scholarly journals Prevalence, risk factors, and impact of lung cancer on outcomes of idiopathic pulmonary fibrosis: a study from the Middle East

2018 ◽  
Vol 13 ◽  
Author(s):  
Sherif Mohamed ◽  
Hassan Bayoumi ◽  
Nashwa Abd El-Aziz ◽  
Ehab Mousa ◽  
Yasser Gamal
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Odds Ratio ◽  
Independent Predictor ◽  
Significant Independent Predictor ◽  
Upper Egypt ◽  
The Impact

Background: No studies have addressed the impact of lung cancer (LC) on prognosis of patients with idiopathic pulmonary fibrosis (IPF) in Upper Egypt. We aimed to evaluate the prevalence and risk factors for LC among IPF patients and its impact on their outcomes and survival in Upper Egypt. Methods: A total of 246 patients with IPF who had complete clinical and follow up data were reviewed. They were categorized into 2 groups: 34 patients with biopsy-proven LC and IPF (LC-IPF) and 212 patients with IPF only (IPF). Survival and clinical characteristics of the two groups were compared. Results: Prevalence of LC was 13.8%. Pack/years was the most significant predictor for LC development in IPF (Odds ratio; 3.225, CI 1.257–1.669, p = 0.001). Survival in patients with LC-IPF was significantly worse than in patients with IPF without LC; median survival, 35 months vs 55 months; p = 0.000. LC accompanying IPF was one of the most significant independent predictors of survival in IPF patients (Hazard ratio 5.431, CI 2.186–13.492, p = 0.000). Mortality in LC-IPF patients was mainly due to LC progression in 36% and LC therapy-related complications in 22%. Conclusions: Prevalence of LC in IPF patients was 13.8%. Lung cancer has significant impacts on patients with IPF in Upper Egypt, in terms of clinical outcomes and survival. Smoking is the most significant independent predictor of LC development in IPF patients. A poorer survival was observed for patients with IPF developing LC, mainly due to LC progression, and to complications of its therapies. Further prospective, multicenter and larger studies are warranted.

scholarly journals S19 The impact of clotting abnormalities on the natural history of idiopathic pulmonary fibrosis: an extended follow up of a population based cohort

Thorax ◽  
2016 ◽  
Vol 71 (Suppl 3) ◽  
pp. A13.1-A13
Author(s):  
V Navaratnam ◽  
AW Fogarty ◽  
T McKeever ◽  
N Thompson ◽  
G Jenkins ◽  
...  
Keyword(s):  
Natural History ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Population Based ◽  
History Of ◽  
The Impact

scholarly journals Prevalence, risk factors and survival of lung cancer in the idiopathic pulmonary fibrosis

2012 ◽  
Vol 3 (2) ◽  
pp. 150-155 ◽  
Author(s):  
Kyung Jong Lee ◽  
Man Pyo Chung ◽  
Young Whan Kim ◽  
Jae Ho Lee ◽  
Kyu-Sik Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis

The Impact of Lung Cancer on Survival of Idiopathic Pulmonary Fibrosis

CHEST Journal ◽  
2015 ◽  
Vol 147 (1) ◽  
pp. 157-164 ◽  
Author(s):  
Sara Tomassetti ◽  
Christian Gurioli ◽  
Jay H. Ryu ◽  
Paul A. Decker ◽  
Claudia Ravaglia ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
The Impact

scholarly journals Incidence and predictive factors of lung cancer in patients with idiopathic pulmonary fibrosis

2018 ◽  
Vol 4 (1) ◽  
pp. 00111-2016 ◽  
Author(s):  
Eisuke Kato ◽  
Noboru Takayanagi ◽  
Yotaro Takaku ◽  
Naho Kagiyama ◽  
Tetsu Kanauchi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Interstitial Pneumonia ◽  
Cox Regression ◽  
Usual Interstitial Pneumonia ◽  
Cancer Development ◽  
Smoking History ◽  
Incidence Density

The incidence and risk factors of lung cancer in patients with idiopathic pulmonary fibrosis (IPF) have been poorly investigated.We conducted a retrospective study of 632 patients with IPF to assess the incidence and risk factors of lung cancer development.Seventy patients developed lung cancer over a median follow-up period of 3.8 years. The incidence density of lung cancer development was 25.2 cases per 1000 person-years. The most frequent type was squamous cell carcinoma (30%), the majority developed lung cancer in the peripheral lung (82.9%) and adjacent to usual interstitial pneumonia (75.7%). In a multivariate Cox regression hazard model, pack-years of smoking ≥35 and coexisting emphysema were associated with lung cancer development. The 1-, 3- and 5-year all-cause mortality rates after lung cancer diagnosis were 53.5%, 78.6% and 92.9%, respectively.The incidence density of lung cancer is high in IPF patients and occurs more frequently in patients with smoking history of pack-years of smoking ≥35 and with coexisting emphysema. The majority of lung cancers develop adjacent to usual interstitial pneumonia. Knowledge of these factors may help direct efforts for early detection of lung cancer and disease management.

