), while in-hospital mortality rate decreased from 14.1% to 11.3% (β −0.29 [−0.30 to −0.28, P<0.001). Overall, 377,028 (12.5%) patients died in-hospital. Seasonal variation of both incidence and in-hospital mortality were of substantial magnitude. Seasonal incidence (86.1 vs. 79.0 per 100.000 population per year, P<0.001) and in-hospital mortality (13.2% vs. 12.1%, P<0.001) were higher in the winter than in the summer saeson. Risk to die in winter was elevated (OR 1.080 (95% CI 1.069–1.091), P<0.001) compared to summer season independently of sex, age and comorbidities. Reperfusion treatment with drug eluting stents and coronary artery bypass graft were more often used in summer. We observed sex-specific differences regarding the seasonal variation of in-hospital mortality: males showed lowest mortality in summer, while females during fall. Low temperature dependency of mortality seems more pronounced in males. Conclusions Incidence of acute MI increased 2005–2015, while in-hospital mortality rate decreased. Seasonal variations of incidence and in-hospital mortality were of substantial magnitude with lowest incidence and lowest mortality in the summer season. Additionally, we observed sex-specific differences regarding the seasonal variation of the in-hospital mortality. Acknowledgement/Funding This study was supported by the German Federal Ministry of Education and Research (BMBF 01EO1503)

scholarly journals Effect of Seasonal Variation on Clinical Outcome in Patients with Chronic Conditions: Analysis of the Commonwealth Scientific and Industrial Research Organization (CSIRO) National Telehealth Trial (Preprint)

2017 ◽  
Author(s):  
Ahmadreza Argha ◽  
Andrey Savkin ◽  
Siaw-Teng Liaw ◽  
Branko George Celler
Keyword(s):  
Seasonal Variation ◽  
Length Of Stay ◽  
Clinical Outcome ◽  
Seasonal Variations ◽  
Chronic Conditions ◽  
Hospital Admissions ◽  
Australian Capital Territory ◽  
Home Telemonitoring ◽  
The Impact ◽  
At Home

BACKGROUND Seasonal variation has an impact on the hospitalization rate of patients with a range of cardiovascular diseases, including myocardial infarction and angina. This paper presents findings on the influence of seasonal variation on the results of a recently completed national trial of home telemonitoring of patients with chronic conditions, carried out at five locations along the east coast of Australia. OBJECTIVE The aim is to evaluate the effect of the seasonal timing of hospital admission and length of stay on clinical outcome of a home telemonitoring trial involving patients (age: mean 72.2, SD 9.4 years) with chronic conditions (chronic obstructive pulmonary disease coronary artery disease, hypertensive diseases, congestive heart failure, diabetes, or asthma) and to explore methods of minimizing the influence of seasonal variations in the analysis of the effect of at-home telemonitoring on the number of hospital admissions and length of stay (LOS). METHODS Patients were selected from a hospital list of eligible patients living with a range of chronic conditions. Each test patient was case matched with at least one control patient. A total of 114 test patients and 173 control patients were available in this trial. However, of the 287 patients, we only considered patients who had one or more admissions in the years from 2010 to 2012. Three different groups were analyzed separately because of substantially different climates: (1) Queensland, (2) Australian Capital Territory and Victoria, and (3) Tasmania. Time series data were analyzed using linear regression for a period of 3 years before the intervention to obtain an average seasonal variation pattern. A novel method that can reduce the impact of seasonal variation on the rate of hospitalization and LOS was used in the analysis of the outcome variables of the at-home telemonitoring trial. RESULTS Test patients were monitored for a mean 481 (SD 77) days with 87% (53/61) of patients monitored for more than 12 months. Trends in seasonal variations were obtained from 3 years’ of hospitalization data before intervention for the Queensland, Tasmania, and Australian Capital Territory and Victoria subgroups, respectively. The maximum deviation from baseline trends for LOS was 101.7% (SD 42.2%), 60.6% (SD 36.4%), and 158.3% (SD 68.1%). However, by synchronizing outcomes to the start date of intervention, the impact of seasonal variations was minimized to a maximum of 9.5% (SD 7.7%), thus improving the accuracy of the clinical outcomes reported. CONCLUSIONS Seasonal variations have a significant effect on the rate of hospital admission and LOS in patients with chronic conditions. However, the impact of seasonal variation on clinical outcomes (rate of admissions, number of hospital admissions, and LOS) of at-home telemonitoring can be attenuated by synchronizing the analysis of outcomes to the commencement dates for the telemonitoring of vital signs. CLINICALTRIAL Australian New Zealand Clinical Trial Registry ACTRN12613000635763; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364030&isReview=true (Archived by WebCite at http://www.webcitation.org/ 6xLPv9QDb)

