scholarly journals Incidence and risk factors analysis for mortality after total knee arthroplasty based on a large national database in Korea

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ho-Jun Choi ◽  
Han-Kook Yoon ◽  
Hyun-Cheol Oh ◽  
Ju-Hyung Yoo ◽  
Chong-Hyuk Choi ◽  
...  

AbstractThis study aimed to analyze the rates and risk factors of postoperative mortality among 560,954 patients who underwent total knee arthroplasty (TKA) in Korea. The National Health Insurance Service-Health Screening database was used to analyze 560,954 patients who underwent TKA between 2005 and 2018. In-hospital, ninety-day, and one-year postoperative mortality, and their association with patient’s demographic factors and various comorbidities (ie., cerebrovascular disease, congestive heart failure, and myocardial infarction) were assessed. In-hospital, ninety-day and one-year mortality rates after TKA were similar from 2005 to 2018. The risk of in-hospital mortality increased with comorbidities like cerebrovascular disease (hazard ratio [HR] = 1.401; 95% confidence interval [CI] = 1.064–1.844), congestive heart failure (HR = 2.004; 95% CI = 1.394 to 2.881), myocardial infarction (HR = 2.111; 95% CI = 1.115 to 3.998), and renal disease (HR = 2.641; 95% CI = 1.348–5.173). These co-morbidities were also independent predictors of ninety-day and one-year mortality. Male sex and old age were independent predictors for ninety-day and one-year mortality. And malignancy was risk factor for one-year mortality. The common preoperative risk factors for mortality in all periods were male sex, old age, cerebrovascular disease, congestive heart failure, myocardial infarction, and renal disease. Malignancy was identified as risk factor for one-year mortality. Patients with these comorbidities should be provided better perioperative care.

2020 ◽  
Vol 9 (8) ◽  
pp. 931-938 ◽  
Author(s):  
Mattias Skielta ◽  
Lars Söderström ◽  
Solbritt Rantapää-Dahlqvist ◽  
Solveig W Jonsson ◽  
Thomas Mooe

Aims: Rheumatoid arthritis may influence the outcome after an acute myocardial infarction. We aimed to compare trends in one-year mortality, co-morbidities and treatments after a first acute myocardial infarction in patients with rheumatoid arthritis versus non-rheumatoid arthritis patients during 1998–2013. Furthermore, we wanted to identify characteristics associated with mortality. Methods and results: Data for 245,377 patients with a first acute myocardial infarction were drawn from the Swedish Register of Information and Knowledge about Swedish Heart Intensive Care Admissions for 1998–2013. In total, 4268 patients were diagnosed with rheumatoid arthritis. Kaplan-Meier analysis was used to study mortality trends over time and multivariable Cox regression analysis was used to identify variables associated with mortality. The one-year mortality in rheumatoid arthritis patients was initially lower compared to non-rheumatoid arthritis patients (14.7% versus 19.7%) but thereafter increased above that in non-rheumatoid arthritis patients (17.1% versus 13.5%). In rheumatoid arthritis patients the mean age at admission and the prevalence of atrial fibrillation increased over time. Congestive heart failure decreased more in non-rheumatoid arthritis than in rheumatoid arthritis patients. Congestive heart failure, atrial fibrillation, kidney failure, rheumatoid arthritis, prior diabetes mellitus and hypertension were associated with significantly higher one-year mortality during the study period 1998–2013. Conclusions: The decrease in one-year mortality after acute myocardial infarction in non-rheumatoid arthritis patients was not applicable to rheumatoid arthritis patients. This could partly be explained by an increased age at acute myocardial infarction onset and unfavourable trends with increased atrial fibrillation and congestive heart failure in rheumatoid arthritis. Rheumatoid arthritis per se was associated with a significantly worse prognosis.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Scott Mu ◽  
Caitlin W Hicks ◽  
Natalie R Daya ◽  
Randi E Foraker ◽  
Anna Kucharska-newton ◽  
...  

