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Cheng X, Hu D, Wang C, Lu T, Ning Z, Li K, Ren Z, Huang Y, Zhou L, Chung SK, Liu Z, Xia Z, Meng W, Tang G, Sun J, Guo J. Plasma Inflammation Markers Linked to Complications and Outcomes after Spontaneous Intracerebral Hemorrhage. J Proteome Res 2024; 23:4369-4383. [PMID: 39225497 DOI: 10.1021/acs.jproteome.4c00311] [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] [Indexed: 09/04/2024]
Abstract
Intracerebral hemorrhage (ICH) could trigger inflammatory responses. However, the specific role of inflammatory proteins in the pathological mechanism, complications, and prognosis of ICH remains unclear. In this study, we investigated the expression of 92 plasma inflammation-related proteins in patients with ICH (n = 55) and healthy controls (n = 20) using an Olink inflammation panel and discussed the relation to the severity of stroke, clinical complications, 30-day mortality, and 90-day outcomes. Our result showed that six proteins were upregulated in ICH patients compared with healthy controls, while seventy-four proteins were downregulated. In patients with ICH, seven proteins were increased in the severe stroke group compared with the moderate stroke group. In terms of complications, two proteins were downregulated in patients with pneumonia, while nine proteins were upregulated in patients with sepsis. Compared with the survival group, three proteins were upregulated, and one protein was downregulated in the death group. Compared with the good outcome group, eight proteins were upregulated, and four proteins were downregulated in the poor outcome group. In summary, an in-depth exploration of the differential inflammatory factors in the early stages of ICH could deepen our understanding of the pathogenesis of ICH, predict patient prognosis, and explore new treatment strategies.
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Affiliation(s)
- Xiao Cheng
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Department of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, Guangdong China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou 510120, Guangdong China
- Chinese Medicine Guangdong Laboratory, Hengqin 519000, Guangdong China
| | - Dafeng Hu
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
| | - Chengyi Wang
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
| | - Ting Lu
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
| | - Zhenqiu Ning
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
| | - Kunhong Li
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
| | - Zhixuan Ren
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
| | - Yan Huang
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Department of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, Guangdong China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou 510120, Guangdong China
- Chinese Medicine Guangdong Laboratory, Hengqin 519000, Guangdong China
| | - Lihua Zhou
- Department of Anatomy, Zhong Shan School of Medicine, Sun Yat-sen University, Shenzhen 518107, Guangdong China
| | - Sookja Kim Chung
- Faculty of Medicine, Macau University of Science and Technology, Macao Special Administration Region 999078, China
| | - Zhenchuan Liu
- Department of Neurology, Linyi City People's Hospital, Linyi 276000, Shandong China
| | - Zhangyong Xia
- Department of Neurology, Liaocheng City People's Hospital, Liaocheng 252600, Shandong China
| | - Wei Meng
- Department of Neurology, Panjin City Central Hospital, Panjin 124010, Liaoning China
| | - Guanghai Tang
- Department of Neurology, Shenyang City Second Hospital of Traditional Chinese Medicine, Shenyang 110000, Liaoning China
| | - Jingbo Sun
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Department of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, Guangdong China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou 510120, Guangdong China
- Chinese Medicine Guangdong Laboratory, Hengqin 519000, Guangdong China
| | - Jianwen Guo
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Department of Neurology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, Guangdong China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong China
- Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou 510120, Guangdong China
- Chinese Medicine Guangdong Laboratory, Hengqin 519000, Guangdong China
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Ahmad M, Ayaz Z, Sinha T, Soe TM, Tutwala N, Alrahahleh AA, Arrey Agbor DB, Ali N. Risk Factors for the Development of Pneumonia in Stroke Patients: A Systematic Review and Meta-Analysis. Cureus 2024; 16:e57077. [PMID: 38681338 PMCID: PMC11052642 DOI: 10.7759/cureus.57077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/27/2024] [Indexed: 05/01/2024] Open
Abstract
Pneumonia is one of the most prevalent medical complications post-stroke. It can have negative impacts on the prognosis of stroke patients. This study aimed to determine the predictors of pneumonia in stroke patients. The authors devised, reviewed, and enhanced the search strategy in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were gathered from various electronic databases, including Medline, CINAHL, Cochrane, Embase, and Web of Science, from January 1st, 2011, to February 25th, 2024. The review encompassed studies involving patients aged 18 years and older who were hospitalized for acute stroke care. Inclusion criteria required patients to have received a clinical diagnosis of stroke, confirmed via medical imaging (CT or MRI), hospital primary diagnosis International Classification of Diseases 10th Revision discharge codes, or pathology reporting. A total of 35 studies met the criteria and were included in our pooled analysis. Among them, 23 adopted a retrospective design, while the remaining 12 were prospective. The pooled incidence of pneumonia among patients with stroke was found to be 14% (95% confidence interval = 13%-15%). The pooled analysis reported that advancing age, male gender, a history of chronic obstructive pulmonary disease (COPD), the presence of a nasogastric tube, atrial fibrillation, mechanical ventilation, stroke severity, dysphagia, and a history of diabetes were identified as significant risk factors for pneumonia development among stroke patients. Our results underscore the importance of proactive identification and management of these factors to mitigate the risk of pneumonia in stroke patients.
