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Kong S, Yu S, He W, He Y, Chen W, Zhang Y, Dai Y, Li H, Zhan Y, Zheng J, Yang X, He P, Duan C, Tan N, Liu Y. Serum Albumin-to-Creatinine Ratio: A Novel Predictor of Pulmonary Infection in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention. J Atheroscler Thromb 2024; 31:1680-1691. [PMID: 38763733 PMCID: PMC11620831 DOI: 10.5551/jat.64717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 04/02/2024] [Indexed: 05/21/2024] Open
Abstract
AIM In patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), a low serum albumin-to-creatinine ratio (sACR) is associated with elevated risk of poor short- and long-term outcomes. However, the relationship between sACR and pulmonary infection during hospitalization in patients with STEMI undergoing PCI remains unclear. METHODS A total of 4,507 patients with STEMI undergoing PCI were enrolled and divided into three groups according to sACR tertile. The primary outcome was pulmonary infection during hospitalization, and the secondary outcome was in-hospital major adverse cardiovascular events (MACE) including stroke, in-hospital mortality, target vessel revascularization, recurrent myocardial infarction, and all-cause mortality during follow-up. RESULTS Overall, 522 (11.6%) patients developed pulmonary infections, and 223 (4.9%) patients developed in-hospital MACE. Cubic spline models indicated a non-linear, L-shaped relationship between sACR and pulmonary infection (P=0.039). Receiver operating characteristic curve analysis indicated that sACR had good predictive value for both pulmonary infection (area under the ROC curve [AUC]=0.73, 95% CI=0.70-0.75, P<0.001) and in-hospital MACE (AUC=0.72, 95% CI=0.69-0.76, P<0.001). Kaplan-Meier survival analysis indicated that higher sACR tertiles were associated with a greater cumulative survival rate (P<0.001). Cox regression analysis identified lower sACR as an independent predictor of long-term all-cause mortality (hazard ratio [HR]=0.96, 95% CI=0.95-0.98, P<0.001). CONCLUSIONS A low sACR was significantly associated with elevated risk of pulmonary infection and MACE during hospitalization, as well as all-cause mortality during follow-up among patients with STEMI undergoing PCI. These findings highlighted sACR as an important prognostic marker in this patient population.
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Affiliation(s)
- Siyu Kong
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shijie Yu
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Weibin He
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu He
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Weikun Chen
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yeshen Zhang
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yining Dai
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hailing Li
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yuling Zhan
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jiyang Zheng
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xuxi Yang
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Pengcheng He
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ning Tan
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yuanhui Liu
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Xie E, Li Q, Ye Z, Guo Z, Li Y, Shen N, Yu C, Gao Y, Zheng J. Canada acute coronary syndrome risk score predicts no-/slow-reflow in ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention. Heliyon 2023; 9:e21276. [PMID: 37920501 PMCID: PMC10618787 DOI: 10.1016/j.heliyon.2023.e21276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023] Open
Abstract
Background The no-/slow-reflow phenomenon following primary percutaneous coronary intervention (PCI) in patients with ST-elevation myocardial infarction (STEMI)is associated with poor prognosis. The early identification of high-risk patients with no-/slow-reflow is critical. This study aimed to evaluate the predictive ability of the Canada Acute Coronary Syndrome (C-ACS) risk score for no-/slow-reflow in these patients. Methods Patients with STEMI who underwent primary PCI were consecutively enrolled and divided into three groups based on their C-ACS scores: 0, 1, and ≥2. The C-ACS score was computed using the four clinical variables evaluated at admission (one point for each): age ≥75 years, heart rate >100 beats/min, systolic blood pressure <100 mmHg, and Killip class >1. No-/slow-reflow was defined as thrombolysis in a myocardial infarction flow grade of 0-2 after primary PCI. The predictive ability of the C-ACS score for no-/slow-reflow was evaluated using a receiver operating characteristic curve. Results A total of 834 patients were enrolled, of whom 109 (13.1 %) developed no-/slow-reflow. The incidence of no-/slow-reflow increased from the C-ACS 0 group to the C-ACS ≥2 group (6.1 % vs 17.7 % vs 34.3 %, respectively, p < 0.001). After multivariable adjustment, the C-ACS score was an independent predictor of no-/slow-reflow (odd ratio 2.623, 95 % confidence interval 1.948-3.532, p < 0.001). Furthermore, the C-ACS score showed good discrimination for no-/slow-reflow (area under the curve 0.707, 95 % confidence interval 0.653-0.762, p < 0.001). Further subgroup analyses indicated a significant interaction between the C-ACS score and patient sex (p for interaction = 0.011). The independent association between the C-ACS score and no-/slow-reflow was only observed in male patients (odd ratio 3.061, 95 % confidence interval 1.931-4.852, p < 0.001). During a median follow-up duration of 4.3 years, the C-ACS score was independently associated with major adverse cardiovascular events independent of the occurrence of no-/slow-reflow (p for interaction = 0.212). Conclusion The C-ACS risk score could independently predict the no-/slow-reflow in patients with STEMI undergoing primary PCI, particularly in male patients.
