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Gong Y, Du F, Yao Y, Wang H, Wang X, Xiong W, Wang Q, He G, Chen L, Du H, Yang J, Bauer B, Wang Z, Deng H, Zhu T. Clinical Characteristics of Overweight Patients With Acute Exacerbation Chronic Obstructive Pulmonary Disease (AECOPD). THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e70001. [PMID: 39187923 PMCID: PMC11347388 DOI: 10.1111/crj.70001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/11/2024] [Accepted: 08/05/2024] [Indexed: 08/28/2024]
Abstract
INTRODUCTION Low body weight in patients with COPD is associated with a poor prognosis and more comorbidities. However, the impact of increased body weight in patients with COPD remains controversial. The aim of this study was to explore the clinical features of overweight patients with AECOPD. METHODS In this multicenter cross-sectional study, a total of 647 AECOPD patients were recruited. Finally, 269 normal weight and 162 overweight patients were included. Baseline characteristics and clinical and laboratory data were collected. The least absolute shrinkage and selection operator (LASSO) regression was performed to determine potential features, which were substituted into binary logistic regression to reveal overweight-associated clinical features. The nomogram and its associated curves were established to visualize and verify the logistic regression model. RESULTS Six potential overweight-associated variables were selected by LASSO regression. Subsequently, a binary logistic regression model identified that the rates of type 2 diabetes (T2DM) and hypertension and levels of lymphocytes (LYM)%, and alanine aminotransferase (ALT) were independent variables of overweight in AECOPD patients. The C-index and AUC of the ROC curve of the nomogram were 0.671 and 0.666, respectively. The DCA curve revealed that the nomogram had more clinical benefits if the threshold was at a range of 0.22~0.78. CONCLUSIONS Collectively, we revealed that T2DM and hypertension were more common, and LYM% and ALT were higher in AECOPD patients with overweight than those with normal weight. The result suggests that AECOPD patients with overweight are at risk for additional comorbidities, potentially leading to worse outcomes.
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Affiliation(s)
- Yuxin Gong
- Department of Pulmonary and Critical Care MedicineZhujiang Hospital, Southern Medical UniversityGuangzhouGuangdongChina
| | - Fawang Du
- Department of Pulmonary and Critical Care MedicineSuining Central HospitalSuiningSichuanChina
| | - Yu Yao
- Department of Pulmonary and Critical Care MedicineSuining Central HospitalSuiningSichuanChina
| | - Hanchao Wang
- Department of Pulmonary and Critical Care MedicineSuining Central HospitalSuiningSichuanChina
| | - Xiaochuan Wang
- Department of Pulmonary and Critical Care MedicineSuining Central HospitalSuiningSichuanChina
| | - Wei Xiong
- Department of Pulmonary and Critical Care MedicineSecond Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Qin Wang
- Department of Pulmonary and Critical Care MedicineSecond Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Gaoyan He
- Department of Pulmonary and Critical Care MedicineSuining Central HospitalSuiningSichuanChina
| | - Linlin Chen
- Department of Gastroenterology MedicineSuining Central HospitalSuiningSichuanChina
| | - Heng Du
- Department of Gastroenterology MedicineSuining Central HospitalSuiningSichuanChina
| | - Juan Yang
- Division of General Internal MedicineMayo ClinicRochesterMinnesotaUSA
| | - Brent A. Bauer
- Division of General Internal MedicineMayo ClinicRochesterMinnesotaUSA
| | - Zhongruo Wang
- Department of MathematicsUniversity of CaliforniaDavisUSA
| | - Huojin Deng
- Department of Pulmonary and Critical Care MedicineZhujiang Hospital, Southern Medical UniversityGuangzhouGuangdongChina
| | - Tao Zhu
- Department of Pulmonary and Critical Care MedicineSuining Central HospitalSuiningSichuanChina
