Predictive capability of PUMA score in detection of chronic obstructive pulmonary disease

Objective: Chronic obstructive pulmonary disease (COPD) is one of the top three causes of mortality worldwide.The overall incidence rate of COPD was 8.9/1000 person-years.Several studies have evaluated the prevalence of COPD underdiagnosis in different settings.Simple tool to identify COPD cases is extremely useful for physicians.PUMA prescreening questionnaire is such a tool.The rationale of our study is as our institute is the only institute for 2 districts where pulmonary function test (PFT) is available, so by correlating PUMA score with PFT we could generate questionnaire and use it as as a screening tool in primary care centers where PFT is not available.The aim of the current study was to evaluate predictive capability (sensitivity and specificity) of PUMA score in detecting COPD.Methods: A prospective observational study was conducted from January to March 2024 on 50 patients with clinical suspicion of COPD attending tertiary care center.Seven variables of PUMA questionnaire were used in this study: age (40-49 years-0 points, 50-59 years-1 point, 60-69 years -2 points), sex (female-0 points, male-1 point), pack years of smoking (<20-0 points, 20-30-1 point, >30 -3 points), chronic phelgm-1 point, chronic cough-1 point, Dyspnea-1 point and history of previous spirometry -1 points.Details regarding 7 variables and spirometry data were taken and compared.Patient's consent and ethical committee approval were taken prior to the study.Results: Out of 50 patients, 4 patients were excluded as 3 patients were having pneumothorax and 1 patient had recent eye surgery for which PFT can't be done.Out of 46 people, 34 (74%) were males and 12 (26%) were females.Most common age group involved was greater than 60 years, which represents 28 (60%) patients.Most common symptom was breathlessness seen in 46 (100%) patients.Past history of spirometry was noted in 9 (19%) patients.32 (76%) of patients had history of smoking of which >30 pack years of smoking was seen in 21 (46%) of patients.PUMA score greater than or equal to 6 was seen in 32 (69%) of patients in whom obstructive pattern (post bronchodilator FEV1/FVC less than 0.70) in spirometry was seen in 27 (84%) of patients. Conclusion:In primary care centers where spirometry is not available PUMA questionnaire can play a significant role in identifying patients with risk to develop COPD.

Authors

Publication Details

Journal
Heart Vessels and Transplantation
Published
2024-09-15
DOI
https://doi.org/10.24969/hvt.2024.513
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive capability of PUMA score in detection of chronic obstructive pulmonary disease

Vinay Kumari, Ramya Gadam, Athili Suryakanth, Guttula Narayana Ravi Sai Dattu et al.
Heart Vessels and Transplantation
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Predictive capability of PUMA score in detection of chronic obstructive pulmonary disease

Vinay Kumari, Ramya Gadam, Athili Suryakanth, Guttula Narayana Ravi Sai Dattu, M.Yamuna Rani
article en

Abstract

Objective: Chronic obstructive pulmonary disease (COPD) is one of the top three causes of mortality worldwide.The overall incidence rate of COPD was 8.9/1000 person-years.Several studies have evaluated the prevalence of COPD underdiagnosis in different settings.Simple tool to identify COPD cases is extremely useful for physicians.PUMA prescreening questionnaire is such a tool.The rationale of our study is as our institute is the only institute for 2 districts where pulmonary function test (PFT) is available, so by correlating PUMA score with PFT we could generate questionnaire and use it as as a screening tool in primary care centers where PFT is not available.The aim of the current study was to evaluate predictive capability (sensitivity and specificity) of PUMA score in detecting COPD.Methods: A prospective observational study was conducted from January to March 2024 on 50 patients with clinical suspicion of COPD attending tertiary care center.Seven variables of PUMA questionnaire were used in this study: age (40-49 years-0 points, 50-59 years-1 point, 60-69 years -2 points), sex (female-0 points, male-1 point), pack years of smoking (<20-0 points, 20-30-1 point, >30 -3 points), chronic phelgm-1 point, chronic cough-1 point, Dyspnea-1 point and history of previous spirometry -1 points.Details regarding 7 variables and spirometry data were taken and compared.Patient's consent and ethical committee approval were taken prior to the study.Results: Out of 50 patients, 4 patients were excluded as 3 patients were having pneumothorax and 1 patient had recent eye surgery for which PFT can't be done.Out of 46 people, 34 (74%) were males and 12 (26%) were females.Most common age group involved was greater than 60 years, which represents 28 (60%) patients.Most common symptom was breathlessness seen in 46 (100%) patients.Past history of spirometry was noted in 9 (19%) patients.32 (76%) of patients had history of smoking of which >30 pack years of smoking was seen in 21 (46%) of patients.PUMA score greater than or equal to 6 was seen in 32 (69%) of patients in whom obstructive pattern (post bronchodilator FEV1/FVC less than 0.70) in spirometry was seen in 27 (84%) of patients. Conclusion:In primary care centers where spirometry is not available PUMA questionnaire can play a significant role in identifying patients with risk to develop COPD.

Heart Vessels and TransplantationVol. 0(Ahead of Print)
Good health and well-being
Openalex Percentile: Top 72%
Chronic Obstructive Pulmonary Disease (COPD) Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.