In recent years, wearable devices have seen a booming development, and the integration of wearable devices with clinical settings is an important direction in the development of wearable devices. The purpose of this study is to establish a prediction model for postoperative pulmonary complications (PPCs) by continuously monitoring respiratory physiological parameters of cardiac valve surgery patients during the preoperative 6-Minute Walk Test (6MWT) with a wearable device. By enrolling 53 patients with cardiac valve diseases in the Department of Cardiovascular Surgery, West China Hospital, Sichuan University, the grouping was based on the presence or absence of PPCs in the postoperative period. The 6MWT continuous respiratory physiological parameters collected by the SensEcho wearable device were analyzed, and the group differences in respiratory parameters and oxygen saturation parameters were calculated, and a prediction model was constructed. The results showed that continuous monitoring of respiratory physiological parameters in 6MWT using a wearable device had a better predictive trend for PPCs in cardiac valve surgery patients, providing a novel reference model for integrating wearable devices with the clinic.
Humans ; Lung ; Walking/physiology* ; Walk Test ; Heart Valves/surgery* ; Postoperative Period ; Postoperative Complications/etiology*

Humans ; Warfarin/therapeutic use* ; Cytochrome P-450 CYP2C9/genetics* ; Anticoagulants/therapeutic use* ; Genotype ; Heart Valves ; China ; Apolipoproteins E/genetics* ; Dose-Response Relationship, Drug ; Receptors, Calcitriol/genetics*

BACKGROUND: Postoperative pneumonia (POP) is one of the most common infections following heart valve surgery (HVS) and is associated with a significant increase in morbidity, mortality, and health care costs. This study aimed to identify the major risk factors associated with the occurrence of POP following HVS and to derive and validate a clinical risk score. METHODS: Adults undergoing open HVS between January 2016 and December 2019 at a single institution were enrolled in this study. Patients were randomly assigned to the derivation and validation sets at 1:1 ratio. A prediction model was developed with multivariable logistic regression analysis in the derivation set. Points were assigned to independent risk factors based on their regression coefficients. RESULTS: POP occurred in 316 of the 3853 patients (8.2%). Multivariable analysis identified ten significant predictors for POP in the derivation set, including older age, smoking history, chronic obstructive pulmonary disease, diabetes mellitus, renal insufficiency, poor cardiac function, heart surgery history, longer cardiopulmonary bypass, blood transfusion, and concomitant coronary and/or aortic surgery. A 22-point risk score based on the multivariable model was then generated, demonstrating good discrimination (C-statistic: 0.81), and calibration (Hosmer-Lemeshow χ2 = 8.234, P = 0.312). The prediction rule also showed adequate discriminative power (C-statistic: 0.83) and calibration (Hosmer-Lemeshow χ2 = 5.606, P = 0.691) in the validation set. Three risk intervals were defined as low-, medium-, and high-risk groups. CONCLUSION: We derived and validated a 22-point risk score for POP following HVS, which may be useful in preventive interventions and risk management. TRIAL REGISTRATION Chictr.org, ChiCTR1900028127; http://www.chictr.org.cn/showproj.aspx?proj=46932.
Adult ; Aged ; Cardiac Surgical Procedures/adverse effects* ; Cardiopulmonary Bypass ; Heart Valves ; Humans ; Pneumonia ; Risk Factors

Aortic Valve ; Aortic Valve Stenosis/surgery* ; Cardiac Catheterization ; Echocardiography ; Echocardiography, Transesophageal ; Heart Valve Prosthesis ; Heart Valve Prosthesis Implantation ; Heart Valves ; Humans ; Transcatheter Aortic Valve Replacement ; Treatment Outcome

The aim of this study was to evaluate the fatigue property
Heart Valve Prosthesis ; Heart Valves ; Materials Testing ; Prosthesis Design ; Stents