Introduction: Hospitalization is a complex health exposure and the period immediately following acute-care hospitalization is a high-risk state. Self-rated health is a subjective indicator of health and the long-term trends in self-rated health after hospitalization are not well characterized. Hypotheses: 1. Self-rated health decreases after hospitalization, with only partial recovery in the following years. 2. Poor self-rated health after hospitalization is associated with increased mortality. Methods: We analyzed 13,758 participants in the Atherosclerosis Risk in Communities (ARIC) Study with at least 1 hospitalization. Self-rated health was assessed annually and rated on a 4-point scale as follows: “Over the past year, compared to other people your age, would you say that your health has been excellent(=4), good(=3), fair(=2) or poor(=1)?" Using Cox regression and Kaplan-Meier methods, we evaluated mortality after hospitalization for myocardial infarction, congestive heart failure, cerebrovascular disease, pneumonia or diabetes mellitus with complications. Results: The mean self-rated health the year prior to hospitalization was 2.82 and the nadir of self-rated health was 2.62, occurring 1 year after hospitalization (Fig 1a). As compared to “excellent” self-rated health, “poor” self-rated health after any hospitalization was strongly associated with mortality (HR 4.65, 95% CI 4.27-5.07). Corresponding HRs (95% CI) for mortality post-hospitalization were 3.12 (2.30-4.22) for acute myocardial infarction, 3.08 (2.39-3.96) for congestive heart failure, 2.15 (1.43-3.23) for acute cerebrovascular disease, 4.54 (3.39-6.09) for pneumonia, and 3.32 (2.35-4.69) for diabetes mellitus with complications (Fig 1b). Conclusion: Mean self-rated health decreases significantly after hospitalization and worse self-rated health is associated with higher mortality. Self-rated health is an easily obtained patient centered outcome with valuable prognostic information.


2015 ◽  
Vol 81 (4) ◽  
pp. 358-364 ◽  
Author(s):  
Zhobin Moghadamyeghaneh ◽  
Steven D. Mills ◽  
Joseph C. Carmichael ◽  
Alessio Pigazzi ◽  
Michael J. Stamos

There are limited data regarding the specific risk factors of postoperative myocardial infarction (MI) in patients undergoing colorectal resectional surgery. We sought to identify risk factors of acute MI after colorectal resection operations. The National Inpatient Sample database was used to identify patients who had postoperative MI after colorectal resection operations between 2002 and 2010. Statistical analysis was performed to identify factors predictive of postoperative MI. We sampled a total of 2,513,124 patients undergoing colorectal resection, of whom 38,317 (1.5%) sustained a postoperative MI. Patients with postoperative MI had associated 28.5 per cent in-hospital mortality. Risk factors identified include ( P < 0.01): history of congestive heart failure (odds ratio [OR], 8.18), chronic renal failure (OR, 3.86), age 70 years or older (OR, 3.68), peripheral vascular disorders (OR, 2.93), fluid and electrolyte disorders (OR, 2.69), emergency admission (OR, 2.56), preoperative weight loss (OR, 2.49), cardiac valvular disease (OR, 2.46), chronic lung disease (OR, 1.75), deficiency anemia (OR, 1.22), colorectal cancer (OR, 1.77), and hypertension (OR, 1.14). Postoperative MI occurs in less than 2 per cent of colorectal resections. However, patients sustaining postoperative MI are over six times more likely to die. Congestive heart failure and chronic renal failure are the strongest predictors of postoperative MI.


2020 ◽  
Author(s):  
JINGSHENG SHI ◽  
JIE YU ◽  
JINGDE DENG ◽  
CHAOJUN ZHENG ◽  
GUANGLEI ZHAO ◽  
...  