scholarly journals Hospitalizations in patients with idiopathic pulmonary fibrosis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Hyun J. Kim ◽  
Laurie D. Snyder ◽  
Ayodeji Adegunsoye ◽  
Megan L. Neely ◽  
Shaun Bender ◽  
...  
Keyword(s):  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Cox Regression ◽  
Ventilatory Support ◽  
Patient Characteristics ◽  
Risk Of Mortality ◽  
Point Increase ◽  
Increased Risk ◽  
The Impact

Abstract Background Hospitalizations are common among patients with idiopathic pulmonary fibrosis (IPF). We investigated the impact of hospitalizations on outcomes in patients with IPF. Methods The IPF-PRO Registry is an observational US registry that enrolled patients with IPF that was diagnosed or confirmed at the enrolling center in the previous 6 months. Associations between patient characteristics and hospitalization, and between hospitalization and mortality, were analyzed using Cox regression models. Results A total of 1002 patients with IPF were enrolled into the IPF-PRO Registry. Over a median follow-up time of 23.7 months (maximum: 67.0 months), 568 patients (56.7%) had at least one hospitalization. Of these patients, 319 (56.2%) had at least one respiratory-related hospitalization and 120 (21.1%) had at least one hospitalization with ventilatory support. Younger age (HR 0.68 [95% CI 0.55, 0.84] per 5-year increase for patients < 62 years), lower BMI (0.96 [0.93, 0.98] per 1-point increase), lower FVC % predicted (0.90 [0.83, 0.97] per 10% increase), oxygen use at rest (2.85 [2.18, 3.72]) and history of pulmonary hypertension (2.02 [1.37, 2.96]) at enrollment were associated with an increased risk of respiratory-related hospitalization during follow-up. In a multivariable model, there was an eightfold increase in the risk of mortality during hospitalization or within 90 days of discharge compared with outside of this period. The risk of mortality associated with a respiratory hospitalization or a hospitalization with ventilatory support was even greater. Conclusions Data from the IPF-PRO Registry demonstrate that hospitalizations are common among patients with IPF. The risk of mortality during hospitalization or within 90 days of discharge was high, particularly among patients who were hospitalized for a respiratory cause or received ventilatory support. Trial registration ClinicalTrials.gov, NCT01915511. Registered 5 August 2013, https://clinicaltrials.gov/ct2/show/NCT01915511

scholarly journals Longitudinal comparison of anxiety and depression between idiopathic pulmonary fibrosis and other interstitial lung diseases: a prospective cohort study

2020 ◽  
Author(s):  
Won Bae ◽  
Jaeyoung Cho ◽  
Jinwoo Lee ◽  
Young Sik Park ◽  
Chang-Hoon Lee ◽  
...  
Keyword(s):  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Odds Ratio ◽  
Lung Diseases ◽  
Depression Scale ◽  
Interstitial Lung Diseases ◽  
Anxiety And Depression ◽  
Hospital Anxiety ◽  
St George's Respiratory Questionnaire

Abstract Background and objective: Few studies have investigated the differences in the incidence of anxiety and depression among the interstitial lung diseases (ILDs). We evaluated the differences in the incidence of anxiety and depression between idiopathic pulmonary fibrosis (IPF) and non-IPF ILD, and the changes after a 1-year follow-up period. Methods The study participants were patients included in a prospective ILD cohort of Seoul National University Hospital between March 2013 and August 2018. Clinical variables were recorded at baseline and at 1 year. The Hospital Anxiety and Depression Scale was used to assess patient anxiety and depression at baseline and at 1-year follow-up. Results A total of 224 patients in the cohort participated in the study (154 [68.8%] with IPF and 70 [31.2%] with non-IPF ILD). Among them, 111 patients completed a follow-up Hospital Anxiety and Depression Scale questionnaire 1 year later (77 in the IPF group, 34 in the non-IPF group). In the IPF group, 20.8% and 27.3% of patients suffered from anxiety and 29.9% and 31.2% suffered from depression at baseline and 1-year follow-up, respectively. In the non-IPF group, 14.3% and 23.5% of patients suffered from anxiety and 24.3% and 17.6% suffered from depression at baseline and 1-year follow-up, respectively. Total score on the St. George’s Respiratory Questionnaire at baseline was associated with depression both at baseline (odds ratio 1.05; 95% confidence interval 1.02–1.08) and at 1-year follow-up (odds ratio 1.03; 95% confidence interval 1.00-1.05), even after adjusting other factors. The interaction of prevalence change of anxiety and depression at baseline and 1-year follow-up between the IPF group and the non-IPF ILD group were not statistically significant (p-value 0.878 for anxiety and 0.376 for depression, respectively). Conclusion The prevalence of anxiety and depression at baseline and at 1-year follow-up were not significantly different between patients with IPF and non-IPF ILD. St. George’s Respiratory Questionnaire total score at baseline was associated with depression at baseline and at 1-year follow-up.

