<i>Purpose</i>. The aim of this study was to compare the metabolic load between adaptive support ventilation (ASV) and pressure support ventilation (PSV) modes in critically ill patients. <i>Methods</i>. Sequential 20 min ventilation by PSV followed by 20 min ASV in critically ill patients was assessed. ASV was set for full support, i.e., with the minute volume control set at the same level as the minute volume observed during PSV. The trial started from PSV 8 cmH<sub>2</sub>O and continued with high (PSV 12 cmH<sub>2</sub>O) to low (PSV 0) conditions or low to high conditions, in random order. The oxygen consumption (<span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.18146pt" id="M1" height="11.9348pt" version="1.1" viewBox="-0.0498162 -8.75334 23.9668 11.9348" width="23.9668pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g190-87" d="M687 650H462V622C543 612 549 605 530 547C498 447 422 252 372 126H370C302 298 229 492 204 563C188 607 191 615 262 622V650H17V622C77 616 93 608 122 534C180 389 262 172 329 -11H360C436 196 541 450 568 516C606 605 619 614 687 622V650Z"/></g><g transform="matrix(.013,0,0,-0.013,9.173,0)"><path id="g190-80" d="M381 665C170 665 44 498 44 318C44 125 188 -15 369 -15C552 -15 703 117 703 333C703 534 550 665 381 665ZM359 629C491 629 601 517 601 306C601 114 502 21 390 21C249 21 146 158 146 346S248 629 359 629Z"/></g><g transform="matrix(.0091,0,0,-0.0091,18.921,3.132)"><path id="g50-51" d="M414 144C384 79 371 75 317 75H135L276 221C367 316 408 376 408 465C408 570 327 635 237 635C179 635 131 609 100 575L42 494L67 471C94 510 138 565 205 565C277 565 321 517 321 435C321 348 258 270 195 195C146 137 88 81 33 26V0H411C423 44 433 88 446 135L414 144Z"/></g></svg>),</span> production of carbon dioxide (<span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.18146pt" id="M2" height="11.9348pt" version="1.1" viewBox="-0.0498162 -8.75334 32.7355 11.9348" width="32.7355pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g190-87"/></g><g transform="matrix(.013,0,0,-0.013,9.173,0)"><path id="g190-68" d="M614 175C564 76 510 21 408 21C256 21 146 149 146 336C146 488 235 629 402 629C510 629 570 586 597 480L626 488C620 541 614 582 606 638C578 643 510 665 429 665C206 665 44 527 44 316C44 157 153 -15 402 -15C474 -15 558 5 586 11C604 45 629 119 643 165L614 175Z"/></g><g transform="matrix(.013,0,0,-0.013,17.91,0)"><use xlink:href="#g190-80"/></g><g transform="matrix(.0091,0,0,-0.0091,27.689,3.132)"><use xlink:href="#g50-51"/></g></svg>),</span> and energy expenditure (EE) were measured by indirect calorimetry (IC). <i>Results</i>. Twenty-four patients with critical illness participated in the study. Comparing with the PSV mode, the EE in the ASV mode was lower in the level of PSV 0 cmH<sub>2</sub>O (1069 ± 73 vs. 1425 ± 76 kcal), PS 8 cmH<sub>2</sub>O (1116 ± 70 vs. 1284 ± 61 kcal), and PS 12 cmH<sub>2</sub>O (1017 ± 70 vs. 1169 ± 58 kcal) (<span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42938pt" id="M3" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 44.5261 11.7782" width="44.5261pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><path id="g117-91" d="M512 -3V55L134 254V256L512 456V514L75 281V230L512 -3Z"/></g><g transform="matrix(.013,0,0,-0.013,22.605,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><path id="g113-54" d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z"/></g></svg>).</span> The <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.18146pt" id="M4" height="11.9348pt" version="1.1" viewBox="-0.0498162 -8.75334 23.9668 11.9348" width="23.9668pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g190-87"/></g><g transform="matrix(.013,0,0,-0.013,9.173,0)"><use xlink:href="#g190-80"/></g><g transform="matrix(.0091,0,0,-0.0091,18.921,3.132)"><use xlink:href="#g50-51"/></g></svg>,</span> <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.18146pt" id="M5" height="11.9348pt" version="1.1" viewBox="-0.0498162 -8.75334 32.7355 11.9348" width="32.7355pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g190-87"/></g><g transform="matrix(.013,0,0,-0.013,9.173,0)"><use xlink:href="#g190-68"/></g><g transform="matrix(.013,0,0,-0.013,17.91,0)"><use xlink:href="#g190-80"/></g><g transform="matrix(.0091,0,0,-0.0091,27.689,3.132)"><use xlink:href="#g50-51"/></g></svg>,</span> and P0.1 in PSV were significantly higher than those in ASV (<span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42938pt" id="M6" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 44.5261 11.7782" width="44.5261pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-91"/></g><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><use xlink:href="#g113-54"/></g></svg>).</span> <i>Conclusion</i>. In patients with critical illness, the application of ASV set for full support was associated with a lower metabolic load and respiratory drive than in any of the studied PSV conditions.