Abstract Background:Malnutrition is reported as one of the risk factors for surgical site infection (SSI). The prognostic nutritional index (PNI) is a simple method for nutritional evaluation. However, few studies have discussed the effectiveness of PNI as a nutritional assessment in predicting SSI after primary total knee arthroplasty (TKA). The aim of this study is to investigate the relationship between SSI and malnutrition as identified by the PNI scores following TKA. Methods: A retrospective analysis of 483 patients (SSI vs. non-SSI group: 19 vs. 464; follow-up period: at least 1 year) was performed to confirm the risk factors, including the PNI, associated with SSI after primary TKA using both univariate and multivariate analyses. Results: Postoperatively, nineteen patients (19/483, 3.9%) experienced SSI (deep vs. superficial SSI: 12 vs. 7), and periprosthetic joint infection was observed in all deep SSI cases. Univariate analysis showed that male sex, body weight, body mass index (BMI), diabetes mellitus, steroid usage, operative time and PNI differed between the SSI and non-SSI groups (P<0.05). Multivariate logistic regression analysis identified that the preoperative PNI (odds ratio [OR]: 0.859; 95% confidence interval [CI]: 0.762-0.969; cutoff [CV]: 49.27), operative time (OR: 1.005; 95% CI: 1.000-1.010; CV: 131.0 min), male sex (OR: 4.127; 95% CI: 1.165-14.615), diabetes mellitus (OR: 6.133; 95% CI: 2.067-18.193) and steroid usage (OR: 6.034; 95% CI: 1.521-23.935) were independently associated with SSI (P<0.05). Conclusions: A low preoperative PNI associated with malnutrition was demonstrated to be an independent risk factor for SSI following primary TKA. Patients with preoperative low PNI should be cautioned and provided with adequate nutritional intervention to reduce postoperative SSI.


2020 ◽  
Vol 16 (2) ◽  
pp. 250-257
Author(s):  
O. L. Barbarash ◽  
D. Yu. Sedykh ◽  
I. S. Bykova ◽  
V. V. Kashtalap ◽  
A. D. Erlich

Aim. To identify specific risk factors and features of the course of myocardial infarction (MI) in young patients.Material and methods. The study design is based on a comparison of observation data for patients of different ages from the Russian RECORD-3 registry (n=2359) and the registry of acute coronary syndrome of the Kemerovo city in 2015 (n=1343). The clinical and anamnestic portrait was determined, the frequency of hospital complications and the “hard” endpoints were evaluated.Results. Young patients with myocardial infarction (MI) according to RECORD-3 are more often male smokers (p=0.001) with a heredity in cardiovascular pathology (p=0.034), who have an uncomplicated STEMI upon admission to the hospital, and are sent for coronary angiography with stenting (p=0.001), without prescribing statins in the primary and secondary prevention (p=0.050 and p=0.016, respectively). There were no differences with other age groups by endpoints a year later; during the current hospitalization, young patients less often died (p=0.001) or had a relapse of MI (p=0.011). Young patients with MI from Kemerovo were also mostly male smokers (p=0.001), who more often had a history of chronic kidney disease, chronic heart failure, and lipid metabolism disorders (p=0.001), who admitted to the hospital with uncomplicated STEMI, actively undergoing thrombolytic therapy and endovascular diagnosis and treatment (p=0.001). However, it should be noted that these patients were less likely to receive aspirin (p=0.015), dual antiplatelet therapy (p=0.003), angiotensin converting enzyme (ACE) inhibitors (p=0.040) and statins (p=0.001). Moreover, in young patients with MI, deficiency of high density lipoproteins (p=0.005) was more often found in the absence of very high values of low density lipoproteins (p=0.001). Among the complications of inpatient treatment, it should be noted a tendency to bleeding (p=0.001). One year after referent MI a high proportion of repeated non-fatal MI (p=0.005) and deaths (p=0.001) were observed. A comparison of the registries showed that young patients from Kemerovo were more likely to have STEMI (p=0.032), they were more likely to have stenting (p=0.004), they were more often diagnosed with chronic renal and heart failure (p=0.001), and more often ACE inhibitors was prescribed (p=0.017), and MI during hospitalization was more often complicated by bleeding (p=0.003).Conclusion. From 1.7 to 2.4% of all MI occurs in young patients. The most frequent version of the debut is STEMI. The leading factors of cardiovascular risk in such patients are the male gender, active smoking, a hereditary history of cardiovascular diseases, low cholesterol of high density lipoproteins with insufficient statins prevention. In young patients of the Kemerovo registry, chronic heart failure and chronic kidney disease were more often observed, and ACE inhibitors were prescribed, hospitalization was often accompanied by bleeding. In a young age differences in the frequency and structure of outcomes in one year after referent MI were not found when comparing registries.