Anticoagulation drugs should be used for patients with mechanical heart valve (MHV) in case of potential risk of thrombosis. Pregnant women with MHV have to change therapies due to teratogenic effect of some anti-coagulation drugs. European Society of Cardiology clinical guidelines for the management of cardiovascular diseases during pregnancy gives specific suggestions for anticoagulation therapy.We have treated 2 patients with mechanical heart valve thrombosis (MVT) during pregnancy: One received low molecular weight heparin (LMWH) throughout the pregnancy and developed MVT at the third trimester of pregnancy; one developed MVT at the first trimester when replacing vitamin K antagonists (VKA) with LMWH. These patients raised secondary reflection on the balance between clinical guideline and personalized medicine. During LMWH therapy, we should dynamically monitor patients' anti-activated factor X (anti-Xa) level to evaluate coagulation function during pregnancy. When a pregnant woman with MHV develops symptoms of acute heart failure, stuck mechanical valve should be paid attention to and surgery should be promptly performed if necessary.
Anticoagulants/adverse effects* ; Female ; Heart Valve Prosthesis/adverse effects* ; Heart Valves ; Heparin, Low-Molecular-Weight/adverse effects* ; Humans ; Pregnancy ; Pregnancy Complications, Cardiovascular/drug therapy* ; Thrombosis/drug therapy*

Objective: To evaluate the efficacy and safety of different bridging anticoagulant therapies in patients undergoing mechanical heart valve replacement (MHVR) surgery. Methods: Consecutive patients undergoing MHVR surgery from January 2018 to December 2018 in First Hospital of Lanzhou University were prospectively enrolled in this study. Patients were divided into unfractionated heparin (UFH) group and low molecular weight heparin (LMWH) group according to the postoperative bridging anticoagulation methods. Preoperative clinical data and postoperative related time and cost parameters, including drainage time, duration of stay in intensive care unit (ICU), postoperative time (interval from end of operation to discharge) and INR stabilization time (interval from start of bridge anticoagulation to INR value reaching the standard for 2 consecutive days) of all enrolled patients were collected, and all patients were followed up for 4 weeks and thromboembolic or bleeding events were analyzed. Multivariate logistic regression was used to determine the independent prognostic factors of thromboembolic or bleeding events after MHVR receiving various bridging anticoagulant therapies. Results: A total of 217 patients were included in the study, including 120 patients in the UFH group and 97 patients in the LMWH group. Stroke occurred in two patients in the UFH group, while no stroke event occurred in the LMWH group. The incidence of bleeding events was significantly higher (9.28%(9/97) vs. 1.67%(2/120), P=0.02), while the drainage time, duration of stay in ICU, postoperative time, INR stabilization time were all significantly shorter in LMWH group than in UFH group (all P<0.05). Multivariate logistic regression analysis showed that bridging anticoagulation therapies (OR=0.18, 95%CI 0.04-0.86, P=0.03), fibrinogen level (OR=1.99, 95%CI 1.16-3.41, P=0.01) and creatinine level (OR=1.05, 95%CI 1.01-1.08, P=0.04) were independent prognostic factors for bleeding events. Conclusion: LMWH use is associated with increased risk of bleeding events, but can significantly reduce the drainage time, duration of stay in ICU, postoperative time, INR stabilization time in patients post MHVR surgery.
Anticoagulants/therapeutic use* ; Heart Valves ; Heparin ; Heparin, Low-Molecular-Weight ; Humans ; Thromboembolism/drug therapy*

