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Dai W, Zhong T, Chen F, Shen M, Zhu L. Construction of a prediction model for pulmonary infection and its risk factors in Intensive Care Unit patients. Pak J Med Sci 2024; 40:1129-1134. [PMID: 38952511 PMCID: PMC11190388 DOI: 10.12669/pjms.40.6.9307] [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] [Received: 12/12/2023] [Revised: 12/21/2023] [Accepted: 02/24/2024] [Indexed: 07/03/2024] Open
Abstract
Objective To identify independent risk factors of pulmonary infection in intensive care unit (ICU) patients, and to construct a prediction model. Methods Medical data of 398 patients treated in the ICU of Jiaxing Hospital of Traditional Chinese Medicine from January 2019 to January 2023 were analyzed. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for pulmonary infection in ICU patients. R software was used to construct a nomogram prediction model, and the prediction model was internally validated using computer simulation bootstrap method. Predictive value of the model was analyzed using the receiver operating characteristic (ROC) curve. Results A total of 97 ICU patients (24.37%) developed pulmonary infection. Age, ICU stay time, invasive operation, diabetes, duration of mechanical ventilation, and state of consciousness were all identified as risk factors for pulmonary infection. The calibration curve of the constructed nomogram prediction model showed a good consistency between the predicted value of the model and the actual observed value. ROC curve analysis showed that the area under the curve (AUC) of the model was 0.784 (95% CI: 0.731-0.837), indicating a certain predictive value. Conclusions Age, length of stay in ICU, invasive operation, diabetes, duration of mechanical ventilation, and state of consciousness are risk factors for pulmonary infection in ICU patients. The nomogram prediction model constructed based on the above risk factors has shown a good predictive value.
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Affiliation(s)
- Weilei Dai
- Weilei Dai Department of Nursing, Jiaxing Hospital of Traditional Chinese Medicine Jiaxing, Zhejiang Province 314001, P.R. China
| | - Ting Zhong
- Ting Zhong Department of ICU, Jiaxing Hospital of Traditional Chinese Medicine Jiaxing, Zhejiang Province 314001, P.R. China
| | - Feng Chen
- Feng Chen Department of ICU, Jiaxing Hospital of Traditional Chinese Medicine Jiaxing, Zhejiang Province 314001, P.R. China
| | - Miaomiao Shen
- Miaomaio Shen Department of Information Center, Jiaxing Hospital of Traditional Chinese Medicine Jiaxing, Zhejiang Province 314001, P.R. China
| | - Liya Zhu
- Liya Zhu Department of ICU, Jiaxing Hospital of Traditional Chinese Medicine Jiaxing, Zhejiang Province 314001, P.R. China
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Grossini E, Concina D, Rinaldi C, Russotto S, Garhwal D, Zeppegno P, Gramaglia C, Kul S, Panella M. Association Between Plasma Redox State/Mitochondria Function and a Flu-Like Syndrome/COVID-19 in the Elderly Admitted to a Long-Term Care Unit. Front Physiol 2022; 12:707587. [PMID: 34975514 PMCID: PMC8715756 DOI: 10.3389/fphys.2021.707587] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/22/2021] [Indexed: 01/08/2023] Open
Abstract
Background/Aims: It is widely known that the imbalance between reactive oxygen species (ROS)/antioxidants and mitochondrial function could play a pivotal role in aging and in the physiopathology of viral infections. Here, we correlated the plasma oxidants/antioxidants levels of the elderly admitted to a long-term care (LTC) unit with clinical data in relation to flu-like disease/COVID-19. Moreover, in vitro we examined the effects of plasma on cell viability, ROS release and mitochondrial function. Materials and Methods: In 60 patients admitted to LTC unit for at least 1 year at moderate or high care load, demographic and clinical variables were taken. Blood samples were collected for the evaluations of oxidants/antioxidants, as thiobarbituric acid reactive substances, 8-hydroxy-2-deoxyguanosine, 8-isoprostanes, superoxide dismutase activity, glutathione, and vitamin D. In vitro, human umbilical vascular endothelial cells (HUVEC) were used to examine the effects of plasma on viability, ROS release and mitochondrial membrane potential. Results: The results obtained showed that the redox state of the elderly was quite balanced; mitochondrial membrane potential of HUVEC was reduced by about 20%, only. Also, the correlation analysis evidenced the association between mitochondrial function and the patients' outcomes. Interestingly, lower levels of mitochondrial membrane potential were found in the elderly who had symptoms suggestive of COVID-19 or with a confirmed diagnosis of COVID-19. Conclusion: The results of this study highlight the importance of mitochondrial function in the tendency to get a flu-like syndrome like COVID-19 in the elderly admitted to LTC unit. This information could have clinical implications for the management of old population.