2016 ◽  
Vol 24 (3) ◽  
pp. 302-306 ◽  
Author(s):  
Theano Tsonga ◽  
Maria Michalopoulou ◽  
Stylianos Kapetanakis ◽  
Eirini Giovannopoulou ◽  
Paraskevi Malliou ◽  
...  

Purpose To evaluate the regression of fear of falling (FOF) and identify its risk factors in patients with severe knee osteoarthritis before and one year after total knee arthroplasty (TKA). Methods 11 men and 57 women with a mean age of 73 years and a mean body mass index of 30.36 kg/m2 who had severe (grade 3 or 4) knee osteoarthritis and knee pain of ≥1 year were included. Two weeks before and one year after TKA, patients were asked about their FOF status and falls history. Patients were asked to complete the Physical Activity Scale for the Elderly, Short Form 36 (SF-36), and Western Ontario and McMaster Universities Arthritis Index (WOMAC) questionnaires. Clinical performance was assessed using the Berg Balance Scale and Timed Up and Go (TUG) test. Results Of the 68 patients, 56 (82.4%) had FOF preoperatively and 30 (44.1%) had FOF one year after TKA (p<0.001). The strongest predictors for FOF preoperatively were fallers (odds ratio [OR]=9.83, p=0.028), mental component summary (MCS) score of SF-36 (OR=0.88, p=0.024), and TUG (OR=3.4, p=0.013). The strongest predictors for FOF one year postoperatively were fallers (OR=16.51, p=0.041), patients with ≥2 chronic diseases (OR=17.33, p=0.011), physical function score of WOMAC (OR=1.015, p=0.005), and MCS score of SF-36 (OR=0.86, p=0.015). Conclusion TKA positively affected FOF and gradually reduced the FOF rate over a year period after TKA in an elderly population.


2018 ◽  
Vol 26 (5) ◽  
pp. 309-313 ◽  
Author(s):  
Eva J. Lehtonen ◽  
Matthew C. Hess ◽  
Gerald McGwin Jr. ◽  
Ashish Shah ◽  
Alexandre Leme Godoy-Santos ◽  
...  

ABSTRACT Objective: To identify independent risk factors, complications and early hospital readmission following total knee arthroplasty. Methods: Using the ACS-NSQIP database, we identified patients who underwent primary TKA from 2012-2015. The primary outcome was early hospital readmission. Patient demographics, preoperative comorbidities, laboratory data, operative characteristics, and postoperative complications were compared between readmitted and non-readmitted patients. Logistic regression identified independent risk factors for 30-day readmission. Results: 137,209 patients underwent TKA; 3.4% were readmitted within 30 days. Advanced age, male sex, black ethnicity, morbid obesity, presence of preoperative comorbidities, high ASA classification, and increased operative time were independently related risk factors. Asian and no reported race were negative risk factors. Postoperative complications: acute myocardial infarction, acute renal failure, stroke, pneumonia, pulmonary embolism, and deep vein thrombosis show positive associations. Conclusions: Advanced age, male sex, black ethnicity, morbid obesity, presence of comorbidities, high ASA classification and long operative time are independent risk factors for postoperative complications and early hospital readmission following total knee arthroplasty. Level of Evidence III, Case control study.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4490-4490
Author(s):  
Asifa Malik ◽  
Jorge E. Cortes ◽  
Hagop Kantarjian ◽  
Gloria Mattiuzzi ◽  
Gloria Iliescu ◽  
...  