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Affiliation(s)
- Enmin Xie
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
| | - Qing Li
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Zixiang Ye
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Ziyu Guo
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Yike Li
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
| | - Nan Shen
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
| | - Changan Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jingang Zheng
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, 100029, China
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Lin Z, Liang X, Zhang Y, Dai Y, Zeng L, Chen W, Kong S, He P, Duan C, Liu Y. Positive association between stress hyperglycemia ratio and pulmonary infection in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2023; 22:76. [PMID: 37004002 PMCID: PMC10067314 DOI: 10.1186/s12933-023-01799-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Previous studies have shown that the stress hyperglycemia ratio (SHR), a parameter of relative stress-induced hyperglycemia, is an excellent predictive factor for all-cause mortality and major adverse cardiovascular events (MACEs) among patients with ST-segment elevation myocardial infarction (STEMI). However, its association with pulmonary infection in patients with STEMI during hospitalization remains unclear. METHODS Patients with STEMI undergoing percutaneous coronary intervention (PCI) were consecutively enrolled from 2010 to 2020. The primary endpoint was the occurrence of pulmonary infection during hospitalization, and the secondary endpoint was in-hospital MACEs, composed of all-cause mortality, stroke, target vessel revascularization, or recurrent myocardial infarction. RESULTS A total of 2,841 patients were finally included, with 323 (11.4%) developing pulmonary infection and 165 (5.8%) developing in-hospital MACEs. The patients were divided into three groups according to SHR tertiles. A higher SHR was associated with a higher rate of pulmonary infection during hospitalization (8.1%, 9.9%, and 18.0%, P < 0.001) and in-hospital MACEs (3.7%, 5.1%, and 8.6%, P < 0.001). Multivariate logistic regression analysis demonstrated that SHR was significantly associated with the risk of pulmonary infection during hospitalization (odds ratio [OR] = 1.46, 95% confidence interval [CI] 1.06-2.02, P = 0.021) and in-hospital MACEs (OR = 1.67, 95% CI 1.17-2.39, P = 0.005) after adjusting for potential confounding factors. The cubic spline models demonstrated no significant non-linear relationship between SHR and pulmonary infection (P = 0.210) and MACEs (P = 0.743). In receiver operating characteristic curve, the best cutoff value of SHR for pulmonary infection was 1.073. CONCLUSIONS The SHR is independently associated with the risk of pulmonary infection during hospitalization and in-hospital MACEs for patients with STEMI undergoing PCI.
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Affiliation(s)
- Zehuo Lin
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Shantou University Medical College, Shantou, China
| | - Xueqing Liang
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yeshen Zhang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yining Dai
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Lin Zeng
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Weikun Chen
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Siyu Kong
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Pengcheng He
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Department of Cardiology, Heyuan People's Hospital, Heyuan, China.
