{"doi":"10.15326/jcopdf.2023.0443","title":"The Neutrophil-to-Lymphocyte Ratio as a Predictor of Acute Exacerbations Among Patients With COPD in Uganda","abstract":"Background: The neutrophil-to-lymphocyte ratio (NLR) is an inexpensive biomarker that potentially predicts acute exacerbations of chronic obstructive pulmonary disease (AECOPDs). We evaluated the association of baseline NLR and respiratory hospitalization risk within one year among chronic obstructive pulmonary disease (COPD) patients in Uganda, a low- and middle-income country. Methods: A total of 312 COPD patients were followed for one year. Clinical characteristics and exacerbation rates were collected. Poisson regression with robust variance estimators was used to measure the association between NLR and hospital admissions due to COPD exacerbations. Receiver-operator characteristic (ROC) curves and the area under the curve were used to assess the ability of NLR to predict AECOPDs. Results: =0.002). Using Youden and Liu's methods, the optimal NLR cutoff for predicting COPD exacerbation was 1.17. This cutoff resulted in a ROC curve area of 0.64 (95% confidence interval: 0.56, 0.73). Conclusion: The NLR could be used as a risk predictor, in low- and middle-income countries, for hospital admissions due to COPD exacerbations. A cutoff of 1.17 was an independent predictor of hospitalization due to acute exacerbations of COPD within one year.","journal":"Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation","year":2024,"id":464617,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6107,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":769046,"name":"Winceslaus Katagira","orcid":"0000-0003-4622-191X","position":1,"is_corresponding":false},{"id":578515,"name":"David Mukunya","orcid":"0000-0002-3892-9777","position":2,"is_corresponding":false},{"id":823558,"name":"Paul Okimat","orcid":"0000-0001-6655-9964","position":3,"is_corresponding":false},{"id":528625,"name":"Vickram Tejwani","orcid":"0000-0003-2100-6148","position":4,"is_corresponding":false},{"id":437544,"name":"Alex Kayongo","orcid":"0000-0002-5338-3821","position":5,"is_corresponding":false},{"id":587002,"name":"Joanitah Nalunjogi","orcid":"0000-0002-9574-6846","position":6,"is_corresponding":false},{"id":454856,"name":"Nicole Robertson","orcid":"0000-0003-2139-8321","position":7,"is_corresponding":false},{"id":706841,"name":"Rupert Jones","orcid":"0000-0002-5463-2981","position":8,"is_corresponding":false},{"id":304800,"name":"John R. Hurst","orcid":"0000-0002-7246-6040","position":9,"is_corresponding":false},{"id":364009,"name":"Bruce Kirenga","orcid":"0000-0002-2023-2840","position":10,"is_corresponding":false},{"id":364002,"name":"Trishul Siddharthan","orcid":"0000-0001-9914-1839","position":11,"is_corresponding":false},{"id":304804,"name":"Patricia Alupo","orcid":"0000-0001-8946-0940","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-19T02:04:42.082401Z","pmid":"38237091","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}