1
|
Ogino H, Iida O, Akutsu K, Chiba Y, Hayashi H, Ishibashi-Ueda H, Kaji S, Kato M, Komori K, Matsuda H, Minatoya K, Morisaki H, Ohki T, Saiki Y, Shigematsu K, Shiiya N, Shimizu H, Azuma N, Higami H, Ichihashi S, Iwahashi T, Kamiya K, Katsumata T, Kawaharada N, Kinoshita Y, Matsumoto T, Miyamoto S, Morisaki T, Morota T, Nanto K, Nishibe T, Okada K, Orihashi K, Tazaki J, Toma M, Tsukube T, Uchida K, Ueda T, Usui A, Yamanaka K, Yamauchi H, Yoshioka K, Kimura T, Miyata T, Okita Y, Ono M, Ueda Y. JCS/JSCVS/JATS/JSVS 2020 Guideline on Diagnosis and Treatment of Aortic Aneurysm and Aortic Dissection. Circ J 2023; 87:1410-1621. [PMID: 37661428 DOI: 10.1253/circj.cj-22-0794] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Affiliation(s)
- Hitoshi Ogino
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Osamu Iida
- Cardiovascular Center, Kansai Rosai Hospital
| | - Koichi Akutsu
- Cardiovascular Medicine, Nippon Medical School Hospital
| | - Yoshiro Chiba
- Department of Cardiology, Mito Saiseikai General Hospital
| | | | | | - Shuichiro Kaji
- Department of Cardiovascular Medicine, Kansai Electric Power Hospital
| | - Masaaki Kato
- Department of Cardiovascular Surgery, Morinomiya Hospital
| | - Kimihiro Komori
- Division of Vascular and Endovascular Surgery, Department of Surgery, Nagoya University Graduate School of Medicine
| | - Hitoshi Matsuda
- Department of Cardiovascular Surgery, National Cerebral and Cardiovascular Center
| | - Kenji Minatoya
- Department of Cardiovascular Surgery, Graduate School of Medicine, Kyoto University
| | | | - Takao Ohki
- Division of Vascular Surgery, Department of Surgery, The Jikei University School of Medicine
| | - Yoshikatsu Saiki
- Division of Cardiovascular Surgery, Graduate School of Medicine, Tohoku University
| | - Kunihiro Shigematsu
- Department of Vascular Surgery, International University of Health and Welfare Mita Hospital
| | - Norihiko Shiiya
- First Department of Surgery, Hamamatsu University School of Medicine
| | | | - Nobuyoshi Azuma
- Department of Vascular Surgery, Asahikawa Medical University
| | - Hirooki Higami
- Department of Cardiology, Japanese Red Cross Otsu Hospital
| | | | - Toru Iwahashi
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Kentaro Kamiya
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Takahiro Katsumata
- Department of Thoracic and Cardiovascular Surgery, Osaka Medical College
| | - Nobuyoshi Kawaharada
- Department of Cardiovascular Surgery, Sapporo Medical University School of Medicine
| | | | - Takuya Matsumoto
- Department of Vascular Surgery, International University of Health and Welfare
| | | | - Takayuki Morisaki
- Department of General Medicine, IMSUT Hospital, the Institute of Medical Science, the University of Tokyo
| | - Tetsuro Morota
- Department of Cardiovascular Surgery, Nippon Medical School Hospital
| | | | - Toshiya Nishibe
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Kenji Okada
- Department of Surgery, Division of Cardiovascular Surgery, Kobe University Graduate School of Medicine
| | | | - Junichi Tazaki
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University
| | - Masanao Toma
- Department of Cardiology, Hyogo Prefectural Amagasaki General Medical Center