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van der Bie S, Haaksma ME, Vermin B, van Assema H, van Gorp ECM, Langerak T, Endeman H, Snijders D, van den Akker JPC, van Houten MA, van Lelyveld SFL, Goeijenbier M. A Systematic Review of the Pulmonary Microbiome in Patients with Acute Exacerbation COPD Requiring ICU Admission. J Clin Med 2024; 13:472. [PMID: 38256606 PMCID: PMC10816170 DOI: 10.3390/jcm13020472] [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: 11/30/2023] [Revised: 01/03/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
Background: Chronic obstructive pulmonary disease (COPD) is a major health concern. Acute exacerbations (AECOPD) may require intensive care unit (ICU) admission and mechanical ventilation. Acute infections and chronic colonization of the respiratory system are known to precipitate AECOPD. Detailed knowledge of the respiratory microbiome could lead to effective treatment and prevention of exacerbations. Objective: The aim of this review is to summarize the available evidence on the respiratory microbiome of patients with a severe AECOPD requiring mechanical ventilation and intensive care admission. Methods: A systematic literature search was conducted to identify the published papers until January 2023. The collected data were then subjected to qualitative analysis. After the first analysis, a secondary focused review of the most recent publications studying the relationship between microbiome and mortality in AECOPD was performed. Results: Out of 120 screened articles six articles were included in this review. Potentially pathogenic microorganisms (PPMs) were identified in 30% to 72% of the patients with community-acquired bacteria, gram-negative enteric bacilli, Stenotrophomonas and Pseudomonas being the most frequently isolated. During hospitalization, 21% of patients experienced colonization by PPMs. Adequate antimicrobial therapy resulted in the eradication of 77% of the identified PPMs. However, 24% of the bacteria displayed multi-drug resistance leading to prolonged or failure of eradication. Conclusion: PPMs are prevalent in a significant proportion of patients experiencing an AECOPD. The most identified PPMs include community-acquired pathogens and gram-negative enteric bacilli. Notably, no differences in mortality or duration of ventilation were observed between patients with and without isolated PPMs. However, the included studies did not investigate the virome of the patients, which may influence the microbiome and the outcome of infection. Therefore, further research is essential to comprehensively investigate the complete microbial and viral composition of the lower respiratory system in COPD patients admitted to the ICU.
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Affiliation(s)
- Sjoerd van der Bie
- Department of Intensive Care Medicine, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands; (S.v.d.B.); (M.E.H.); (B.V.); (H.v.A.)
| | - Mark E. Haaksma
- Department of Intensive Care Medicine, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands; (S.v.d.B.); (M.E.H.); (B.V.); (H.v.A.)
| | - Ben Vermin
- Department of Intensive Care Medicine, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands; (S.v.d.B.); (M.E.H.); (B.V.); (H.v.A.)
| | - Hidde van Assema
- Department of Intensive Care Medicine, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands; (S.v.d.B.); (M.E.H.); (B.V.); (H.v.A.)
| | - Eric C. M. van Gorp
- Department of Viroscience, Erasmus MC, 3000 CA Rotterdam, The Netherlands; (E.C.M.v.G.); (T.L.)
| | - Thomas Langerak
- Department of Viroscience, Erasmus MC, 3000 CA Rotterdam, The Netherlands; (E.C.M.v.G.); (T.L.)
| | - Henrik Endeman
- Department of Intensive Care Medicine, Erasmus MC, 3000 CA Rotterdam, The Netherlands; (H.E.); (J.P.C.v.d.A.)
| | - Dominic Snijders
- Department of Pulmonology, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands;
| | | | - Marlies A. van Houten
- Department of Pediatric Medicine, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands;
| | | | - Marco Goeijenbier
- Department of Intensive Care Medicine, Spaarne Gasthuis Hoofddorp, 2134 TM Hoofddorp, The Netherlands; (S.v.d.B.); (M.E.H.); (B.V.); (H.v.A.)
- Department of Viroscience, Erasmus MC, 3000 CA Rotterdam, The Netherlands; (E.C.M.v.G.); (T.L.)
- Department of Intensive Care Medicine, Erasmus MC, 3000 CA Rotterdam, The Netherlands; (H.E.); (J.P.C.v.d.A.)
