scholarly journals 792. Number and Volume of Cavitary Lesions on Chest Computed Tomography Associated With Prolonged Time to Culture Conversion in Drug-Susceptible Pulmonary Tuberculosis

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S284-S284
Author(s):  
Alfonso Hernandez
Keyword(s):  
Computed Tomography ◽  
Pulmonary Tuberculosis ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Chest Roentgenogram ◽  
Sputum Smear ◽  
Chest Computed Tomography ◽  
Median Difference ◽  
Cox Proportional Hazards Models ◽  
Culture Conversion

Abstract Background Cavitary lesions (CLs) may be a marker of poor treatment response in pulmonary tuberculosis (PTB). Identification of CLs by chest roentgenogram (CXR) has important limitations. Chest computed tomography (CT) is more sensitive than CXR to detect CLs but the clinical relevance of CLs identified by CT remains understudied. We compared detection of CLs between CT and CXR and assessed their association with time to sputum culture conversion (tSCC). We hypothesized that increasing number and volume of CLs on CT would be associated with prolonged tSCC. Methods Retrospective cohort study of 141 culture confirmed PTB patients who underwent chest CT. We used multivariate Cox proportional hazards models to evaluate the association between chest radiological features and tSCC. Results Seventy-five (53%) patients had one or more CLs on CT. CT identified cavities in 31% of patients without a CL on CXR. Detection of cavity on CT was associated with an increased median [IQR] time to culture conversion (15 [7–35] days among noncavitary CT vs. 39 [25–55] days among cavitary CT; P < 0.0001). Among patients without CL on CXR, detection of CL on CT was associated with prolonged tSCC (median difference (CI): 16 (7–25) days, P = 0.0008). Similar results were observed among patients with 3–4+ sputum smear (median difference: 19.5 (8–31) days, P = 0.001). Adjusted Kaplan–Meier curves of number and volume of CLs and tSCC are shown in Figure 1. After confounder adjustment patients with single and multiple CL had a prolonged tSCC relative to patients without CLs on CT (adjusted Hazard Ratio [aHR] 0.56 (0.32–0.97) and 0.31 (0.16–0.60), respectively). Similarly, patients with CL volume 25 mL or more had a prolonged tSCC (aHR 0.39 (0.21–0.72)). CXR CL was not associated with prolonged tSCC. Conclusion We observed a dose–response relationship between increasing number and volume of CLs on CT and delayed tSCC independent of sputum bacillary load. Our findings highlight a role for CT in a clinical research setting to predict shorter time to culture conversion. Disclosures All authors: No reported disclosures.

scholarly journals Increasing Number and Volume of Cavitary Lesions on Chest Computed Tomography Are Associated With Prolonged Time to Culture Conversion in Pulmonary Tuberculosis

2019 ◽  
Vol 6 (6) ◽  
Author(s):  
Alfonso C Hernandez-Romieu ◽  
Brent P Little ◽  
Adam Bernheim ◽  
Marcos C Schechter ◽  
Susan M Ray ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Tuberculosis ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Chest Computed Tomography ◽  
Sputum Microscopy ◽  
Cox Proportional Hazards Models ◽  
Increased Sensitivity ◽  
Multivariable Adjustment ◽  
Culture Conversion

Abstract Background Cavitary lesions (CLs) primarily identified by chest x-ray (CXR) have been associated with worse clinical outcomes among patients with pulmonary tuberculosis (PTB). Chest computed tomography (CT), which has better resolution and increased sensitivity to detect lung abnormalities, has been understudied in PTB patients. We compared detection of CLs by CT and CXR and assessed their association with time to sputum culture conversion (tSCC). Methods This was a retrospective cohort study of 141 PTB patients who underwent CT. We used multivariate Cox proportional hazards models to evaluate the association between CLs on CXR and the number and single largest volume of CLs on CT with tSCC. Results Thirty (21%) and 75 (53%) patients had CLs on CXR and CT, respectively. CT detected cavities in an additional 44 patients (31%) compared with CXR. After multivariable adjustment, we observed a negative association between CLs and tSCC, with an adjusted hazard ratio (aHR) of 0.56 (95% confidence interval [CI], 0.32 to 0.97) for single CLs and 0.31 (95% CI, 0.16 to 0.60) for multiple CLs present on CT. Patients with a CL volume ≥25 mL had a prolonged tSCC (aHR, 0.39; 95% CI, 0.21 to 0.72). CLs on CXR were not associated with increased tSCC after multivariable adjustment. Conclusions CT detected a larger number of cavities in patients with PTB relative to CXR. We observed an association between increasing number and volume of CLs on CT and delayed tSCC independent of sputum microscopy result. Our findings highlight a potential role for CT in the clinical and research setting as a tool to risk-stratify patients with PTB.