| | - Takuro Tsukube
- Department of Cardiovascular Surgery, Japanese Red Cross Kobe Hospital
| | - Keiji Uchida
- Cardiovascular Center, Yokohama City University Medical Center
| | - Tatsuo Ueda
- Department of Radiology, Nippon Medical School
| | - Akihiko Usui
- Department of Cardiac Surgery, Nagoya University Graduate School of Medicine
| | - Kazuo Yamanaka
- Cardiovascular Center, Nara Prefecture General Medical Center
| | - Haruo Yamauchi
- Department of Cardiac Surgery, The University of Tokyo Hospital
| | | | - Takeshi Kimura
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University
| | | | - Yutaka Okita
- Department of Surgery, Division of Cardiovascular Surgery, Kobe University Graduate School of Medicine
| | - Minoru Ono
- Department of Cardiac Surgery, Graduate School of Medicine, The University of Tokyo
| | | |
Collapse
|
2
|
Yang X, Lu T, Qu Z, Zhang Y, Liu P, Ma Y. Plasma D-dimer level is associated with clinical outcomes in patients with atrial fibrillation related acute ischemic stroke after pneumonia. BMC Neurol 2021; 21:137. [PMID: 33773590 PMCID: PMC8004437 DOI: 10.1186/s12883-021-02168-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 03/23/2021] [Indexed: 12/11/2022] Open
Abstract
Background Pneumonia is related to poor prognosis in acute ischemic stroke (AIS), and its risk might be higher in atrial fibrillation (AF) related AIS with elevated plasma D-dimer. The aim of our study was to investigate the prognostic value of D-dimer for predicting clinical outcome of AF-related AIS with pneumonia. Method AF-related AIS patients with pneumonia were prospectively enrolled. Receiver operating characteristic (ROC) curve was used to determine the optimal D-dimer point for 3-month mortality and death/severe disability. The associations between the D-dimer and 3-month mortality and death/severe disability were assessed by multivariable logistic regression analysis. Results A total of 415 patients were enrolled in this study. ROC curve analysis showed that the optimal cut point of D-dimer for 3-month death/severe disability and mortality were D-dimer≥2.35 mg/l and D-dimer≥3.35 mg/l, respectively. Multivariable logistic regression analysis showed that D-dimer≥2.35 mg/l [adjusted odds ratio (aOR) 5.99, 95% confidence interval (CI): 3.04–11.83, P<0.001], higher NIHISS score (aOR:1.53, 95% CI: 1.38–1.69, P<0.001) and larger infarct volume (aOR 1.01, 95% CI: 1.01–1.02, P<0.001) were associated with increased risk of 3-month death/severe disability), and anticoagulant was associated with decreased risk of death/severe disability (aOR:0.21, 95% CI: 0.09–0.47, P<0.001). Higher NIHISS score (aOR:1.64, 95% CI: 1.38–1.94, P<0.001), older age (aOR 1.08, 95% CI: 1.02–1.14, P = 0.007), D-dimer≥3.35 mg/l (OR 8.49, 95% CI: 4.13–17.84,P<0.001), larger infarct volume (aOR 1.02, 95% CI: 1.00–1.03, P = 0.014), and higher CRUB-65 score (aOR 6.43, 95% CI: 3.10–13.34, P<0.001) were associated with increased risk of 3-month mortality. Conclusions AF-related AIS patients with concurrent high D-dimer and pneumonia increased risk of 3-month mortality and death/severe disability, plasma D-dimer may have predictive value in outcome after AF-related AIS with pneumonia.