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Chen Z, Wang J, Wang H, Yao Y, Deng H, Peng J, Li X, Wang Z, Chen X, Xiong W, Wang Q, Zhu T. Machine learning reveals sex differences in clinical features of acute exacerbation of chronic obstructive pulmonary disease: A multicenter cross-sectional study. Front Med (Lausanne) 2023; 10:1105854. [PMID: 37056727 PMCID: PMC10086189 DOI: 10.3389/fmed.2023.1105854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/09/2023] [Indexed: 03/30/2023] Open
Abstract
IntroductionIntrinsically, chronic obstructive pulmonary disease (COPD) is a highly heterogonous disease. Several sex differences in COPD, such as risk factors and prevalence, were identified. However, sex differences in clinical features of acute exacerbation chronic obstructive pulmonary disease (AECOPD) were not well explored. Machine learning showed a promising role in medical practice, including diagnosis prediction and classification. Then, sex differences in clinical manifestations of AECOPD were explored by machine learning approaches in this study.MethodsIn this cross-sectional study, 278 male patients and 81 female patients hospitalized with AECOPD were included. Baseline characteristics, clinical symptoms, and laboratory parameters were analyzed. The K-prototype algorithm was used to explore the degree of sex differences. Binary logistic regression, random forest, and XGBoost models were performed to identify sex-associated clinical manifestations in AECOPD. Nomogram and its associated curves were established to visualize and validate binary logistic regression.ResultsThe predictive accuracy of sex was 83.930% using the k-prototype algorithm. Binary logistic regression revealed that eight variables were independently associated with sex in AECOPD, which was visualized by using a nomogram. The AUC of the ROC curve was 0.945. The DCA curve showed that the nomogram had more clinical benefits, with thresholds from 0.02 to 0.99. The top 15 sex-associated important variables were identified by random forest and XGBoost, respectively. Subsequently, seven clinical features, including smoking, biomass fuel exposure, GOLD stages, PaO2, serum potassium, serum calcium, and blood urea nitrogen (BUN), were concurrently identified by three models. However, CAD was not identified by machine learning models.ConclusionsOverall, our results support that the clinical features differ markedly by sex in AECOPD. Male patients presented worse lung function and oxygenation, less biomass fuel exposure, more smoking, renal dysfunction, and hyperkalemia than female patients with AECOPD. Furthermore, our results also suggest that machine learning is a promising and powerful tool in clinical decision-making.
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Affiliation(s)
- Zhihong Chen
- Respiratory Medicine and Critical Care Medicine, Zhongshan Hospital of Fudan University, Shanghai, China
| | - Jiajia Wang
- Rheumatology Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hanchao Wang
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, China
| | - Yu Yao
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, China
| | - Huojin Deng
- Respiratory Medicine and Critical Care Medicine, ZhuJiang Hospital of Southern Medical University, Guangzhou, China
| | - Junnan Peng
- Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xinglong Li
- Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhongruo Wang
- Department of Mathematics, University of California, Davis, CA, United States
| | - Xingru Chen
- Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Xiong
- Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qin Wang
- Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tao Zhu
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, China
- *Correspondence: Tao Zhu,
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Xiao M, Wang X, Wang H, Du F, Yao Y, Wang X, Wang J, Yang J, Xiong W, Wang Q, Ren X, Zhu T. Risk factors for hyponatremia in acute exacerbation chronic obstructive pulmonary disease (AECOPD): a multicenter cross-sectional study. BMC Pulm Med 2023; 23:39. [PMID: 36709254 PMCID: PMC9884134 DOI: 10.1186/s12890-023-02328-4] [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: 11/10/2022] [Accepted: 01/16/2023] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Hyponatremia is an independent predictor of poor prognosis, including increased mortality and readmission, in COPD patients. Identifying modifiable etiologies of hyponatremia may help reduce adverse events in patients with AECOPD. Therefore, the aim of this study was to explore the risk factors and underlying etiologies of hyponatremia in AECOPD patients. METHODS A total of 586 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 323 had normonatremia, and 90 had hyponatremia. Demographics, underlying diseases, comorbidities, symptoms, and laboratory data were collected. The least absolute shrinkage and selection operator (LASSO) regression was used to select potential risk factors, which were substituted into binary logistic regression to identify independent risk factors. Nomogram was built to visualize and validate binary logistics regression model. RESULTS Nine potential hyponatremia-associated variables were selected by LASSO regression. Subsequently, a binary logistic regression model identified that smoking status, rate of community-acquired pneumonia (CAP), anion gap (AG), erythrocyte sedimentation rate (ESR), and serum magnesium (Mg2+) were independent variables of hyponatremia in AECOPD patients. The AUC of ROC curve of nomogram was 0.756. The DCA curve revealed that the nomogram could yielded more clinical benefits if the threshold was between 10% and 52%. CONCLUSIONS Collectively, our results showed that smoking status, CAP, AG, ESR, and serum Mg2+ were independently associated with hyponatremia in AECOPD patients. Then, these findings indicate that pneumonia, metabolic acidosis, and hypomagnesemia were the underlying etiologies of hyponatremia in AECOPD patients. However, their internal connections need further exploration.