scholarly journals A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems

JAMIA Open ◽  
2020 ◽  
Author(s):  
Spiros Denaxas ◽  
Anoop D Shah ◽  
Bilal A Mateen ◽  
Valerie Kuan ◽  
Jennifer K Quint ◽  
...  
Keyword(s):  
Primary Care ◽  
Proportional Hazards ◽  
Biomarker Discovery ◽  
Data Extraction ◽  
Cox Proportional Hazards ◽  
Research Quality ◽  
Uk Biobank ◽  
Expert Review ◽  
Cox Proportional Hazards Models ◽  
The Uk

Abstract Objectives The UK Biobank (UKB) is making primary care electronic health records (EHRs) for 500 000 participants available for COVID-19-related research. Data are extracted from four sources, recorded using five clinical terminologies and stored in different schemas. The aims of our research were to: (a) develop a semi-supervised approach for bootstrapping EHR phenotyping algorithms in UKB EHR, and (b) to evaluate our approach by implementing and evaluating phenotypes for 31 common biomarkers. Materials and Methods We describe an algorithmic approach to phenotyping biomarkers in primary care EHR involving (a) bootstrapping definitions using existing phenotypes, (b) excluding generic, rare, or semantically distant terms, (c) forward-mapping terminology terms, (d) expert review, and (e) data extraction. We evaluated the phenotypes by assessing the ability to reproduce known epidemiological associations with all-cause mortality using Cox proportional hazards models. Results We created and evaluated phenotyping algorithms for 31 biomarkers many of which are directly related to COVID-19 complications, for example diabetes, cardiovascular disease, respiratory disease. Our algorithm identified 1651 Read v2 and Clinical Terms Version 3 terms and automatically excluded 1228 terms. Clinical review excluded 103 terms and included 44 terms, resulting in 364 terms for data extraction (sensitivity 0.89, specificity 0.92). We extracted 38 190 682 events and identified 220 978 participants with at least one biomarker measured. Discussion and conclusion Bootstrapping phenotyping algorithms from similar EHR can potentially address pre-existing methodological concerns that undermine the outputs of biomarker discovery pipelines and provide research-quality phenotyping algorithms.

scholarly journals Changes in Metabolic Syndrome Status and Breast Cancer Risk: A Nationwide Cohort Study

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1177
Author(s):  
In Young Choi ◽  
Sohyun Chun ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Keun Hye Jeon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metabolic Syndrome ◽  
Proportional Hazards ◽  
Screening Program ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Health Screening Program ◽  
Design And Methods

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.

scholarly journals Pre-diagnosis neutrophil-to-lymphocyte ratio and mortality in individuals who develop lung cancer

2021 ◽  
Author(s):  
Laurie Grieshober ◽  
Stefan Graw ◽  
Matt J. Barnett ◽  
Gary E. Goodman ◽  
Chu Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Proportional Hazards ◽  
Smoking Status ◽  
Cox Proportional Hazards ◽  
Neutrophil To Lymphocyte Ratio ◽  
Blood Draw ◽  
Lymphocyte Ratio ◽  
Cox Proportional Hazards Models ◽  
Inflammatory Profile ◽  
Heavy Smokers