scholarly journals Quantification of Cancer-Developing Idiopathic Pulmonary Fibrosis Using Whole-Lung Texture Analysis of HRCT Images

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5600
Author(s):  
Chia-Hao Liang ◽  
Yung-Chi Liu ◽  
Yung-Liang Wan ◽  
Chun-Ho Yun ◽  
Wen-Jui Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Risk Stratification ◽  
Diagnostic Accuracy ◽  
Texture Analysis ◽  
Smoking Status ◽  
High Resolution Computed Tomography ◽  
Traditional Risk Factors

Idiopathic pulmonary fibrosis (IPF) patients have a significantly higher risk of developing lung cancer (LC). There is only limited evidence of the use of texture-based radiomics features from high-resolution computed tomography (HRCT) images for risk stratification of IPF patients for LC. We retrospectively enrolled subjects who suffered from IPF in this study. Clinical data including age, gender, smoking status, and pulmonary function were recorded. Non-contrast chest CT for fibrotic score calculation and determination of three dimensional measures of whole-lung texture and emphysema were performed using a promising deep learning imaging platform. The results revealed that among 116 subjects with IPF (90 non-cancer and 26 lung cancer cases), the radiomics features showed significant differences between non-cancer and cancer patients. In the training cohort, the diagnostic accuracy using selected radiomics features with AUC of 0.66–0.73 (sensitivity of 80.0–85.0% and specificity of 54.2–59.7%) was not inferior to that obtained using traditional risk factors, such as gender, smoking status, and emphysema (%). In the validation cohort, the combination of radiomics features and traditional risk factors produced a diagnostic accuracy of 0.87 AUC and an accuracy of 75.0%. In this study, we found that whole-lung CT texture analysis is a promising tool for LC risk stratification of IPF patients.

scholarly journals Characteristics and Outcomes of a Sample of Patients With COVID-19 Identified Through Social Media in Wuhan, China: Observational Study (Preprint)

2020 ◽  
Author(s):  
Dong Liu ◽  
Yuyan Wang ◽  
Juan Wang ◽  
Jue Liu ◽  
Yongjie Yue ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Media ◽  
Odds Ratio ◽  
Relevant Information ◽  
Older Age ◽  
Aggregated Data ◽  
Admission Rates ◽  
The Impact ◽  
Diffuse Distribution

BACKGROUND The number of deaths worldwide caused by coronavirus disease (COVID-19) is increasing rapidly. Information about the clinical characteristics of patients with COVID-19 who were not admitted to hospital is limited. Some risk factors of mortality associated with COVID-19 are controversial (eg, smoking). Moreover, the impact of city closure on mortality and admission rates is unknown. OBJECTIVE The aim of this study was to explore the risk factors of mortality associated with COVID-19 infection among a sample of patients in Wuhan whose conditions were reported on social media. METHODS We enrolled 599 patients with COVID-19 from 67 hospitals in Wuhan in the study; 117 of the participants (19.5%) were not admitted to hospital. The demographic, epidemiological, clinical, and radiological features of the patients were extracted from their social media posts and coded. Telephone follow-up was conducted 1 month later (between March 15 and 23, 2020) to check the clinical outcomes of the patients and acquire other relevant information. RESULTS The median age of patients with COVID-19 who died (72 years, IQR 66.5-82.0) was significantly higher than that of patients who recovered (61 years, IQR 53-69, <i>P</i>&lt;.001). We found that lack of admission to hospital (odds ratio [OR] 5.82, 95% CI 3.36-10.1; <i>P</i>&lt;.001), older age (OR 1.08, 95% CI 1.06-1.1; <i>P</i>&lt;.001), diffuse distribution (OR 11.09, 95% CI 0.93-132.9; <i>P</i>=.058), and hypoxemia (odds ratio 2.94, 95% CI 1.32-6.6; <i>P</i>=.009) were associated with increasing odds of death. Smoking was not significantly associated with mortality risk (OR 0.9, 95% CI 0.44-1.85; <i>P</i>=.78). CONCLUSIONS Older age, diffuse distribution, and hypoxemia are factors that can help clinicians identify patients with COVID-19 who have poor prognosis. Our study suggests that aggregated data from social media can also be comprehensive, immediate, and informative in disease prognosis.

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