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Song Y, Gu Y, Guo H, Yang H, Wang X, Wu H, Wang A, Wang M, Wang H, Zhang Q, Liu L, Meng G, Liu B, Niu K. Association Between Mean Platelet Volume and Benign Prostatic Hyperplasia: A Population Study from the TCLSIH Cohort Study. J Inflamm Res 2023; 16:3259-3269. [PMID: 37564954 PMCID: PMC10411514 DOI: 10.2147/jir.s416404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/11/2023] [Indexed: 08/12/2023] Open
Abstract
Purpose This study aimed to prospectively investigate the association between mean platelet volume (MPV) levels and risk of benign prostatic hyperplasia (BPH) in a general Chinese adult male population, and assessed this association in metabolic syndrome (MetS) patients. Patients and methods This study included a total of 14,923 male participants free from BPH at baseline. MPV was measured by the method of laser-based flow cytometric impedance according to the complete blood sample. BPH was defined as total prostate volume (TPV) ≥ 30 mL, TPV was determined by transabdominal ultrasonography. Multivariable Cox proportional hazards models were fitted to calculate hazards ratios (HRs) and corresponding 95% confidence intervals (CIs) for BPH risk with NLR levels. Results During a median follow-up of 2.7 years, 4848 BPH cases were documented in total male participants, and 1787 BPH cases were documented in MetS participants. After adjusting for age, body mass index, smoking, alcohol and personal and family history of disease, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.03 (95% CIs 0.96, 1.11), 1.00 (95% CIs 0.92, 1.08) and 0.98 (95% CIs 0.90, 1.06), respectively, for participants with MPV in the 1st, 2nd, 3rd and 4th quartiles (P for trend = 0.47). In MetS patients, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.03 (95% CIs 0.90, 1.16), 0.99 (95% CIs 0.87, 1.14) and 1.01 (95% CIs 0.89, 1.15) (P for trend= 0.98), respectively. Conclusion A non-significant association was observed between MPV levels and risk of BPH, and no association in this association in MetS patients. Our findings support the notion that MPV levels may not be a target for BPH prevention and intervention.
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Grants
- This study was supported by grants from the Study of Diet and Nutrition Assessment and Intervention Technology (No. 2020YFC2006300) from Active Health and Aging Technologic Solutions Major Project of National Key R&D Program——Study on Intervention Strategies of Main Nutrition Problems in China (No. 2020YFC2006305), National Natural Science Foundation of China (Nos. 81941024, 81872611, 82103837, 81903315 and 8197141228), Tianjin Major Public Health Science and Technology Project (No. 21ZXGWSY00090), National Health Commission of China (No. SPSYYC 2020015), Food Science and Technology Foundation of Chinese Institute of Food Science and Technology (No. 2019-12), 2014 and 2016 Chinese Nutrition Society (CNS) Nutrition Research Foundation—DSM Research Fund (Nos. 2016-046, 2014-071 and 2016-023), China
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Affiliation(s)
- Yanqi Song
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Honglei Guo
- Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
| | - Honghao Yang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Xuena Wang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hongmei Wu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Aidi Wang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Mengxiao Wang
- Binzhou Hospital of Chinese Medicine, Shandong, People’s Republic of China
| | - Haijin Wang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, People’s Republic of China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Baoshan Liu
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
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Vélez-Páez JL, Aguayo-Moscoso SX, Castro-Bustamante C, Montalvo-Villagómez M, Jara-González F, Baldeón-Rojas L, Zubieta-DeUrioste N, Battaglini D, Zubieta-Calleja GR. Biomarkers as predictors of mortality in critically ill obese patients with COVID-19 at high altitude. BMC Pulm Med 2023; 23:112. [PMID: 37024861 PMCID: PMC10078096 DOI: 10.1186/s12890-023-02399-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 03/24/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Obesity is a common chronic comorbidity of patients with COVID-19, that has been associated with disease severity and mortality. COVID-19 at high altitude seems to be associated with increased rate of ICU discharge and hospital survival than at sea-level, despite higher immune levels and inflammation. The primary aim of this study was to investigate the survival rate of critically ill obese patients with COVID-19 at altitude in comparison with overweight and normal patients. Secondary aims were to assess the predictive factors for mortality, characteristics of mechanical ventilation setting, extubation rates, and analytical parameters. METHODS This is a retrospective cohort study in critically ill patients with COVID-19 admitted to a hospital in Quito-Ecuador (2,850 m) from Apr 1, 2020, to Nov 1, 2021. Patients were cathegorized as normal weight, overweight, and obese, according to body mass index [BMI]). RESULTS In the final analysis 340 patients were included, of whom 154 (45%) were obese, of these 35 (22.7%) were hypertensive and 25 (16.2%) were diabetic. Mortality in obese patients (31%) was lower than in the normal weight (48%) and overweight (40%) groups, but not statistically significant (p = 0.076). At multivariable analysis, in the overall population, older age (> 50 years) was independent risk factor for mortality (B = 0.93, Wald = 14.94, OR = 2.54 95%CI = 1.58-4.07, p < 0.001). Ferritin and the neutrophil/lymphocyte ratio were independent predictors of mortality in obese patients. Overweight and obese patients required more positive and-expiratory pressure compared to normal-weight patients. In obese patients, plateau pressure and mechanical power were significantly higher, whereas extubation failure was lower as compared to overweight and normal weight. CONCLUSIONS This preliminary study suggests that BMI was not associated with mortality in critically ill patients at high altitude. Age was associated with an increase in mortality independent of the BMI. Biomarkers such as ferritin and neutrophils/lymphocytes ratio were independent predictors of mortality in obese patients with COVID-19 at high altitude.