Abstract Purpose The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been reported to be associated with survival after chronic disease diagnoses, including lung cancer. We hypothesized that the inflammatory profile reflected by pre-diagnosis NLR, rather than the well-studied pre-treatment NLR at diagnosis, may be associated with increased mortality after lung cancer is diagnosed in high-risk heavy smokers. Methods We examined associations between pre-diagnosis methylation-derived NLR (mdNLR) and lung cancer-specific and all-cause mortality in 279 non-small lung cancer (NSCLC) and 81 small cell lung cancer (SCLC) cases from the β-Carotene and Retinol Efficacy Trial (CARET). Cox proportional hazards models were adjusted for age, sex, smoking status, pack years, and time between blood draw and diagnosis, and stratified by stage of disease. Models were run separately by histotype. Results Among SCLC cases, those with pre-diagnosis mdNLR in the highest quartile had 2.5-fold increased mortality compared to those in the lowest quartile. For each unit increase in pre-diagnosis mdNLR, we observed 22–23% increased mortality (SCLC-specific hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.02, 1.48; all-cause HR = 1.22, 95% CI 1.01, 1.46). SCLC associations were strongest for current smokers at blood draw (Interaction Ps = 0.03). Increasing mdNLR was not associated with mortality among NSCLC overall, nor within adenocarcinoma (N = 148) or squamous cell carcinoma (N = 115) case groups. Conclusion Our findings suggest that increased mdNLR, representing a systemic inflammatory profile on average 4.5 years before a SCLC diagnosis, may be associated with mortality in heavy smokers who go on to develop SCLC but not NSCLC.

scholarly journals Association Between Informant-Reported Sleep Disturbance and Incident Dementia: An Analysis of the National Alzheimer’s Coordinating Center Uniform Data Set

2020 ◽  
pp. 073346482096720
Author(s):  
Woojung Lee ◽  
Shelly L. Gray ◽  
Douglas Barthold ◽  
Donovan T. Maust ◽  
Zachary A. Marcum
Keyword(s):  
Older Adults ◽  
Sleep Disturbance ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Cognitive Screening ◽  
Cognitive Level ◽  
Data Set ◽  
Cox Proportional Hazards Models ◽  
Incident Dementia ◽  
Normal Cognition

Informants’ reports can be useful in screening patients for future risk of dementia. We aimed to determine whether informant-reported sleep disturbance is associated with incident dementia, whether this association varies by baseline cognitive level and whether the severity of informant-reported sleep disturbance is associated with incident dementia among those with sleep disturbance. A longitudinal retrospective cohort study was conducted using the uniform data set collected by the National Alzheimer’s Coordinating Center. Older adults without dementia at baseline living with informants were included in analysis. Cox proportional hazards models showed that participants with an informant-reported sleep disturbance were more likely to develop dementia, although this association may be specific for older adults with normal cognition. In addition, older adults with more severe sleep disturbance had a higher risk of incident dementia than those with mild sleep disturbance. Informant-reported information on sleep quality may be useful for prompting cognitive screening.

Patterns of Care and Outcomes of Primary Adenoid Cystic Carcinoma of the Trachea

2021 ◽  
pp. 000348942110081
Author(s):  
Sara Behbahani ◽  
Gregory L. Barinsky ◽  
David Wassef ◽  
Boris Paskhover ◽  
Rachel Kaye
Keyword(s):  
Radiation Therapy ◽  
Adenoid Cystic Carcinoma ◽  
Surgical Resection ◽  
Proportional Hazards ◽  
Invasive Disease ◽  
Cox Proportional Hazards ◽  
Tumor Diameter ◽  
Adenoid Cystic ◽  
Cox Proportional Hazards Models ◽  
Age Of Diagnosis

Objective: Primary tracheal malignancies are relatively rare cancers, representing 0.1% to 0.4% of all malignancies. Adenoid cystic carcinoma (ACC) is the second most common histology of primary tracheal malignancy, after squamous cell carcinoma. This study aims to analyze demographic characteristics and potential influencing factors on survival of tracheal ACC (TACC). Methods: This was a retrospective cohort study utilizing the National Cancer Database (NCDB). The NCDB was queried for all cases of TACC diagnosed from 2004 to 2016 (n = 394). Kaplan-Meier (KM) and Cox proportional-hazards models were used to determine clinicopathological and treatment factors associated with survival outcomes. Results: Median age of diagnosis was 56 (IQR: 44.75-66.00). Females were affected slightly more than males (53.8% vs 46.2%). The most prevalent tumor diameter range was 20 to 39 mm (34.8%) followed by greater than 40 mm in diameter (17.8%). Median overall survival (OS) was 9.72 years with a 5- and 10-year OS of 70% and 47.5%, respectively. Localized disease was not associated with a survival benefit over invasive disease ( P = .388). The most common intervention was surgery combined with radiation therapy (RT) at 46.2%, followed by surgery alone (16.8%), and standalone RT (8.9%). When adjusting for confounders, surgical resection was independently associated with improved OS (HR 0.461, 95% CI 0.225-0.946). Tumor size greater than 40 mm was independently associated with worse OS (HR 2.808; 95% CI 1.096-7.194). Conclusion: Our data suggests that surgical resection, possibly in conjunction with radiation therapy, is associated with improved survival, and tumor larger than 40 mm are associated with worse survival.