BACKGROUND: Scarce data have been reported on the efficacy of concomitant atrial fibrillation (AF) ablation in patients undergoing bioprosthetic valve replacement. METHODS: From 2001 and 2014, 146 consecutive patients (69.3±9.4 years, 84 females) who underwent bioprosthetic heart valve replacement concomitant with AF ablation were assessed. We evaluated long-term rhythm and valve-related outcomes. RESULTS: During 49.1 months of follow-up (interquartile range, 22.5–96.8 months), 7 in-hospital and 49 (6.7% per person-year) post-discharge deaths occurred. The thromboembolic event-free survival rate at 5 years was 79.2%±3.5%. The freedom from AF recurrence rate at 5 years was 59.8%±4.9%. Multivariate analysis showed that old age (hazard ratio [HR], 1.06; 95% confidence interval [CI], 1.02–1.11; p=0.002), previous cardiac operation (HR, 3.01; 95% CI, 1.22–7.43; p=0.02), and a large left atrial (LA) dimension (HR, 1.02; 95% CI, 1.00–1.05; p=0.045) were significantly associated with AF recurrence. CONCLUSION: The overall long-term clinical outcomes in these predominantly elderly patients undergoing AF ablation concomitantly with bioprosthetic valve replacement were satisfactory; however, AF recurrence was frequent. Older age, a history of prior cardiac surgery, and large LA size were associated with an increased risk of AF recurrence.
Aged ; Anticoagulants ; Atrial Fibrillation ; Bioprosthesis ; Disease-Free Survival ; Follow-Up Studies ; Freedom ; Heart Valves ; Humans ; Multivariate Analysis ; Recurrence ; Thoracic Surgery

BACKGROUND AND OBJECTIVES: Decreased left atrial appendage (LAA) emptying velocity in transesophageal echocardiography (TEE) is related with higher incidence of thrombus and increased risk of stroke. Patients with valve disease are at higher risk of thrombus formation before and after surgery. The aim of this study was to investigate the role of 4-dimensional cardiac computed tomography (4DCT) to predict the risk of thrombus formation. METHODS: Between March 2010 to March 2015, total of 62 patients (mean 60±15 years old, male: 53.2%) who underwent 4DCT and TEE for cardiac valve evaluation before surgery were retrospectively included in the current study. Fractional area change in TEE view and emptying velocity at left atrial appendage in TEE view (VeTEE) were measured. Ejection fraction (EF) of left atrial appendage in computed tomography (EFCT) was calculated by 4DCT with full volume analysis. The best cut-off value of EFCT predicting presence of spontaneous echo contrast (SEC) or thrombus was evaluated, and correlation between the parameters were also estimated. RESULTS: SEC or thrombus was observed in 45.2%. EFCT and VeTEE were significantly correlated (r=0.452, p < 0.001). However, fractional area change measured by TEE showed no correlation with VeTEE (r=0.085, p=0.512). EFCT < 37.5% best predicted SEC or thrombus in the patients with valve disease who underwent 4DCT and TEE (area under the curve, 0.654; p=0.038). CONCLUSIONS: In the patients who underwent 4DCT for cardiac valve evaluation before surgery, EFCT by volume analysis might have additional role to evaluate LAA function and estimate the risk of thrombus.
Atrial Appendage ; Echocardiography, Transesophageal ; Four-Dimensional Computed Tomography ; Heart Valve Diseases ; Heart Valves ; Humans ; Incidence ; Male ; Retrospective Studies ; Stroke ; Thrombosis

PURPOSE: It is widely accepted that addressing multiple symptoms together is the preferred approach in assessment and intervention and results in reduced negative patient outcomes. Yet, there are few studies examining symptom clusters and their impacts on quality of life longitudinally in patients after heart valve surgery.METHODS: A total of 101 patients were recruited from a tertiary hospital and were administered questionnaires (at 3, 6, and 10 weeks after the surgery) assessing participants' characteristics, cardiac symptoms, and quality of life. Factor analysis was used to identify symptom clusters. Hierarchical multiple linear regression was used to predict quality of life.RESULTS: Participants were predominantly 70-years old or more with a mean age of 64.34. The two symptom clusters at 3 weeks after the surgery with education, gender, and occupation accounted for 76.3% of variance in quality of life.CONCLUSION: Symptom clusters containing various physical and psychological symptoms in patients after the surgery affected quality of life, and the relationship was significant at 3 weeks after the surgery. Because symptom clusters were identified in all three recovery periods, nurses need to acknowledge these clusters, rather than each symptom separately, and to utilize these in providing care and education and in promoting quality of life in these patients.
Education ; Heart Valves ; Heart ; Humans ; Linear Models ; Occupations ; Postoperative Period ; Quality of Life ; Tertiary Care Centers