scholarly journals Association of Resident Duty Hour Restrictions on Mortality of Nervous System Disease and Disorder

2016 ◽  
Vol 8 (4) ◽  
pp. 576-580 ◽  
Author(s):  
Ian Churnin ◽  
Joel Michalek ◽  
Ali Seifi
Keyword(s):  
Nervous System ◽  
Hospital Mortality ◽  
Nationwide Inpatient Sample ◽  
Teaching Hospitals ◽  
Nonteaching Hospital ◽  
System Disease ◽  
Significant Difference ◽  
Reform Period ◽  
Teaching Status ◽  
The Impact

ABSTRACT Background  The impact of the 2003 residency duty hour reform on patient care remains a debated issue. Objective  Determine the association between duty hour limits and mortality in patients with nervous system pathology. Methods  Via a retrospective cohort study using the Nationwide Inpatient Sample from 2000–2010, the authors evaluated in-hospital mortality status in those with a primary discharge level diagnosis of disease or disorder of the nervous system. Odds ratios were calculated, and Bonferroni corrected P values and confidence intervals were determined to account for multiple comparisons relating in-hospital mortality with teaching status of the hospital by year. Results  The pre-reform (2000–2002) and peri-reform (2003) periods revealed no significant difference between teaching and nonteaching hospital mortality (P &gt; .99). The post-reform period (2004–2010) was dominated by years of significantly higher mortality rates in teaching hospitals compared to nonteaching hospitals: 2004 (P &lt; .001); 2006 (P = .043); 2007 (P = .042); and 2010 (P = .003). However, data for 2005 (P ≥ .99), 2008 (P = .80), and 2009 (P = .09) did not show a significant difference in mortality. Conclusions  Teaching and nonteaching hospital mortality was similar in patients with nervous system pathology prior to the duty hour reform. While nonteaching institutions demonstrated steadily declining mortality over the decade, teaching hospital mortality spiked in 2004 and declined at a more restricted rate. The timing of these changes could suggest a negative correlation of duty hour restrictions on outcomes of patients with nervous system pathology.

P2769Racial differences in outcomes among acute pulmonary embolism patients: a nationwide analysis

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Shi
Keyword(s):  
Pulmonary Embolism ◽  
Regression Analysis ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Acute Pulmonary Embolism ◽  
Primary Diagnosis ◽  
Total Cost ◽  
Rehabilitation Facilities ◽  
The Impact ◽  
White Patients

Abstract Background Limited data is available regarding racial disparities in patients admitted for acute pulmonary embolism. Purpose We aimed to examine the impact of racial differences on outcomes in patients admitted for acute pulmonary embolism. Methods We used the Nationwide Inpatient Sample, which represents 20% of community hospital discharges in the US, to identify adult patients who were discharged with the primary diagnosis of acute pulmonary embolism in 2016 with ICD-10 codes. Logistic regression analysis and linear regression analysis were used to compare patients with different races. Outcomes were focused on in-hospital mortality, total cost, length of stay and disposition, adjusting gender, age, Charlson comorbid index and socioeconomic variables. Results In 2016, 35,526 patients were admitted with a primary diagnosis of acute pulmonary embolism. White patients were more likely to be older and with higher income. After adjusting for the above variables, white patients had lower total cost of hospitalization (p<0.0001), shorter length of stay (p<0.0001), lower in-hospital mortality (adjusted odds ratio = 0.79, p=0.001), and more likely to be discharged to rehabilitation facilities compared to being discharged home. Outcomes in white vs non-white patients Conclusion Among acute pulmonary embolism hospitalizations, white patients generally had better outcomes despite being older in age, and were more likely to be transferred to rehabilitation facilities after discharge.