scholarly journals Total and cause-specific mortality in patients with personality disorders: the association between comorbid severe mental illness and substance use disorders

2021 ◽  
Author(s):  
Anne Høye ◽  
Bjarne K. Jacobsen ◽  
Jørgen G. Bramness ◽  
Ragnar Nesvåg ◽  
Ted Reichborn-Kjennerud ◽  
...  
Keyword(s):  
Mental Illness ◽  
Substance Use ◽  
Severe Mental Illness ◽  
Personality Disorders ◽  
Health Care Services ◽  
Causes Of Death ◽  
Proportional Hazards ◽  
Young Female ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models

Abstract Purpose To investigate the mortality in both in- and outpatients with personality disorders (PD), and to explore the association between mortality and comorbid substance use disorder (SUD) or severe mental illness (SMI). Methods All residents admitted to Norwegian in- and outpatient specialist health care services during 2009–2015 with a PD diagnosis were included. Standardized mortality ratios (SMRs) with 95% confidence intervals (CI) were estimated in patients with PD only and in patients with PD and comorbid SMI or SUD. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) with 95% CIs in patients with PD and comorbid SMI or SUD compared to patients with PD only. Results Mortality was increased in both in- and outpatients with PD. The overall SMR was 3.8 (95% CI 3.6–4.0). The highest SMR was estimated for unnatural causes of death (11.0, 95% CI 10.0–12.0), but increased also for natural causes of death (2.2, 95% CI 2.0–2.5). Comorbidity was associated with higher SMRs, particularly due to poisoning and suicide. Patients with comorbid PD & SUD had almost four times higher all-cause mortality HR than patients with PD only; young women had the highest HR. Conclusion The SMR was high in both in- and outpatients with PD, and particularly high in patients with comorbid PD & SUD. Young female patients with PD & SUD were at highest risk. The higher mortality in patients with PD cannot, however, fully be accounted for by comorbidity.

scholarly journals Added value of cardiovascular calcifications for prediction of recurrent cardiovascular events and cardiovascular interventions in patients with established cardiovascular disease

2021 ◽  
Author(s):  
Cilie C. van ’t Klooster ◽  
◽  
Yolanda van der Graaf ◽  
Hendrik M. Nathoe ◽  
Michiel L. Bots ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Heart Valve ◽  
Cardiovascular Events ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Added Value ◽  
Cvd Risk ◽  
Major Cardiovascular Events ◽  
Cox Proportional Hazards Models ◽  
Cardiovascular Interventions

AbstractThe purpose is to investigate the added prognostic value of coronary artery calcium (CAC), thoracic aortic calcium (TAC), and heart valve calcium scores for prediction of a combined endpoint of recurrent major cardiovascular events and cardiovascular interventions (MACE +) in patients with established cardiovascular disease (CVD). In total, 567 patients with established CVD enrolled in a substudy of the UCC-SMART cohort, entailing cardiovascular CT imaging and calcium scoring, were studied. Five Cox proportional hazards models for prediction of 4-year risk of MACE + were developed; traditional CVD risk predictors only (model I), with addition of CAC (model II), TAC (model III), heart valve calcium (model IV), and all calcium scores (model V). Bootstrapping was performed to account for optimism. During a median follow-up of 3.43 years (IQR 2.28–4.74) 77 events occurred (MACE+). Calibration of predicted versus observed 4-year risk for model I without calcium scores was good, and the c-statistic was 0.65 (95%CI 0.59–0.72). Calibration for models II–V was similar to model I, and c-statistics were 0.67, 0.65, 0.65, and 0.68 for model II, III, IV, and V, respectively. NRIs showed improvement in risk classification by model II (NRI 15.24% (95%CI 0.59–29.39)) and model V (NRI 20.00% (95%CI 5.59–34.92)), but no improvement for models III and IV. In patients with established CVD, addition of the CAC score improved performance of a risk prediction model with classical risk factors for the prediction of the combined endpoint MACE+ . Addition of the TAC or heart valve score did not improve risk predictions.

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