Abstract Abstract 4490 Background: Imatinib is currently standard therapy for patients with success in Chronic Myeloid Leukemia (CML). Several instances of cardiac adverse events have been reported for patients while on therapy with imatinib. In many instances, these events occur in patients with pre-existing cardiac conditions. The aim of our study was to determine the occurrence of cardiac events in patients with CML treated with Imatinib, and the impact that cardiac risk factors and pre-existing cardiac conditions had on the risk of developing cardiac adverse effects. Methods: We reviewed the medical records of 51 patients with chronic phase CML who were treated with imatinib after failing prior therapies. For each patient we collected cardiac risk factors, pre-existing cardiac disease, pre-treatment EKG and echocardiogram (ECHO) readings, as well as post-treatment changes in EKG and ECHO findings. Results: Pre-existing cardiac conditions were found in 14 (27%) patients, including congestive heart failure in 2 (4%), myocardial infarction in 4 (8%), atrial fibrillation in 1 (2%), benign arrhythmias in 1(2%), aortic regurgitation in 1(2%), mitral valve prolapse in 1 (2%), mitral regurgitation in 1(2%), pericarditis in 1(2%), bradycardia in1(2%) and benign arrhythmia in 1(2%). Cardiac risk factors were present in 26 patients (51%), including smoking in 10 patients (20%), hypertension in 17 (33%), diabetes mellitus in 9 (18%), obesity in 2 (4%), hyperlipidemia in 5 (10%), stress (self-reported by patient or on anxiolytic therapy) in 5 (10%), alcohol in 11 (22%), atherosclerosis in 3 (6%), and positive family history for cardiac disease in 5 patients (9.8%). Cardiac events were noted in 19 patients (37%) of whom 11 (58%) had pre-existing cardiac conditions prior to initiating imatinib treatment and 14 patients (27%) had at least one cardiac risk factor. Congestive heart failure with clinical manifestations was seen in 9 patients (18%) with documentation of decreased ejection fraction on echocardiogram seen in 3 patients (6%) who had a decrease in LVEF from a median of 55% (range 50% to 72%) to a median of 45% (range 25% to 60%). Out of the patients who developed CHF while on treatment with imitanib, 3 patients (6%) had history of cardiac conditions (atrial fibrillation in 1 (2%), congestive heart failure in 2 (4%)). Myocardial infarction was documented in 3 patients (6%), one of which had prior myocardial infarction and pacemaker, another had history of mitral valve prolapse and hypertension; one patient had hypertension, diabetes mellitus and positive family history but no prior history of heart disease. Arrhythmia was seen in 3 patients (6%). Post-treatment EKG changes occurred in 14 patients (27%) including bradycardia, PAC's, PVC's, ST-T wave changes, tachycardia and other rhythm abnormalities. These changes were usually asymptomatic. Gated cardiac study done after a median of 63 months (range 29 to 83 months) after initiation of imatinib treatment showed EF below 60% in 9 patients (18%) with a median of 55% (range 36% to 59%). None of the patients died of cardiac conditions and none discontinued imatinib therapy because of cardiac events. Conclusion: Although cardiac events occur in some patients treated with imatinib, these are much more common among patients with pre-existing cardiac conditions and/or cardiac risk factors. These patients need to be monitored closely to minimize their risk and intervene early when new cardiac events arise. Disclosures: Cortes: novartis: Research Funding; BMS: Research Funding; Pfizer: Consultancy, Research Funding. Kantarjian:novartis: Research Funding; BMS: Research Funding. O'Brien:Novartis: Research Funding.


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