SEASONAL VARIATIONS IN HEMOGLOBIN AND HEMATOCRIT VALUES IN THE NORTHERN RED-BACKED MOUSE, CLETHRIONOMYS RUTILUS DAWSONI (MERRIAM), IN INTERIOR ALASKA

1966 ◽  
Vol 44 (2) ◽  
pp. 213-224 ◽  
Author(s):  
J. A. Sealander
Keyword(s):  
Seasonal Variation ◽  
Seasonal Variations ◽  
Seasonal Cycle ◽  
Thermal Characteristics ◽  
Mean Corpuscular Hemoglobin ◽  
Corpuscular Hemoglobin ◽  
Interior Alaska ◽  
Significant Seasonal Variation ◽  
Body Weights ◽  
Clethrionomys Rutilus

Seasonal variations in hemoglobin and hematocrit values were determined in the northern red-backed mouse, Clethrionomys rutilus dawsoni, from July 1963 through August 1964 in the vicinity of College, Alaska. Hemoglobin concentrations and hematocrits did not show any significant seasonal variation. The relative constancy of the blood values was considered to be a reflection of the rather uniform thermal characteristics of the microenvironment inhabited by the mice. Mean corpuscular hemoglobin concentrations followed a cycle which varied inversely with the ambient macroenvironmental temperature, while net body weights followed a seasonal cycle which was directly correlated with the ambient temperature of the macroenvironment.

scholarly journals Association of hypocalcemia with in-hospital mortality and complications in patients with acute pulmonary embolism: results from the 2017 Nationwide Inpatient Sample

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mukunthan Murthi ◽  
Hafeez Shaka ◽  
Zain El-amir ◽  
Sujitha Velagapudi ◽  
Abdul Jamil ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Nationwide Inpatient Sample ◽  
Acute Pulmonary Embolism ◽  
Multivariate Logistic Regression Analysis ◽  
Kidney Injury ◽  
Medical Problem ◽  
Mortality And Morbidity ◽  
Acute Pe

Abstract Background Acute pulmonary embolism (PE) is a common cause for hospitalization associated with significant mortality and morbidity. Disorders of calcium metabolism are a frequently encountered medical problem. The effect of hypocalcemia is not well defined on the outcomes of patients with PE. We aimed to identify the prognostic value of hypocalcemia in hospitalized PE patients utilizing the 2017 Nationwide Inpatient Sample (NIS). Methods In this retrospective study, we selected patients with a primary diagnosis of Acute PE using ICD 10 codes. They were further stratified based on the presence of hypocalcemia. We primarily aimed to compare in-hospital mortality for PE patients with and without hypocalcemia. We performed multivariate logistic regression analysis to adjust for potential confounders. We also used propensity‐matched cohort of patients to compare mortality. Results In the 2017 NIS, 187,989 patients had a principal diagnosis of acute PE. Among the above study group, 1565 (0.8%) had an additional diagnosis of hypocalcemia. 12.4% of PE patients with hypocalcemia died in the hospital in comparison to 2.95% without hypocalcemia. On multivariate regression analysis, PE and hypocalcemia patients had 4 times higher odds (aOR-4.03, 95% CI 2.78–5.84, p < 0.001) of in-hospital mortality compared to those with only PE. We observed a similarly high odds of mortality (aOR = 4.4) on 1:1 propensity-matched analysis. The incidence of acute kidney injury (aOR = 2.62, CI 1.95–3.52, p < 0.001), acute respiratory failure (a0R = 1.84, CI 1.42–2.38, p < 0.001), sepsis (aOR = 4.99, CI 3.08–8.11, p < 0.001) and arrhythmias (aOR = 2.63, CI 1.99–3.48, p < 0.001) were also higher for PE patients with hypocalcemia. Conclusion PE patients with hypocalcemia have higher in-hospital mortality than those without hypocalcemia. The in-hospital complications were also higher, along with longer length of stay.