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Affiliation(s)
| | - Zeeshan Ayaz
- Medicine, Rehman Medical Institute, Peshawar, PAK
| | - Tanya Sinha
- Medical Education, Tribhuvan University, Kirtipur, NPL
| | - Thin M Soe
- Medicine, University of Medicine 1, Yangon, Yangon, MMR
| | - Nimish Tutwala
- Obstetrics and Gynaecology, Topiwala National Medical College & B. Y. L. Nair Charitable Hospital, Mumbai, IND
| | | | - Divine Besong Arrey Agbor
- Clinical Research and Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Internal Medicine, Richmond University Medical Center, Staten Island, USA
| | - Neelum Ali
- Internal Medicine, University of Health Sciences, Lahore, PAK
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Wang J, Liu X, Li Q. Interventional strategies for ischemic stroke based on the modulation of the gut microbiota. Front Neurosci 2023; 17:1158057. [PMID: 36937662 PMCID: PMC10017736 DOI: 10.3389/fnins.2023.1158057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 02/20/2023] [Indexed: 03/06/2023] Open
Abstract
The microbiota-gut-brain axis connects the brain and the gut in a bidirectional manner. The organism's homeostasis is disrupted during an ischemic stroke (IS). Cerebral ischemia affects the intestinal flora and microbiota metabolites. Microbiome dysbiosis, on the other hand, exacerbates the severity of IS outcomes by inducing systemic inflammation. Some studies have recently provided novel insights into the pathogenesis, efficacy, prognosis, and treatment-related adverse events of the gut microbiome in IS. In this review, we discussed the view that the gut microbiome is of clinical value in personalized therapeutic regimens for IS. Based on recent non-clinical and clinical studies on stroke, we discussed new therapeutic strategies that might be developed by modulating gut bacterial flora. These strategies include dietary intervention, fecal microbiota transplantation, probiotics, antibiotics, traditional Chinese medication, and gut-derived stem cell transplantation. Although the gut microbiota-targeted intervention is optimistic, some issues need to be addressed before clinical translation. These issues include a deeper understanding of the potential underlying mechanisms, conducting larger longitudinal cohort studies on the gut microbiome and host responses with multiple layers of data, developing standardized protocols for conducting and reporting clinical analyses, and performing a clinical assessment of multiple large-scale IS cohorts. In this review, we presented certain opportunities and challenges that might be considered for developing effective strategies by manipulating the gut microbiome to improve the treatment and prevention of ischemic stroke.