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
| | - Yuanhui Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
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Liu Y, Wang L, Chen P, Dai Y, Lin Y, Chen W, Xu Z, Zeng L, Fan H, Xue L, Liu S, Chen J, Tan N, He P, Duan C. Risk Estimation for Infection in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention: Development and Validation of a Predictive Score. Front Cardiovasc Med 2022; 9:845307. [PMID: 35497986 PMCID: PMC9051071 DOI: 10.3389/fcvm.2022.845307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/16/2022] [Indexed: 11/29/2022] Open
Abstract
Background Infection during hospitalization is a serious complication among patients who suffered from acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI); however, there are no suitable and accurate means to assess risk. This study aimed to develop and validate a simple scoring system to predict post-AMI infection in such patients. Methods All patients with ST-segment elevation myocardial infarction (STEMI) undergoing PCI consecutively enrolled from January 2010 to May 2016 were served as derivation cohort, and those from June 2016 to May 2018 as validation cohort, respectively. The primary endpoint was post-AMI infection during hospitalization, and all-cause death and major adverse cardiovascular events (MACE) were considered as secondary endpoints. The simplified risk model was established using logistic regression. The area under the receiver operating curve and calibration of predicted and observed infection risk were calculated. Results A 24-point risk score was developed, with infection risk ranging from 0.7 to 99.6% for patients with the lowest and highest score. Seven variables including age, Killip classification, insulin use, white blood cell count, serum albumin, diuretic use, and transfemoral approach were included. This model achieved the same high discrimination in the development and validation cohort (C-statistic:0.851) and revealed adequate calibration in both datasets. The incidences of post-AMI infection increased steadily across risk score groups in both development (1.3, 5.1, 26.3, and 69.1%; P < 0.001) and validation (1.8, 5.9, 27.2, and 79.2%; P < 0.001) cohort. Moreover, the risk score demonstrated good performance for infection, in-hospital all-cause death, and MACE among these patients, as well as in patients with the non-ST-elevation acute coronary syndrome. Conclusion This present risk score established a simple bedside tool to estimate the risk of developing infection and other in-hospital outcomes in patients with STEMI undergoing PCI. Clinicians can use this risk score to evaluate the infection risk and subsequently make evidence-based decisions.
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Affiliation(s)
- Yuanhui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Litao Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pengyuan Chen
- Department of Cardiology, The Second People’s Hospital of Nanhai District, Guangdong General Hospital’s Nanhai Hospital, Foshan, China
| | - Yining Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yaowang Lin
- Department of Cardiology, Second Clinical Medical College of Jinan University, Shenzhen People’s Hospital, First Affiliated Hospital of South University of Science and Technology, Shenzhen, China
| | - Wei Chen
- Clinical College of Fujian Provincial Hospital, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Medical University, Fujian Cardiovascular Institute, Fuzhou, China
| | - Zhengrong Xu
- Department of Cardiology, People’s Hospital of Baoan Shenzhen, Shenzhen, China
| | - Lihuan Zeng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hualin Fan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ling Xue
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Simin Liu
- Center for Global Cardiometabolic Health, Department of Epidemiology, Medicine, and Surgery, Brown University, Providence, RI, United States
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- *Correspondence: Ning Tan,
| | - Pengcheng He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Pengcheng He,
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
- Chongyang Duan,
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Wang Y, Yang L, Mao L, Zhang L, Zhu Y, Xu Y, Cheng Y, Sun R, Zhang Y, Ke J, Zhao D. SGLT2 inhibition restrains thyroid cancer growth via G1/S phase transition arrest and apoptosis mediated by DNA damage response signaling pathways. Cancer Cell Int 2022; 22:74. [PMID: 35148777 PMCID: PMC8840070 DOI: 10.1186/s12935-022-02496-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 01/30/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Although the prognosis for most patients with papillary thyroid cancer (PTC) is good, the present treatment is ineffective for 5-10% patients. Several studies found sodium-glucose cotransporter 2 (SGLT2) inhibitors may inhibit the growth of tumors. However, whether SGLT2 inhibitors have therapeutic effect on thyroid cancer remains unclear. MATERIALS AND METHODS The levels of SGLT2 in PTC and normal thyroid tissue were assessed by immunohistochemistry and clinical dataset analysis. Cell growth was detected by the CCK-8 and colony formation. Glucose uptake into thyroid cancer cell was evaluated by 2-DG uptake assay. Glycolysis were analyzed by Seahorse XF Extracellular Flux Analysis. RNA-seq were used to screen differentially expressed genes of cells treated with/without canagliflozin (a SGLT2 inhibitor). Furthermore, flow cytometry, western blot, and gene set enrichment analysis were employed to elucidate cell cycle, apoptosis and the underlying mechanism of the anticancer effect of canagliflozin. The effect of canagliflozin on thyroid cancer growth was further confirmed in vivo through xenograft formation assay. RESULTS SGLT2 inhibition attenuated the growth of thyroid cancer cells in vitro and in vivo. Canagliflozin inhibited glucose uptake, glycolysis and AKT/mTOR signaling activation, and increased AMPK activation in thyroid cancer cell. Furthermore, canagliflozin inhibited G1/S phase transition and cyclin D1, cyclin D3, cyclin E1, cyclin E2, and E2F1 expression levels in thyroid cancer cell. In addition, canagliflozin increased apoptosis of thyroid cancer cell. Further investigation revealed that canagliflozin could increase γ-H2AX expression levels and DNA damage response signaling ATM/CHK2 activation. In thyroid cancer patients, SGLT2 was increased in thyroid cancer and positively related to cyclin D3. CONCLUSIONS SGLT2 inhibition may limit glucose uptake resulting in energetic crisis, following oxidative stress mediated DNA damage and cell cycle arrest, which resulted to the increased cell apoptosis and decreased proliferation of thyroid cancer cells, suggesting a potential use for SGLT2 inhibitors as thyroid cancer therapeutics.