Collapse
Affiliation(s)
- Xu Yang
- Department of Neurology, Nanchong Central Hospital; The Second Clinical Medical School, North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
| | - Taoli Lu
- Department of Neurology, Chengdu second people's hospital, Chengdu, 610015, Sichuan, China
| | - Zhanli Qu
- Department of Neurology, Nanchong Central Hospital; The Second Clinical Medical School, North Sichuan Medical College, Nanchong, 637000, Sichuan, China
| | - Yi Zhang
- Department of Neurology, Nanchong Central Hospital; The Second Clinical Medical School, North Sichuan Medical College, Nanchong, 637000, Sichuan, China
| | - Pingping Liu
- Department of Neurology, Nanchong Central Hospital; The Second Clinical Medical School, North Sichuan Medical College, Nanchong, 637000, Sichuan, China
| | - Ying Ma
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China
| |
Collapse
|
3
|
Ye W, Lu W, Tang Y, Chen G, Li X, Ji C, Hou M, Zeng G, Lan X, Wang Y, Deng X, Cai Y, Huang H, Yang L. Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis. Front Med (Lausanne) 2020; 7:570614. [PMID: 33282887 PMCID: PMC7690648 DOI: 10.3389/fmed.2020.570614] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 10/13/2020] [Indexed: 12/15/2022] Open
Abstract
Background: COVID-19 has been quickly spreading, making it a serious public health threat. It is important to identify phenotypes to predict the severity of disease and design an individualized treatment. Methods: We collected data from 213 COVID-19 patients in Wuhan Pulmonary Hospital from January 1 to March 30, 2020. Principal component analysis (PCA) and cluster analysis were used to classify patients. Results: We identified three distinct subgroups of COVID-19. Cluster 1 was the largest group (52.6%) and characterized by oldest age, lowest cellular immune function, and albumin levels. 38.5% of subjects were grouped into Cluster 2. Most of the lab results in Cluster 2 fell between those of Clusters 1 and 3. Cluster 3 was the smallest cluster (8.9%), characterized by youngest age and highest cellular immune function. The incidence of respiratory failure, acute respiratory distress syndrome (ARDS), heart failure, and usage of non-invasive mechanical ventilation in Cluster 1 was significantly higher than others (P < 0.05). Cluster 1 had the highest death rate of 30.4% (P = 0.005). Although there were significant differences in age between Clusters 2 and 3 (P < 0.001), we found that there was no difference in demand for medical resources. Conclusions: We identified three distinct clusters of the COVID-19 patients. The results show that age alone could not be used to assess a patient's condition. Specifically, management of albumin, and immune function are important in reducing the severity of disease.
Collapse
Affiliation(s)
- Wenjing Ye
- Department of Respiratory Medicine, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Weiwei Lu
- Department of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanping Tang
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guoxi Chen
- Department of Tuberculosis Ward 2, Wuhan Pulmonary Hospital, Wuhan, China
| | - Xiaopan Li
- Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Chen Ji
- Warwick Clinical Trials Unit, Warwick Medical School, Coventry, United Kingdom
| | - Min Hou
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guangwang Zeng
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xing Lan
- Department of Tuberculosis Ward 2, Wuhan Pulmonary Hospital, Wuhan, China
| | - Yaling Wang
- Department of Tuberculosis Ward 2, Wuhan Pulmonary Hospital, Wuhan, China
| | - Xiaoqin Deng
- Department of Tuberculosis Ward 2, Wuhan Pulmonary Hospital, Wuhan, China
| | - Yuyang Cai
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Huang
- Department of Tuberculosis Ward 2, Wuhan Pulmonary Hospital, Wuhan, China
| | - Ling Yang
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
4
|
Ye W, Chen G, Li X, Lan X, Ji C, Hou M, Zhang D, Zeng G, Wang Y, Xu C, Lu W, Cui R, Cai Y, Huang H, Yang L. Dynamic changes of D-dimer and neutrophil-lymphocyte count ratio as prognostic biomarkers in COVID-19. Respir Res 2020; 21:169. [PMID: 32620118 PMCID: PMC7332531 DOI: 10.1186/s12931-020-01428-7] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 06/18/2020] [Indexed: 12/29/2022] Open
Abstract