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Affiliation(s)
- Min Xiao
- grid.412901.f0000 0004 1770 1022Respiratory Medicine and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Xiaoyu Wang
- grid.412901.f0000 0004 1770 1022Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Hanchao Wang
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, 629000 Sichuan China
| | - Fawang Du
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, 629000 Sichuan China
| | - Yu Yao
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, 629000 Sichuan China
| | - Xiaochuan Wang
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, 629000 Sichuan China
| | - Jiajia Wang
- grid.412461.40000 0004 9334 6536Rheumatology Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010 China
| | - Juan Yang
- grid.66875.3a0000 0004 0459 167XDivision of General Internal Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | - Wei Xiong
- grid.412461.40000 0004 9334 6536Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010 China
| | - Qin Wang
- grid.412461.40000 0004 9334 6536Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010 China
| | - Xubin Ren
- Respiratory Medicine and Critical Care Medicine, Chengdu First People’s Hospital, Chengdu, 610041 Sichuan China
| | - Tao Zhu
- Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, 629000 Sichuan China
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Zinellu A, Zinellu E, Mangoni AA, Pau MC, Carru C, Pirina P, Fois AG. Clinical significance of the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in acute exacerbations of COPD: present and future. Eur Respir Rev 2022; 31:31/166/220095. [DOI: 10.1183/16000617.0095-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/22/2022] [Indexed: 11/30/2022] Open
Abstract
Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are a leading cause of hospitalisation and death in COPD patients. In addition to the identification of better strategies to prevent AECOPD, there is an intense focus on discovering novel markers of disease severity that enhance risk stratification on hospital admission for the targeted institution of aggressiveversussupportive treatments. In the quest for such biomarkers, an increasing body of evidence suggests that specific indexes derived from routine complete blood counts,i.e.the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR), can significantly predict adverse outcomes in AECOPD. This narrative review discusses the current evidence regarding the association between the NLR and the PLR on admission and several clinical end-points (need for invasive ventilation, noninvasive mechanical ventilation failure, admission to an intensive care unit, pulmonary hypertension, length of hospitalisation, and mortality) in AECOPD. Future research directions and potential clinical applications of these haematological indexes in this patient group are also discussed.
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Zinellu A, Zinellu E, Pau MC, Carru C, Pirina P, Fois AG, Mangoni AA. A Comprehensive Systematic Review and Meta-Analysis of the Association between the Neutrophil-to-Lymphocyte Ratio and Adverse Outcomes in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease. J Clin Med 2022; 11:jcm11123365. [PMID: 35743436 PMCID: PMC9225466 DOI: 10.3390/jcm11123365] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/10/2022] [Accepted: 06/10/2022] [Indexed: 12/12/2022] Open
Abstract
The neutrophil-to-lymphocyte ratio (NLR) predicts adverse outcomes in stable chronic obstructive pulmonary disease (COPD); however, its prognostic role in acute exacerbations (AECOPD) is less clear. We conducted a systematic review and meta-analysis of the association between the NLR on admission and adverse outcomes (mortality, need for mechanical ventilation, transfer to the intensive care unit, length of stay, pulmonary hypertension, or their combination) in AECOPD by searching PubMed, Web of Science, and Scopus from inception to April 2022. Risk of bias and certainty of evidence were assessed using the Joanna Briggs Institute Critical Appraisal Checklist and the Grades of Recommendation, Assessment, Development, and Evaluation, respectively. In 15 studies (n = 10,038 patients), the NLR was significantly associated with the risk of adverse outcomes (odds ratio = 1.054, 95% CI 1.016 to 1.093, p = 0.005; low certainty of evidence; standard mean difference = 0.82, 95% CI 0.57 to 1.06, p < 0.001; high certainty of evidence). Pooled sensitivity, specificity, and area under the curve were 0.71 (95% CI 0.64 to 0.77), 0.73 (95% CI 0.65 to 0.80), and 0.78 (95% CI 0.74 to 0.81), respectively. In our study, the NLR on admission was significantly associated with adverse outcomes in AECOPD patients, suggesting the potential utility of this biomarker for early risk stratification and management in this group.
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Affiliation(s)
- Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; (A.Z.); (C.C.)
| | - Elisabetta Zinellu
- Clinical and Interventional Pneumology, University Hospital of Sassari (AOU), 07100 Sassari, Italy; (E.Z.); (P.P.); (A.G.F.)
| | - Maria Carmina Pau
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy;
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; (A.Z.); (C.C.)
- Quality Control Unit, University Hospital of Sassari (AOU), 07100 Sassari, Italy
| | - Pietro Pirina
- Clinical and Interventional Pneumology, University Hospital of Sassari (AOU), 07100 Sassari, Italy; (E.Z.); (P.P.); (A.G.F.)
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy;
| | - Alessandro G. Fois
- Clinical and Interventional Pneumology, University Hospital of Sassari (AOU), 07100 Sassari, Italy; (E.Z.); (P.P.); (A.G.F.)
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy;
| | - Arduino A. Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia
- Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Bedford Park, SA 5042, Australia
- Correspondence:
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