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Affiliation(s)
- Yan Wang
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Longyan Yang
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Lin Mao
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Lijie Zhang
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Yingjun Zhu
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Yongsong Xu
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Yanan Cheng
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Rongxin Sun
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Yuanyuan Zhang
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China
| | - Jing Ke
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China. .,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China.
| | - Dong Zhao
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China. .,Beijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China.
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Procalcitonin Predicts Bacterial Infection, but Not Long-Term Occurrence of Adverse Events in Patients with Acute Coronary Syndrome. J Clin Med 2022; 11:jcm11030554. [PMID: 35160005 PMCID: PMC8836946 DOI: 10.3390/jcm11030554] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/12/2022] [Accepted: 01/19/2022] [Indexed: 11/17/2022] Open
Abstract
This study compiles data to determine if procalcitonin (PCT) values may predict both the risk of bacterial infection and potentially negative long-term outcomes in patients with acute coronary syndromes (ACS). All patients with a diagnosis of ACS that had PCT levels assessed during the first 24 h of hospitalization were enrolled in this study. The primary outcome was to detect the presence of bacterial infection defined as the occurrence of fever and at least one positive blood or urinary culture with clinical signs of infection. The secondary outcome was to monitor the occurrence after 1 year of the composite outcome of all-cause mortality, stroke and myocardial infarction. Overall, 569 patients were enrolled (mean age 69.37 ± 14 years, 30% females). Of these, 44 (8%) met the criteria for bacterial infection. After multivariate analysis, PCT and SBP were found to be independent predictors of bacterial infections (OR for PCT above the cut-off 2.67, 95% CI 1.09-6.53, p = 0.032 and OR for SBP 0.98, 95% CI 0.97-0.99, p = 0.043). After 1 year, the composite outcome of all-cause death, MI and stroke occurred in 104 patients (18%). PCT was not found to be an independent predictor of these outcomes. In conclusion, when assessing ACS, we found that testing for PCT levels during hospital admissions procedures was a good predictor of bacterial infections but not of all-cause mortality, stroke, or myocardial infarction. Clinicaltrial.org identifier: NCT02438085.
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Seko Y, Kato T, Morimoto T, Yaku H, Inuzuka Y, Tamaki Y, Ozasa N, Shiba M, Yamamoto E, Yoshikawa Y, Yamashita Y, Kitai T, Taniguchi R, Iguchi M, Nagao K, Jinnai T, Komasa A, Nishikawa R, Kawase Y, Morinaga T, Toyofuku M, Furukawa Y, Ando K, Kadota K, Sato Y, Kuwahara K, Kimura T. Newly Diagnosed Infection After Admission for Acute Heart Failure: From the KCHF Registry. J Am Heart Assoc 2021; 10:e023256. [PMID: 34730004 PMCID: PMC8751959 DOI: 10.1161/jaha.121.023256] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Background No studies have explored the association between newly diagnosed infections after admission and clinical outcomes in patients with acute heart failure. We aimed to explore the factors associated with newly diagnosed infection after admission for acute heart failure, and its association with in‐hospital and post‐discharge clinical outcomes. Methods and Results Among 4056 patients enrolled in the Kyoto Congestive Heart Failure registry, 2399 patients without any obvious infectious disease upon admission were analyzed. The major in‐hospital and post‐discharge outcome measures were all‐cause deaths. There were 215 patients (9.0%) with newly diagnosed infections during hospitalization, and 2184 patients (91.0%) without infection during hospitalization. The factors independently associated with a newly diagnosed infection were age ≥80 years, acute coronary syndrome, non‐ambulatory status, hyponatremia, anemia, intubation, and patients who were not on loop diuretics as outpatients. The newly diagnosed infection group was associated with a higher incidence of in‐hospital mortality (16.3% and 3.2%, P<0.001) and excess adjusted risk of in‐hospital mortality (odds ratio, 6.07 [95% CI, 3.61–10.19], P<0.001) compared with the non‐infection group. The newly diagnosed infection group was also associated with a higher 1‐year incidence of post‐discharge mortality (19.3% in the newly diagnosed infection group and 13.6% in the non‐infection group, P<0.001) and excess adjusted risk of post‐discharge mortality (hazard ratio, 1.49 [95% CI, 1.08–2.07], P=0.02) compared with the non‐infection group. Conclusions Elderly patients with multiple comorbidities were associated with the development of newly diagnosed infections after admission for acute heart failure. Newly diagnosed infections after admission were associated with higher in‐hospital and post‐discharge mortality in patients with acute heart failure. Registration URL: https://clinicaltrials.gov; Unique identifier: NCT02334891.