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Xu S, Yu Y, Liu H, Qiu W, Tang Y, Liu Y. Application of Nursing Outcome-Oriented Integrated Zero-Defect Nursing Combined with Respiratory Function Training in Long-Term Bedridden Patients Undergoing Stroke. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2022; 2022:4425680. [PMID: 36212954 PMCID: PMC9546674 DOI: 10.1155/2022/4425680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/01/2022] [Accepted: 09/12/2022] [Indexed: 11/18/2022]
Abstract
Objective To explore the application effect of nursing outcome-oriented integrated zero-defect nursing combined with respiratory function training in long-term bedridden patients with stroke. Methods A total of 120 long-term bedridden patients with stroke were randomly divided into three groups: groups A, B, and C. Group A was given nursing outcome-oriented integrated zero-defect nursing combined with respiratory function training, group B was given nursing outcome-oriented integrated zero-defect nursing, and group C was given routine nursing. Rosenbek aspiration degree classification criteria were used to evaluate the incidence of aspiration; blood oxygen saturation, arterial oxygen partial pressure, and respiratory pressure were compared before and after the intervention. The swallowing function was evaluated by a water swallowing test (WST). The quality of life was assessed using the Generic Quality of Life Inventory-74 (GQOLI-74). Results After treatment, the Rosenbek aspiration degree of groups A and B were better than those of group C (P < 0.05); the improvement degree of respiratory function indexes in group A was better than those in B and C, and the blood oxygen saturation and arterial blood oxygen partial pressure in group B were better than those in C (P < 0.05). The incidence of complications in groups A and B was lower than that in C, and complications in group A were lower than that in B (P < 0.05). After treatment, the scores of psychological function, social function, and material life status of the three groups were increased, and each score of groups A and B was higher than that of C, and each score of group A was higher than that of B (P < 0.05). Conclusion Nursing outcome-oriented integrated zero-defect nursing combined with respiratory function training can effectively improve aspiration, respiratory function, swallowing function, complication rate, and quality of life in long-term bedridden patients with stroke.
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Affiliation(s)
- Shaona Xu
- Department of Neurosurgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, China
| | - Yanan Yu
- Department of Neurosurgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, China
| | - Hongling Liu
- Department of Surgery of Thyroid Gland and Breast, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, China
| | - Weiwei Qiu
- Department of Neurology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, China
| | - Yu Tang
- College of Basic Medicine, Binzhou Medical University, Yantai, Shandong 264000, China
| | - Ying Liu
- Department of Neurosurgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, China
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Guo B, Guo Z, Zhang H, Shi C, Qin B, Wang S, Chang Y, Chen J, Chen P, Guo L, Guo W, Han H, Han L, Hu Y, Jin X, Li Y, Liu H, Lou P, Lu Y, Ma P, Shan Y, Sun Y, Zhang W, Zheng X, Shao H. Prevalence and risk factors of carbapenem-resistant Enterobacterales positivity by active screening in intensive care units in the Henan Province of China: A multi-center cross-sectional study. Front Microbiol 2022; 13:894341. [PMID: 36187994 PMCID: PMC9521644 DOI: 10.3389/fmicb.2022.894341] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveIn intensive care units (ICUs), carbapenem-resistant Enterobacterales (CRE) pose a significant threat. We aimed to examine the distribution, epidemiological characteristics, and risk factors for CRE positivity in ICUs.Materials and methodsThis cross-sectional study was conducted in 96 ICUs of 78 hospitals in Henan Province, China. The clinical and microbiological data were collected. A multivariable logistic regression model was used to analyze the risk factors for CRE positivity.ResultsA total of 1,009 patients were enrolled. There was a significant difference in CRE positive rate between pharyngeal and anal swabs (15.16 vs. 19.13%, P < 0.001). A total of 297 carbapenem-resistant Klebsiella pneumoniae (CR-KPN), 22 carbapenem-resistant Escherichia coli (CR-ECO), 6 carbapenem-resistant Enterobacter cloacae (CR-ECL), 19 CR-KPN/CR-ECO, and 2 CR-KPN/CR-ECL were detected. Klebsiella pneumoniae carbapenemase (KPC), New Delhi metallo-beta-lactamase (NDM), and a combination of KPC and NDM were detected in 150, 9, and 11 swab samples, respectively. Multivariable logistic regression analysis determined length of ICU stay, chronic neurological disease, transfer from other hospitals, previous infection, and history of antibiotics exposure as independent risk factors for CRE positivity. Age and cardiovascular diseases were independent risk factors for mixed infections of CRE. The occurrence of CRE in secondary and tertiary hospitals was 15.06 and 25.62%, respectively (P < 0.05). Patients from tertiary hospitals had different clinical features compared with those from secondary hospitals, including longer hospital stays, a higher rate of patients transferred from other hospitals, receiving renal replacement therapy, exposure to immunosuppressive drugs, use of antibiotics, and a higher rate of the previous infection.ConclusionIn ICUs in Henan Province, CRE positive rate was very high, mostly KPC-type CR-KPN. Patients with prolonged ICU stay, chronic neurological disease, transfer from other hospitals, previous infection, and history of antibiotic exposure are prone to CRE. Age and cardiovascular diseases are susceptibility factors for mixed infections of CRE. The CRE positive rate in tertiary hospitals was higher than that in secondary hospitals, which may be related to the source of patients, antibiotic exposure, disease severity, and previous infection.
