ArticleCanadian respiratory journal2022
Nomograms for Predicting Coexisting Cardiovascular Disease and Prognosis in Chronic Obstructive Pulmonary Disease: A Study Based on NHANES Data.
Article in Canadian respiratory journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- The impact of body mass index on mortality in COPD: an updated dose-response meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2024Pooled it
- Predictive models for mortality readmission events and cardiovascular complications in patients with COPD: a systematic review and meta-analysis.ERJ open research · 2026Article
- From oral infection to pulmonary inflammation: periodontal pathogens and their potential role in COPD susceptibility.Frontiers in cellular and infection microbiology · 2026Article
- A risk assessment model for colon cancer and precancerous lesions based on cancer screening and external validation of the NHANES database.Frontiers in oncology · 2026Article
- Integrating preoperative imaging and clinical factors: a nomogram for predicting functional outcomes after rotator cuff repair.Frontiers in surgery · 2026Article
- Prognostic Models for Disease Progression and Outcomes in Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2025Review
- CT-Based radiomics nomogram of lung and mediastinal features to identify cardiovascular disease in chronic obstructive pulmonary disease: a multicenter study.BMC pulmonary medicine · 2025Article
- Association of systemic inflammatory response index with all-cause and malignant neoplasm mortality in patients with gastrointestinal disease.Translational cancer research · 2025Article
- Nomogram Model for Identifying the Risk of Coronary Heart Disease in Patients with Chronic Obstructive Pulmonary Disease Based on Deep Learning Radiomics and Clinical Data: A Multicenter Study.International journal of chronic obstructive pulmonary disease · 2025Article
- Associations between red cell distribution width and in-hospital mortality in congestive heart failure patients with chronic obstructive pulmonary disease: a retrospective cohort study.Frontiers in medicine · 2025Article
- Predictive role of red blood cell distribution width and hemoglobin-to-red blood cell distribution width ratio for mortality in patients with COPD: evidence from NHANES 1999-2018.BMC pulmonary medicine · 2024Article
- CRP, Fibrinogen, White Blood Cells, and Blood Cell Indices as Prognostic Biomarkers of Future COPD Exacerbation Frequency: The TIE Cohort Study.Journal of clinical medicine · 2024Article
- The role of neutrophil to lymphocyte ratio in patients with COPD-OSA overlap syndrome.Sleep & breathing = Schlaf & Atmung · 2024Article
- Sex differences in comorbidities and mortality risk among patients with chronic obstructive pulmonary disease: a study based on NHANES data.BMC pulmonary medicine · 2023Article
- The Emerging Clinical Significance of the Red Cell Distribution Width as a Biomarker in Chronic Obstructive Pulmonary Disease: A Systematic Review.Journal of clinical medicine · 2022Review
- Prognostic value of neutrophils to lymphocytes and platelets ratio for 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study.BMC pulmonary medicine · 2022Article
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chronic obstructive pulmonary disease (COPD) is a common chronic disease. Progression is further exacerbated by the coexistence of cardiovascular disease (CVD). We aim to construct a diagnostic nomogram for predicting the risk of coexisting CVD and a prognostic nomogram for predicting long-term survival in COPD. Methods: The 540 eligible participants selected from the NHANES 2005-2010 were included in this study. Logistic regression analysis was used to construct a diagnostic nomogram for the diagnosis of coexisting CVD in COPD. Cox regression analyses were used to construct a prognostic nomogram for COPD. A risk stratification system was developed based on the total score generated from the prognostic nomogram. We used C-index and ROC curves to evaluate the discriminant ability of the newly built nomograms. The models were also validated utilizing calibration curves. Survival curves were made using the Kaplan-Meier method and compared by the Log-rank test. Results: Logistic regression analysis showed that gender, age, neutrophil, RDW, LDH, and HbA1c were independent predictors of coexisting CVD and were included in the diagnostic model. Cox regression analysis indicated that CVD, gender, age, BMI, RDW, albumin, LDH, creatinine, and NLR were independent predictors of COPD prognosis and were incorporated into the prognostic model. The C-index and ROC curves revealed the good discrimination abilities of the models. And the calibration curves implied that the predicted values by the nomograms were in good agreement with the actual observed values. In addition, we found that coexisting with CVD had a worse prognosis compared to those without CVD, and the prognosis of the low-risk group was better than that of the high-risk group in COPD. Conclusions: The nomograms we developed can help clinicians and patients to identify COPD coexisting CVD early and predict the 5-year and 10-year survival rates of COPD patients, which has some clinical practical values.
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