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Affiliation(s)
- Yuta Seko
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Takao Kato
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Takeshi Morimoto
- Clinical Epidemiology Hyogo College of Medicine Nishinomiya Japan
| | - Hidenori Yaku
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | | | - Yodo Tamaki
- Division of Cardiology Tenri Hospital Tenri Japan
| | - Neiko Ozasa
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Masayuki Shiba
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Erika Yamamoto
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Yusuke Yoshikawa
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Yugo Yamashita
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Takeshi Kitai
- Department of Cardiovascular Medicine National Cerebral and Cardiovascular Center Suita Japan
| | - Ryoji Taniguchi
- Department of Cardiology Hyogo Prefectural Amagasaki General Medical Center Amagasaki Japan
| | - Moritake Iguchi
- Department of Cardiology National Hospital Organization Kyoto Medical Center Kyoto Japan
| | - Kazuya Nagao
- Department of Cardiology Osaka Red Cross Hospital Osaka Japan
| | - Toshikazu Jinnai
- Department of Cardiology Japanese Red Cross Otsu Hospital Otsu Japan
| | - Akihiro Komasa
- Department of Cardiology Kansai Electric Power Hospital Osaka Japan
| | | | - Yuichi Kawase
- Department of Cardiology Kurashiki Central Hospital Kurashiki Japan
| | - Takashi Morinaga
- Department of Cardiology Kokura Memorial Hospital Kitakyushu Japan
| | - Mamoru Toyofuku
- Department of Cardiology Japanese Red Cross Wakayama Medical Center Wakayama Japan
| | - Yutaka Furukawa
- Department of Cardiovascular Medicine Kobe City Medical Center General Hospital Kobe Japan
| | - Kenji Ando
- Department of Cardiology Kokura Memorial Hospital Kitakyushu Japan
| | - Kazushige Kadota
- Department of Cardiology Kurashiki Central Hospital Kurashiki Japan
| | - Yukihito Sato
- Department of Cardiology Hyogo Prefectural Amagasaki General Medical Center Amagasaki Japan
| | - Koichiro Kuwahara
- Department of Cardiovascular Medicine Shinshu University Graduate School of Medicine Matsumoto Japan
| | - Takeshi Kimura
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
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8
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Kong F, Xiang L, Wu Y, Tong G. Evaluation of the Prognostic Role of the Wall Motion Score Index and the SYNTAX Score II in Patients with Acute Coronary Syndrome Following Percutaneous Coronary Intervention by Evaluation of Major Adverse Cardiovascular Events at 12-Month Follow-Up. Med Sci Monit 2021; 27:e932652. [PMID: 34741003 PMCID: PMC8579602 DOI: 10.12659/msm.932652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background This study aimed to evaluate the wall motion score (WMS) index and the SYNTAX score II (SSII) in patients with acute coronary syndrome (ACS) following percutaneous coronary intervention (PCI) by evaluation of major adverse cardiovascular events (MACEs) at the 12-month follow-up at a single center. Material/Methods An observational study of 430 patients with ACS undergoing PCI at the Second Affiliated Hospital of Soochow University over a 1-year period was performed. Baseline data including WMS and SSII were recorded and compared with the rates of MACEs in the study group. WMS and SSII were stratified by the tercile from low to high. Results Both WMS and SSII were associated with the rates of MACEs (P<0.001 and P=0.003, respectively). The incidence of MACEs was positively correlated with terciles of the WMS and SSII groups (3.7% vs 1.6% vs 7.0% [P<0.001] and 2.6% vs 5.8% vs 11.6% [P<0.001], lowest to highest, respectively). Logistic regression analyses identified combined predictors for 12-month outcome, including WMS and SSII. The use of a model combining both scores yielded a higher predictive value (area under the curve [AUC]=0.78; 95% confidence interval [CI], 0.733–0.835; P<0.001) than the use of either score alone. Using WMSs alone, the AUC was 0.73 (95% CI, 0.660–0.793; P<0.001). Using SSII alone, the AUC was 0.71 (95% CI, 0.649–0.769; P<0.001). Conclusions This study showed that the combined methods of the WMS index and the SSII were predictive factors of MACEs in patients with ACS following PCI at the 12-month follow-up.
