Documento de consenso sobre asma y tabaquismo del Foro Autonómico de Asma de la SEPAR

Álvarez-Gutiérrez, Francisco Javier; Blanco-Aparicio, Marina; Miñana, Jaime Signes-Costa; Pastor-Esplá, Esther; García-Rivero, Juan Luis; Soto-Campos, José Gregorio; Callejas-González, Francisco Javier; Palacios, Pedro Romero; Riesco-Miranda, Juan Antonio; Jiménez-Ruíz, Carlos A.

doi:10.20882/adicciones.1583

Cited by 4 publications

(4 citation statements)

References 100 publications

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“…Fielding [ 18 ] et al found that a 10% reduction in%FEV1 between baseline and 3months was associated with 21% increased odds for having poor asthma control (95% CI 0-45) 6 months after baseline; even within the “normal range” (80-120%), FEV1%pred is still associated with increased risk of late asthma exacerbation and uncontrolled asthma. Smoking in asthmatic patients can exacerbate the decline of lung function indicators, including FEV1 % pred and FEV1, and this deterioration is correlated with the amount of smoking [ 6 , 19 , 20 ], whereas FEV1%perd can be improved with asthma control [ 21 ]. Therefore, dynamic detection of changes in FEV1%pred can effectively reflect the impairment of lung function and the level of asthma control in asthmatics who smoke.…”

Section: Discussionmentioning

confidence: 99%

Risk factor analysis and nomogram for predicting poor symptom control in smoking asthmatics

Ma,

Chen,

et al. 2024

BMC Pulm Med

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Background Smoking induces and modifies the airway immune response, accelerating the decline of asthmatics’ lung function and severely affecting asthma symptoms’ control level. To assess the prognosis of asthmatics who smoke and to provide reasonable recommendations for treatment, we constructed a nomogram prediction model. Methods General and clinical data were collected from April to September 2021 from smoking asthmatics aged ≥14 years attending the People’s Hospital of Zhengzhou University. Patients were followed up regularly by telephone or outpatient visits, and their medication and follow-up visits were recorded during the 6-months follow-up visit, as well as their asthma control levels after 6 months (asthma control questionnaire-5, ACQ-5). The study employed R4.2.2 software to conduct univariate and multivariate logistic regression analyses to identify independent risk factors for ‘poorly controlled asthma’ (ACQ>0.75) as the outcome variable. Subsequently, a nomogram prediction model was constructed. Internal validation was used to test the reproducibility of the model. The model efficacy was evaluated using the consistency index (C-index), receiver operating characteristic (ROC) curve, calibration curve, and decision curve. Results Invitations were sent to 231 asthmatics who smoked. A total of 202 participants responded, resulting in a final total of 190 participants included in the model development. The nomogram established five independent risk factors (P<0.05): FEV1%pred, smoking index (100), comorbidities situations, medication regimen, and good or poor medication adherence. The area under curve (AUC) of the modeling set was 0.824(95%CI 0.765-0.884), suggesting that the nomogram has a high ability to distinguish poor asthma control in smoking asthmatics after 6 months. The calibration curve showed a C-index of 0.824 for the modeling set and a C-index of 0.792 for the self-validation set formed by 1000 bootstrap sampling, which means that the prediction probability of the model was consistent with reality. Decision curve analysis (DCA) of the nomogram revealed that the net benefit was higher when the risk threshold probability for poor asthma control was 4.5 − 93.9%. Conclusions FEV1%pred, smoking index (100), comorbidities situations, medication regimen, and medication adherence were identified as independent risk factors for poor asthma control after 6 months in smoking asthmatics. The nomogram established based on these findings can effectively predict relevant risk and provide clinicians with a reference to identify the poorly controlled population with smoking asthma as early as possible, and to select a better therapeutic regimen. Meanwhile, it can effectively improve the medication adherence and the degree of attention to complications in smoking asthma patients.

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Section: Discussionmentioning

confidence: 99%

Risk factor analysis and nomogram for predicting poor symptom control in smoking asthmatics

Ma,

Chen,

et al. 2024

BMC Pulm Med

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“…Las exposiciones al tabaco, a la marihuana o a los nuevos dispositivos de liberación de nicotina impactan negativamente en el control de la enfermedad, así como modifican o alteran la respuesta inmunitaria y los biomarcadores utilizados para su fenotipificación 17 , 18 , 20 , 21 . Por lo tanto, es necesario mejorar el abordaje del asma de los pacientes fumadores, así como el tratamiento del tabaquismo en dichos pacientes 22 .…”

Section: Highlights En El áRea De Asmaunclassified

Highlights del 55.° Congreso SEPAR

Meñaca

Herranz

Muñoz-Esquerre

et al. 2023

Open Respiratory Archives

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“…Por todo ello, al cese del hábito tabáquico se le concede un alto nivel de prioridad en las guías de asma Global Initiative for Asthma (GINA) y Guía Española para el Manejo del Asma (GEMA) 4 , 5 , siendo uno de los indicadores de calidad asistencial en asma 7 . Además, se recomienda el cese de este hábito como parte esencial en el consenso de manejo de pacientes con asma y hábito tabáquico del 2020, promovidos por las Áreas de Asma y de Tabaquismo de la SEPAR 82 .…”

Section: Abordaje No Farmacológico Del Asma Desde Enfermeríaunclassified

“…Esta terapia debe constar de dos componentes fundamentales: estrategia conductual (consejo sanitario) y tratamiento farmacológico de primera línea. Las intervenciones son las mismas que para otros fumadores y, a grandes rasgos, consisten en proporcionar consejos antitabaco, o implementar terapia sustitutiva con nicotina, vareniclina o bupropion 82 . Se ha visto que los programas de deshabituación son eficaces en los pacientes asmáticos fumadores, incluso durante la hospitalización por agudización 83 , 84 , 85 y los beneficios obtenidos justifican la derivación para que reciban ayuda para dejar de fumar.…”

Section: Abordaje No Farmacológico Del Asma Desde Enfermeríaunclassified

Documento de consenso de enfermería en asma 2020

Vaquero-Lozano

Lassaletta-Goñi

Giner-Donaire

et al. 2021

Open Respiratory Archives

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Documento de consenso sobre asma y tabaquismo del Foro Autonómico de Asma de la SEPAR

Abstract: Documento de consenso sobre asma y tabaquismo del Foro Autonómico de Asma de la SEPAR

Cited by 4 publications

References 100 publications

Risk factor analysis and nomogram for predicting poor symptom control in smoking asthmatics

Risk factor analysis and nomogram for predicting poor symptom control in smoking asthmatics

Highlights del 55.° Congreso SEPAR

Documento de consenso de enfermería en asma 2020

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