Background Since December 2019, the outbreak of COVID-19 caused a large number of hospital admissions in China. Many patients with COVID-19 have symptoms of acute respiratory distress syndrome, even are in danger of death. This is the first study to evaluate dynamic changes of D-Dimer and Neutrophil-Lymphocyte Count Ratio (NLR) as a prognostic utility in patients with COVID-19 for clinical use. Methods In a retrospective study, we collected data from 349 hospitalized patients who diagnosed as the infection of the COVID-19 in Wuhan Pulmonary Hospital. We used ROC curves and Cox regression analysis to explore critical value (optimal cut-off point associated with Youden index) and prognostic role of dynamic changes of D-Dimer and NLR. Results Three hundred forty-nine participants were enrolled in this study and the mortality rate of the patients with laboratory diagnosed COVID-19 was 14.9%. The initial and peak value of D-Dimer and NLR in deceased patients were higher statistically compared with survivors (P < 0.001). There was a more significant upward trend of D-Dimer and NLR during hospitalization in the deceased patients, initial D-Dimer and NLR were lower than the peak tests (MD) -25.23, 95% CI: − 31.81- -18.64, P < 0.001; (MD) -43.73, 95% CI:-59.28- -31.17, P < 0.001. The test showed a stronger correlation between hospitalization days, PCT and peak D-Dimer than initial D-Dimer. The areas under the ROC curves of peak D-Dimer and peak NLR tests were higher than the initial tests (0.94(95%CI: 0.90–0.98) vs. 0.80 (95% CI: 0.73–0.87); 0.93 (95%CI:0.90–0.96) vs. 0.86 (95%CI:0.82–0.91). The critical value of initial D-Dimer, peak D-Dimer, initial NLR and peak NLR was 0.73 mg/L, 3.78 mg/L,7.13 and 14.31 respectively. 35 (10.03%) patients were intubated. In the intubated patients, initial and peak D-Dimer and NLR were much higher than non-intubated patients (P < 0.001). The critical value of initial D-Dimer, peak D-Dimer, initial NLR and peak NLR in prognosticate of intubation was 0.73 mg/L, 12.75 mg/L,7.28 and 27.55. The multivariable Cox regression analysis showed that age (HR 1.04, 95% CI 1.00–1.07, P = 0.01), the peak D-Dimer (HR 1.03, 95% CI 1.01–1.04, P < 0.001) were prognostic factors for COVID-19 patients’ death. Conclusions To dynamically observe the ratio of D-Dimer and NLR was more valuable during the prognosis of COVID-19. The rising trend in D-Dimer and NLR, or the test results higher than the critical values may indicate a risk of death for participants with COVID-19.
Collapse
Affiliation(s)
- Wenjing Ye
- Department of Respiratory Medicine, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Guoxi Chen
- Department of Tuberculosis ward 2, Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China
| | - Xiaopan Li
- Center for Disease Control and Prevention, Pudong New Area, Shanghai, 200136, China.,Fudan University Pudong Institute of Preventive Medicine, Pudong New Area, Shanghai, 200136, China
| | - Xing Lan
- Department of Tuberculosis ward 2, Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China
| | - Chen Ji
- Warwick Clinical Trials Unit, Warwick Medical School, Coventry, UK
| | - Min Hou
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Di Zhang
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Institute of Hospital Development Strategy, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Guangwang Zeng
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Institute of Hospital Development Strategy, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Yaling Wang
- Department of Tuberculosis ward 2, Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China
| | - Cheng Xu
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Institute of Hospital Development Strategy, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Weiwei Lu
- Department of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Ruolin Cui
- Department of Chinese Medicine, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Yuyang Cai
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Hai Huang
- Department of Tuberculosis ward 2, Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China.
| | - Ling Yang
- Department of Geriatrics, Xinhua Hospital, School of Medicine, Institute of Hospital Development Strategy, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, 200092, China.
| |
Collapse
|
5
|
Hofheinz K, Bertz S, Wacker J, Schett G, Manger B. Fever of unknown origin, giant cell arteritis, and aortic dissection. Z Rheumatol 2017; 76:83-86. [PMID: 28074266 DOI: 10.1007/s00393-016-0245-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Giant cell arteritis is one of the most frequent causes of pyrexia of unknown origin after infectious or malignant causes have been ruled out. In this case report we describe a 66-year old female patient, who after five weeks of remitting fever developed a life-threatening, painless severe aortic dissection. The timely use of modern imaging technologies such as magnetic resonance angiography or positron emission computed tomography could in the future be of help to recognize aortic involvement early and to avoid this devastating complication in patients with fever of unknown origin.
Collapse
Affiliation(s)
- K Hofheinz
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - S Bertz
- Institute for Pathology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - J Wacker
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - G Schett
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - B Manger
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
| |
Collapse
|