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Affiliation(s)
- Fanyang Kong
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland)
| | - Li Xiang
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland)
| | - Yanni Wu
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland)
| | - Guangming Tong
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland)
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9
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Lian XJ, Dai YN, Xue JH, Zeng LH, Wang LT, Xue L, Chen JY, Tan N, He PC, Liu YH, Duan CY. Ticagrelor and the risk of infections during hospitalization in patients with ST-elevation myocardial infarction undergoing percutaneous coronary intervention. Atherosclerosis 2021; 331:6-11. [PMID: 34252837 DOI: 10.1016/j.atherosclerosis.2021.06.924] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 06/19/2021] [Accepted: 06/30/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS Although ticagrelor exerts an antibacterial activity, its effect on infections in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) is unclear. We aimed to assess whether ticagrelor and clopidogrel affect infections in these patients during hospitalization. METHODS A total of 2116 consecutive patients with STEMI undergoing PCI were divided into the ticagrelor (n = 388) and clopidogrel (n = 1728) groups. The primary outcome was infection onset. Secondary outcomes were in-hospital all-cause death and major adverse cardiovascular and cerebrovascular events (MACCE). Propensity score analyses were conducted to test the robustness of the results. RESULTS Infections developed in 327 (15.4%) patients. There was no significant difference in infection between both groups (ticagrelor vs. clopidogrel: 13.1% vs. 16.0%, p = 0.164). Patients in the ticagrelor group had lower rates of in-hospital all-cause death and MACCE than patients in the clopidogrel group. Multivariate logistic regression analysis determined that ticagrelor and clopidogrel had a similar preventive effect on infections during hospitalization (adjusted odds ratio [OR] = 1.20; 95% confidence interval [CI] = 0.80-1.78, p = 0.380). Compared to the patients treated with clopidogrel, patients treated with ticagrelor had a slightly lower risk of other outcomes, but no statistical difference. Propensity score analyses demonstrated similar results for infections and other outcomes. CONCLUSIONS Compared with clopidogrel treatment, ticagrelor treatment did not significantly alter the risk of infections during hospitalization among STEMI patients undergoing PCI, but was associated with a slightly lower risk of in-hospital all-cause death and MACCE.
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Affiliation(s)
- Xing-Ji Lian
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Yi-Ning Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Hua Xue
- Department of Physiology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Li-Huan Zeng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Li-Tao Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ling Xue
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ji-Yan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Peng-Cheng He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
| | - Yuan-Hui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
| | - Chong-Yang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
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10
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Liu Y, Wang L, Lin Y, Chen W, Xu Z, Chen P, Dai Y, Zeng L, Fan H, Xue L, Chen J, Tan N, Duan C, He P. Development and Validation of a Risk Score for Predicting Post-acute Myocardial Infarction Infection in Patients Undergoing Percutaneous Coronary Intervention: Study Protocol for an Observational Study. Front Cardiovasc Med 2021; 8:675142. [PMID: 34124203 PMCID: PMC8193038 DOI: 10.3389/fcvm.2021.675142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 05/06/2021] [Indexed: 12/23/2022] Open
Abstract
Background: Post-acute myocardial infarction (post-AMI) infection is an infrequent but important and serious complication in patients with ST-segment elevation myocardial infarction (STEMI) treated with percutaneous coronary intervention (PCI). Predicting its occurrence is essential for future prevention. However, little is known about the prediction of post-AMI infection in such patients to date. This study aims to develop and validate a new risk score based on risk factors for early prediction of infection in STEMI patients undergoing PCI. Methods: This prospective, multi-center and observational study assesses the predictive value of risk score for post-AMI infection among a cohort of patients hospitalized due to STEMI. The STEMI patients undergoing PCI enrolled between January 1st 2010 and May 31st 2016 were served as a development cohort while those enrolled from June 1st 2016 to May 31st 2018 were served as validation cohort. The primary endpoint was post-AMI infection during hospitalization, defined as infection requiring antibiotics (reflecting the clinical influence of infection compatible with the necessity for additional treatment), and all-cause death and major adverse cardiovascular events (MACE) including all-cause death, recurrent myocardial infarction, target vessel revascularization, and stroke were considered as secondary endpoints. The risk score model based on risk factors was established using stepwise logistic regression, and will be validated in other centers and external patients with non-ST-elevation acute coronary syndrome (NSTE-ACS). Results: This study will provide evidence on prognostic property, reliability of scoring, comparative performance, and suitability of the novel model for screening purpose in order to be recommended for clinical practice. Discussion: Our study is designed to develop and validate a clinical risk score for predicting infection in participants with STEMI who have undergone PCI. This simple tool may therefore improve evaluation of post-AMI infection and enhance future researches into the best practices to prevent or reduce infection in such patients. Clinical Trial Registration: www.chictr.org.cn, identifier: ChiCTR1900028278.