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Affiliation(s)
- Elena Grossini
- Laboratory of Physiology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Diego Concina
- AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,Anteo Cooperativa Sociale Onlus, RSA Belletti Bona, Biella, Italy.,Public Health, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Carmela Rinaldi
- AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,Public Health, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Sophia Russotto
- AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,Anteo Cooperativa Sociale Onlus, RSA Belletti Bona, Biella, Italy
| | - Divya Garhwal
- Laboratory of Physiology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Patrizia Zeppegno
- AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,Psychiatric Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Carla Gramaglia
- AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,Psychiatric Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Seval Kul
- Department of Biostatistics, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey
| | - Massimiliano Panella
- AGING Project Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.,Anteo Cooperativa Sociale Onlus, RSA Belletti Bona, Biella, Italy.,Public Health, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
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Yu R, Lin Q, Zhai Y, Mao Y, Li K, Gao Y, Liu Y, Fu L, Fang T, Zhao M, Guan L, Hou L, Xu J, Chen W. Recombinant human thymosin beta-4 (rhTβ4) improved scalp condition and microbiome homeostasis in seborrheic dermatitis. Microb Biotechnol 2021; 14:2152-2163. [PMID: 34318587 PMCID: PMC8449661 DOI: 10.1111/1751-7915.13897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 11/30/2022] Open
Abstract
Seborrheic dermatitis (SD) is a recurrent common inflammatory skin disease that affects all ethnic groups in all regions worldwide. However, no specific treatment or preventive measure is yet available. Identifying effective treatments with acceptable safety and tolerability is desirable. In this study, scalp microbiota alterations were measured in SD, showing significantly greater abundance of Malassezia and Staphylococcus and diminished fungal and bacterial diversity compared with healthy controls. We investigated the benefit of a 4‐week treatment with 0.5 mg ml‐1 recombinant human thymosin β4 (rhTβ4) gel or 2% ketoconazole lotion on the scalp condition of 71 patients with SD compared with 21 healthy individuals. Clinical assessment (Adherent Scalp Flaking Score, and the Maximum Erythema Area) and physiological conditions (transepidermal water loss, hydration, and sebum secretion) were evaluated. The rhTβ4 treatment provided significantly greater efficacy than ketoconazole and a sustained effect in the treatment of scalp SD. More importantly, rhTβ4 dramatically improved the microbiome homeostasis and prompted a shift of scalp microflora towards healthy composition, helping symptoms and ameliorating physiological conditions more effectively and durably than ketoconazole. Our research demonstrated the scalp microbe dysbiosis of SD and highlighted rhTβ4 as a promising therapeutic strategy in the prevention and treatment of SD.
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Affiliation(s)
- Rui Yu
- Beijing Institute of Biotechnology, Beijing, China
| | - Qingbin Lin
- Beijing Institute of Biotechnology, Beijing, China
| | - Yanfang Zhai
- Beijing Institute of Biotechnology, Beijing, China
| | - Yunyun Mao
- Beijing Institute of Biotechnology, Beijing, China
| | - Kai Li
- Beijing Institute of Biotechnology, Beijing, China
| | - Yuemei Gao
- Beijing Institute of Biotechnology, Beijing, China
| | - Yanhong Liu
- Beijing Institute of Biotechnology, Beijing, China
| | - Ling Fu
- Beijing Institute of Biotechnology, Beijing, China
| | - Ting Fang
- Beijing Institute of Biotechnology, Beijing, China
| | - Mengsu Zhao
- Beijing Institute of Biotechnology, Beijing, China
| | - Lei Guan
- Guangzhou Landproof testing technology Co., Ltd., Guangzhou, China
| | - Lihua Hou
- Beijing Institute of Biotechnology, Beijing, China
| | - Junjie Xu
- Beijing Institute of Biotechnology, Beijing, China
| | - Wei Chen
- Beijing Institute of Biotechnology, Beijing, China
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