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Affiliation(s)
- Jorge Luis Vélez-Páez
- Centro de Investigación Clínica, Hospital Pablo Arturo Suárez, Unidad de Terapia Intensiva, Quito, Ecuador.
- Facultad de Ciencias Médicas, Universidad Central del Ecuador, Quito, Ecuador.
| | | | | | - Mario Montalvo-Villagómez
- Centro de Investigación Clínica, Hospital Pablo Arturo Suárez, Unidad de Terapia Intensiva, Quito, Ecuador
| | - Fernando Jara-González
- Centro de Investigación Clínica, Hospital Pablo Arturo Suárez, Unidad de Terapia Intensiva, Quito, Ecuador
| | - Lucy Baldeón-Rojas
- Facultad de Ciencias Médicas, Universidad Central del Ecuador, Quito, Ecuador
- Instituto de Investigación en Biomedicina, Universidad Central del Ecuador, Quito, Ecuador
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Microbiological and Clinical Findings of SARS-CoV-2 Infection after 2 Years of Pandemic: From Lung to Gut Microbiota. Diagnostics (Basel) 2022; 12:diagnostics12092143. [PMID: 36140544 PMCID: PMC9498253 DOI: 10.3390/diagnostics12092143] [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: 07/21/2022] [Revised: 08/29/2022] [Accepted: 09/02/2022] [Indexed: 01/08/2023] Open
Abstract
Early recognition and prompt management are crucial for improving survival in COVID-19 patients, and after 2 years of the pandemic, many efforts have been made to obtain an early diagnosis. A key factor is the use of fast microbiological techniques, considering also that COVID-19 patients may show no peculiar signs and symptoms that may differentiate COVID-19 from other infective or non-infective diseases. These techniques were developed to promptly identify SARS-CoV-2 infection and to prevent viral spread and transmission. However, recent data about clinical, radiological and laboratory features of COVID-19 at time of hospitalization could help physicians in early suspicion of SARS-CoV-2 infection and distinguishing it from other etiologies. The knowledge of clinical features and microbiological techniques will be crucial in the next years when the endemic circulation of SARS-CoV-2 will be probably associated with clusters of infection. In this review we provide a state of the art about new advances in microbiological and clinical findings of SARS-CoV-2 infection in hospitalized patients with a focus on pulmonary and extrapulmonary characteristics, including the role of gut microbiota.
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Jin M, Li Z, Li X, Xie M, Li W, Ai L, Sun Y, Cheng X, Sheng Y, Zhang J, Jiang N, Yu Q. Development of a nomogram to assess the impact of the myocardial injury on the prognosis of COVID-19 patients. LE INFEZIONI IN MEDICINA 2022; 30:231-241. [PMID: 35693051 PMCID: PMC9177173 DOI: 10.53854/liim-3002-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
Coronavirus disease 2019 (COVID-19) has been spreading worldwide. Many COVID-19 patients were accompanied by myocardial injury during the course of the disease. To evaluate the association of cardiac injury with clinical outcomes in COVID-19 patients, we recruited 261 COVID-19 cases admitted to Tongji Hospital of Huazhong University of Science and Technology in this study. Compared with patients without myocardial injury, those with myocardial injury were older, with shorter hospital stays and lower survival rates. They also had higher levels of inflammatory biomarkers (Interleukin-6,8,10 and C-reactive protein), coagulation biomarkers, liver and kidney function markers. Kaplan-Meier analysis demonstrated that patients with myocardial injury had a higher mortality rate. The multivariate Cox regression model and the nomogram revealed that myocardial injury, co-morbidity, and abnormal procalcitonin (PCT) levels were independent risk factors of the mortality of COVID-19 patients. The linear correlation analysis and the ROC curve suggested a predictive value of the neutrophil-lymphocyte ratio (NLR) in cardiac injury. Summarily, myocardial injury in COVID-19 patients is associated with a higher mortality risk. Attention should be paid to monitoring myocardial injury in patients with significantly elevated myocardial markers and NLR at admission.
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Affiliation(s)
- Mengdi Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Zhijun Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xinwei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Mengtong Xie
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Weizhen Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Lizhe Ai
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Yaoyao Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xiaodan Cheng
- Department of Critical Care Unit, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Yan Sheng
- Department of Critical Care Unit, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Jinnan Zhang
- Department of Neurosurgery, China-Japan union hospital of Jilin University, Changchun, China
| | - Nan Jiang
- Department of Emergency, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Qiong Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
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