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Affiliation(s)
- Yuanhui Liu
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Litao Wang
- Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yaowang Lin
- Department of Cardiology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, First Affiliated Hospital of South University of Science and Technology, Shenzhen, China
| | - Wei Chen
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fujian Provincial Center for Geriatrics, Clinical College of Fujian Provincial Hospital, Fujian Provincial Hospital, Fujian Cardiovascular Institute, Fujian Medical University, Fuzhou, China
| | - Zhengrong Xu
- Department of Cardiology, People's Hospital of Baoan Shenzhen, Shenzhen, China
| | - Pengyuan Chen
- Department of Cardiology, The Second People's Hospital of Nanhai District, Guangdong General Hospital's Nanhai Hospital, Foshan, China
| | - Yining Dai
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lihuan Zeng
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hualin Fan
- Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Ling Xue
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiyan Chen
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Ning Tan
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Pengcheng He
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
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11
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Dai Y, Liu Z, Zhan H, Zhang G, Wang P, Zhang S, Chen X, Chen J, He P, Xue L, Guo L, Tan N, Liu Y. Reduced inspiratory muscle strength increases pneumonia in patients with acute myocardial infarction. Ann Phys Rehabil Med 2021; 65:101511. [PMID: 33857656 DOI: 10.1016/j.rehab.2021.101511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 01/26/2021] [Accepted: 01/28/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Inspiratory muscle strength is associated with pneumonia in patients after surgery or those with subacute stroke. However, inspiratory muscle strength in patients with acute myocardial infarction (AMI) has not been studied. OBJECTIVE To evaluate the predictive value of inspiratory muscle strength for pneumonia in patients with AMI. METHODS Patients with AMI were consecutively enrolled from March 2019 to September 2019. Measurements of maximal inspiratory pressure (MIP) were used to estimate inspiratory muscle strength and mostly were taken within 24 hr after culprit-vessel revascularization. Patients were divided into 3 groups by MIP tertile (T1: < 56.1 cm H2O, n = 88; T2: 56.1-84.9 cm H2O, n = 88; T3: > 84.9 cm H2O, n=89). The primary endpoint was in-hospital pneumonia. RESULTS Among 265 enrolled patients, pneumonia developed in 26 (10%). The rates of pneumonia were decreased from MIP T1 to T3 (T1: 17%, T2: 10%, T3: 2%, P = 0.004). In-hospital all-cause mortality and major adverse cardiovascular events (MACEs) did not differ between groups. Multivariate logistic regression confirmed increased MIP associated with reduced risk of pneumonia (odds ratio 0.78, 95% confidence interval 0.65-0.94, P = 0.008). Receiver operating characteristic curve analysis indicated that MIP had good performance for predicting in-hospital pneumonia, with an area under the curve of 0.72 (95% confidence interval 0.64-0.81, P < 0.001). CONCLUSIONS The risk of pneumonia but not in-hospital mortality and MACEs was increased in AMI patients with inspiratory muscle weakness. Future study focused on training inspiratory muscle may be helpful.
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Affiliation(s)
- YiNing Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Zhi Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - HuiMin Zhan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - GuoLin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Ping Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - ShengQing Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - XianYuan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - JiYan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - PengCheng He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - Ling Xue
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Lan Guo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - YuanHui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China.