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.

Abstract 61: Seasonal Variation of In-Hospital Mortality in Patients with Acute Ischemic Stroke

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Nilay Kumar ◽  
Neetika Garg ◽  
Monica Khunger ◽  
Anand Venkatraman
Keyword(s):  
Ischemic Stroke ◽  
Seasonal Variation ◽  
Hospital Mortality ◽  
Acute Ischemic Stroke ◽  
Winter Season ◽  
Teaching Hospitals ◽  
National Database ◽  
Hospital Discharges ◽  
Incidence And Mortality ◽  
July Effect

Background and objectives: Seasonal patterns in incidence and mortality are well known for cardiovascular diseases (CVD) including acute myocardial infarction and arrhythmias. It is unclear whether in-hospital mortality in patients with acute ischemic stroke (AIS) exhibits seasonal variation. Methods: We searched the 2011 Nationwide Inpatient Sample for discharges with a principal diagnosis of AIS using the ICD-9 codes 433.01, 433.11, 433.21, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91 and 437.1. Seasonal variation in in-hospital mortality was tested using logistic regression with admission season and month as categorical predictors in separate models. In addition to annual variation, we tested for the “July effect” of increase in mortality in teaching hospitals. Results: There was an estimated 467, 849 discharges for AIS of which 21,149 (4.53%) died in the hospital. Compared to summer months, the risk of in-hospital mortality was 12.6% higher in winter and 10.2% higher in the fall (p=0.004 for winter vs. summer, p=0.024 for fall vs. summer). Compared to August, mortality was 18.20% higher in January (p=0.026 for comparison) and 24.3% higher in December (p=0.003 for comparison) (Table shows odds ratio of death compared to reference season/month). We did not find any evidence of a “July effect” of increased mortality, often attributed to new trainees, in teaching hospitals (p=0.830 for June vs. July) Conclusions: In a large national database of hospital discharges related to AIS, mortality was significantly higher in colder months compared to warmer months. Our study adds to the growing body of evidence that links winter season to worse outcomes in CVD.

scholarly journals The Impact of Age on the Delay in Diagnosis in Patients With Acute Pulmonary Embolism

2011 ◽  
Vol 17 (6) ◽  
pp. 605-610 ◽  
Author(s):  
T. M. Berghaus ◽  
C. Thilo ◽  
W. von Scheidt ◽  
M. Schwaiblmair
Keyword(s):  
Pulmonary Embolism ◽  
Hospital Mortality ◽  
Older Patients ◽  
Acute Pulmonary Embolism ◽  
Clinical Presentation ◽  
Late Diagnosis ◽  
Hospital Death ◽  
Delay In Diagnosis ◽  
The Impact ◽  
Acute Pe

It has been speculated that the atypical clinical presentation of acute pulmonary embolism (PE) in older patients leads to a late diagnosis and therefore contributes to a worse prognosis. Therefore, we prospectively evaluated the delay in diagnosis and its relation to the in-hospital mortality in 202 patients with acute PE. Patients >65 years presented more often with hypoxia ( P = .017) and with a history of syncope ( P = .046). Delay in diagnosis was not statistically different in both age groups. Older age was significantly associated with an increased risk for in-hospital mortality (OR 4.36, 95% CI 0.93-20.37, P = .043), whereas the delay in diagnosis was not associated with an increase of in-hospital mortality. We therefore conclude that the clinical presentation of acute PE in older patients cannot be considered as a risk factor for late diagnosis and is not responsible for their higher in-hospital death rate.

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