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Affiliation(s)
- Bo Guo
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Ziqi Guo
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Huifeng Zhang
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Chuanchuan Shi
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Bingyu Qin
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
- Bingyu Qin,
| | - Shanmei Wang
- Department of Microbiology Laboratory, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Yinjiang Chang
- Department of Critical Care Medicine, Puyang People’s Hospital, Puyang, China
| | - Jian Chen
- Department of Critical Care Medicine, Xuchang Central Hospital, Xuchang, China
| | - Peili Chen
- Department of Critical Care Medicine, Shangqiu People’s Hospital, Shangqiu, China
| | - Limin Guo
- Department of Critical Care Medicine, Jiyuan People’s Hospital, Jiyuan, China
| | - Weidong Guo
- Department of Critical Care Medicine, Xinxiang Central Hospital, Xinxiang, China
- Department of Critical Care Medicine, The Fourth Clinical College of Xinxiang Medical College, Xinxiang, China
| | - Huaibin Han
- Department of Critical Care Medicine, Zhoukou Central Hospital, Zhoukou, China
| | - Lihong Han
- Department of Critical Care Medicine, Luoyang Central Hospital, Luoyang, China
| | - Yandong Hu
- Department of Critical Care Medicine, Sanmenxia Central Hospital, Sanmenxia, China
| | - Xiaoye Jin
- Department of Critical Care Medicine, Kaifeng People’s Hospital, Kaifeng, China
| | - Yening Li
- Department of Critical Care Medicine, Luohe Central Hospital, Luohe, China
| | - Hong Liu
- Department of Critical Care Medicine, Pingdingshan First People’s Hospital, Pingdingshan, China
| | - Ping Lou
- Department of Critical Care Medicine, Zhengzhou First People’s Hospital, Zhengzhou, China
| | - Yibing Lu
- Department of Critical Care Medicine, Xinyang Central Hospital, Xinyang, China
| | - Panfeng Ma
- Department of Critical Care Medicine, Anyang People’s Hospital, Anyang, China
| | - Yanhua Shan
- Department of Critical Care Medicine, Zhumadian Central Hospital, Zhumadian, China
| | - Yiyi Sun
- Department of Critical Care Medicine, Hebi People’s Hospital, Hebi, China
| | - Wukui Zhang
- Department of Critical Care Medicine, Jiaozuo People’s Hospital, Jiaozuo, China
| | - Xisheng Zheng
- Department of Critical Care Medicine, Nanyang Central Hospital, Nanyang, China
| | - Huanzhang Shao
- Department of Critical Care Medicine, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Critical Care Medicine, Henan University People’s Hospital, Zhengzhou, China
- Henan Key Laboratory for Critical Care Medicine, Zhengzhou, China
- Department of Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
- *Correspondence: Huanzhang Shao,
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Effect of early enteral nutrition combined with probiotics in patients with stroke: a meta-analysis of randomized controlled trials. Eur J Clin Nutr 2022; 76:592-603. [PMID: 34302128 DOI: 10.1038/s41430-021-00986-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 07/05/2021] [Accepted: 07/08/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND/OBJECTIVES Whether to conduct early enteral nutrition combined with probiotics (EEN/probiotics) in stroke patients remains controversial. This study was aimed to systematically explore the efficacy and safety of EEN/probiotics in stroke patients. SUBJECT/METHODS We performed searches in EMBASE, PubMed, Medline, Cochrane Library, Chinese Biomedicine Literature Database (SinoMed), Chinese Scientific Journal Database (VIP), Chinese National Knowledge Infrastructure (CNKI) and Wanfang database. RESULTS A total of 26 randomized controlled trials (2216 patients) were included. Meta-analysis showed a significantly lower incidence of gastrointestinal complications (%) (OR, 0.29; 95% CI,0.24-0.36; P < 0.00001), a lower incidence of infection (%) (OR, 0.27; 95% CI, 0.21-0.36; P < 0.00001), a shorter