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12
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Liu Y, Wang L, Chen W, Zeng L, Fan H, Duan C, Dai Y, Chen J, Xue L, He P, Tan N. Validation and Comparison of Six Risk Scores for Infection in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention. Front Cardiovasc Med 2021; 7:621002. [PMID: 33553266 PMCID: PMC7862339 DOI: 10.3389/fcvm.2020.621002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 12/24/2020] [Indexed: 11/13/2022] Open
Abstract
Aims: Very few of the risk scores to predict infection in ST-segment elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention (PCI) have been validated, and reports on their differences. We aimed to validate and compare the discriminatory value of different risk scores for infection. Methods: A total of 2,260 eligible patients with STEMI undergoing PCI from January 2010 to May 2018 were enrolled. Six risk scores were investigated: age, serum creatinine, or glomerular filtration rate, and ejection fraction (ACEF or AGEF) score; Canada Acute Coronary Syndrome (CACS) risk score; CHADS2 score; Global Registry for Acute Coronary Events (GRACE) score; and Mehran score conceived for contrast induced nephropathy. The primary endpoint was infection during hospitalization. Results: Except CHADS2 score (AUC, 0.682; 95%CI, 0.652–0.712), the other risk scores showed good discrimination for predicting infection. All risk scores but CACS risk score (calibration slope, 0.77; 95%CI, 0.18–1.35) showed best calibration for infection. The risks scores also showed good discrimination for in-hospital major adverse clinical events (MACE) (AUC range, 0.700–0.786), except for CHADS2 score. All six risk scores showed best calibration for in-hospital MACE. Subgroup analysis demonstrated similar results. Conclusions: The ACEF, AGEF, CACS, GRACE, and Mehran scores showed a good discrimination and calibration for predicting infection and MACE.
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Affiliation(s)
- Yuanhui Liu
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Litao Wang
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
| | - Wei Chen
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Department of Cardiology, Fujian Provincial Center for Geriatrics, Fujian Cardiovascular Institute, Fujian Provincial Hospital, Provincial Clinical Medicine College of Fujian Medical University, Fuzhou, China
| | - Lihuan Zeng
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hualin Fan
- School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yining Dai
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiyan Chen
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ling Xue
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Pengcheng He
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Ning Tan
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,School of Medicine, Guangdong Provincial People's Hospital, South China University of Technology, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
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13
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Liu Y, Dai Y, Liu Z, Zhan H, Zhu M, Chen X, Zhang S, Zhang G, Xue L, Duan C, Chen J, Guo L, He P, Tan N. The Safety and Efficacy of Inspiratory Muscle Training for Patients With Acute Myocardial Infarction Undergoing Percutaneous Coronary Intervention: Study Protocol for a Randomized Controlled Trial. Front Cardiovasc Med 2021; 7:598054. [PMID: 33511161 PMCID: PMC7835280 DOI: 10.3389/fcvm.2020.598054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 12/03/2020] [Indexed: 12/14/2022] Open
Abstract
Background: Uncommonly high rates of pneumonia in patients with acute myocardial infarction (AMI) undergoing primary percutaneous coronary intervention (PCI) have been observed during recent years. Inspiratory muscle training (IMT) could reduce pneumonia in patients undergoing coronary artery bypass grafting and other cardiac surgeries. The relationship between IMT and AMI is unknown. Here, we describe the feasibility and potential benefit of IMT in patients at high risk for pneumonia with AMI who have undergone primary PCI. Methods: Our study is a prospective, randomized, controlled, single-center clinical trial. A total of 60 participants will be randomized into an IMT group and control group with 30 participants in each group. Participants in the IMT group will undergo training for 15 min per session, twice a day, from 12 to 24 h after primary PCI, until 30 days post-randomization; usual care will be provided for the control group. The primary endpoint is the change in inspiratory muscle strength, the secondary endpoint included feasibility, pneumonia, major adverse cardiovascular events, length of stay, pulmonary function tests measure, and quality of life. Discussion: Our study is designed to evaluate the feasibility of IMT and its effectiveness in improving inspiratory muscle strength in participants with AMI who have undergone primary PCI. Clinical Trial Registration:www.ClinicalTrials.gov, identifier: NCT04491760.
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Affiliation(s)
- YuanHui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - YiNing Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - HuiMin Zhan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Manyu Zhu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - XianYuan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - ShengQing Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - GuoLin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ling Xue
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - ChongYang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - JiYan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lan Guo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - PengCheng He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Dai Y, Liu Y, Tan N, He P. Post myocardial infarction infection: Can we predict it or not? Authors' reply. Eur J Intern Med 2020; 75:105-106. [PMID: 32165112 DOI: 10.1016/j.ejim.2020.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 01/25/2020] [Accepted: 03/03/2020] [Indexed: 10/24/2022]
Affiliation(s)
- YiNing Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - YuanHui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - PengCheng He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China.
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