length of hospital stay (d) (MD, -8.70; 95% CI, -13.24 to -4.16; P = 0.003), and a lower dysbacteriosis rate (%) (OR, 0.17; 95% CI, 0.07-0.41; P < 0.0001) in the EEN/probiotics group than EEN group. Compared with EEN group, EEN/probiotics group had lower levels of diamine oxidase (U/L) (MD, -0.78; 95% CI, -0.93 to -0.63; P < 0.00001), D-lactic acid (mmol/L) (MD, -0.06; 95% CI, -0.07 to -0.05; P < 0.00001) and higher levels of albumin (g/L) (MD, 3.38; 95% CI, 2.74-4.02; P < 0.00001), prealbumin (mg/L) (MD, 32.20; 95% CI, 24.42-39.98; P < 0.00001), total protein (g/L) (MD, 4.91; 95% CI, 3.20-6.62; P < 0.00001), hemoglobin (g/L) (MD, 9.62; 95% CI, 7.92-11.32; P < 0.00001), immunoglobulin A (g/L) (MD, 0.23; 95% CI, 0.12-0.34; P < 0.0001) and immunoglobulin G (g/L) (MD, 0.33; 95% CI, 0.21-0.45; P < 0.00001). CONCLUSION Early enteral nutrition combined with probiotics may effectively improve the nutritional status of stroke patients, regulate the intestinal flora and intestinal mucosal barrier function, improve the immune function, reduce the incidence of infectious complications and gastrointestinal motility disorders.
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Zheng L, Wen L, Lei W, Ning Z. Added value of systemic inflammation markers in predicting pulmonary infection in stroke patients: A retrospective study by machine learning analysis. Medicine (Baltimore) 2021; 100:e28439. [PMID: 34967381 PMCID: PMC8718201 DOI: 10.1097/md.0000000000028439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 12/07/2021] [Indexed: 01/05/2023] Open
Abstract
Exploring candidate markers to predict the clinical outcomes of pulmonary infection in stroke patients have a high unmet need. This study aimed to develop machine learning (ML)-based predictive models for pulmonary infection.Between January 2008 and April 2021, a retrospective analysis of 1397 stroke patients who had CT angiography from skull to diaphragm (including CT of the chest) within 24 hours of symptom onset. A total of 21 variables were included, and the prediction model of pulmonary infection was established by multiple ML-based algorithms. Risk factors for pulmonary infection were determined by the feature selection method. Area under the curve (AUC) and decision curve analysis were used to determine the model with the best resolution and to assess the net clinical benefits associated with the use of predictive models, respectively.A total of 889 cases were included in this study as a training group, while 508 cases were as a validation group. The feature selection indicated the top 6 predictors were procalcitonin, C-reactive protein, soluble interleukin-2 receptor, consciousness disorder, dysphagia, and invasive procedure. The AUCs of the 5 models ranged from 0.78 to 0.87 in the training cohort. When the ML-based models were applied to the validation set, the results also remained reconcilable, and the AUC was between 0.891 and 0.804. The decision curve analysis also showed performed better than positive line and negative line, indicating the favorable predictive performance and clinical values of the models.By incorporating clinical characteristics and systemic inflammation markers, it is feasible to develop ML-based models for the presence and consequences of signs of pulmonary infection in stroke patients, and the use of the model may be greatly beneficial to clinicians in risk stratification and management decisions.
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Affiliation(s)
- Lv Zheng
- Department of Rehabilitation, Shenzhen Longgang Central Hospital, Shenzhen, China
| | - Lv Wen
- Department of Rehabilitation, Shenzhen Longgang Central Hospital, Shenzhen, China
| | - Wang Lei
- Department of Rehabilitation, Shenzhen Longgang Central Hospital, Shenzhen, China
| | - Zhang Ning
- Department of Rehabilitation, First Affiliated Hospital of Heilongjiang University of Chinese medicine, Harbin, China
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