Yen-Huey Chen

Hsiu-Feng Hsiao

Hui-Wen Hsu

Hsiu-Ying Cho

Chung-Chi Huang

Comparisons of Metabolic Load between Adaptive Support Ventilation and Pressure Support Ventilation in Mechanically Ventilated ICU Patients

<i>Objective</i>. This study aims to explore the role of erythromycin-regulated histone deacetylase-2 in benign tracheal stenosis. <i>Methods</i>. The rabbit model of tracheal stenosis was established. The rabbits were randomly divided into 8 groups. Histone deacetylase-2 (HDAC2) expression was detected by immunofluorescence. The expression of type I collagen and type III collagen was detected by immunohistochemical method. The expression of TGF-<i>β</i>1, VEGF and IL-8 in serum and alveolar lavage fluid was detected by ELISA. The expression of HDAC2, TGF-<i>β</i>1, VEGF and IL-8 in bronchi of each group was detected by Western blotting method. <i>Results</i>. In Erythromycin (ERY) group, ERY + Budesonide group, ERY + Vorinostat group and ERY + Budesonide + Vorinostat group, the degree of bronchial stenosis was alleviated, and the mucosal epithelium was still slightly proliferated. The effect of ERY combined with other drugs was more obvious. The HDAC2 protein expression increased significantly in ERY group, ERY + Budesonide group and ERY + Budesonide + Vorinostat group and decreased significantly in Vorinostat group, the expression of collagen I and III decreased significantly in ERY group, ERY + Budesonide group and ERY + Budesonide + Vorinostat group (<span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.6370001pt" id="M1" height="9.2729pt" version="1.1" viewBox="-0.0498162 -8.6359 44.8393 9.2729" width="44.8393pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-81" d="M600 480C600 590 528 650 384 650H143L137 622C222 614 225 607 210 531L130 127C113 41 106 36 23 28L17 0H294L300 28C204 36 195 42 212 127L243 284L314 263C327 263 339 263 352 264C465 271 600 337 600 480ZM508 481C508 351 402 304 329 304C289 304 265 311 250 317L295 559C302 594 310 606 323 611C335 616 350 619 367 619C455 619 508 573 508 481Z"/></g><g transform="matrix(.013,0,0,-0.013,11.658,0)"><path id="g117-91" d="M512 -3V55L134 254V256L512 456V514L75 281V230L512 -3Z"/></g><g transform="matrix(.013,0,0,-0.013,22.921,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,29.161,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,32.125,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.365,0)"><path id="g113-54" d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z"/></g></svg>).</span> The TGF-<i>β</i>1, IL-8 and VEGF levels decreased significantly in ERY group, ERY + Budesonide group, ERY + Vorinostat group and ERY + Budesonide + Vorinostat group (<span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.6370001pt" id="M2" height="9.2729pt" version="1.1" viewBox="-0.0498162 -8.6359 44.8393 9.2729" width="44.8393pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-81"/></g><g transform="matrix(.013,0,0,-0.013,11.658,0)"><use xlink:href="#g117-91"/></g><g transform="matrix(.013,0,0,-0.013,22.921,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,29.161,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,32.125,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.365,0)"><use xlink:href="#g113-54"/></g></svg>).</span> <i>Conclusions</i>. Erythromycin inhibited inflammation and excessive proliferation of granulation tissue after tracheobronchial mucosal injury by up-regulating the expression of HDAC2, it promoted wound healing and alleviated tracheobronchial stenosis. When combined with budesonide, penicillin and other glucocorticoids and antibiotics, it had a good synergistic effect. However, vorinostat could attenuate erythromycin’s effect by down-regulating the expression of HDAC2. It may have good clinical application prospects in the treatment of tracheal stenosis.

Zhenjie Huang

Peng Wei

Luoman Gan

Tonghua Zeng

Caicheng Qin

Guangnan Liu

Role of Erythromycin-Regulated Histone Deacetylase-2 in Benign Tracheal Stenosis

<i>Background</i>. There is a growing number of patients with sleep-disordered breathing (SDB) referred to sleep clinics. Therefore, a simple but useful screening tool is urgent. The NoSAS score, containing only five items, has been developed and validated in population-based studies. <i>Aim</i>. To evaluate the performance of the NoSAS score for the screening of SDB patients from a sleep clinic in China, and to compare the predictive value of the NoSAS score with the STOP-Bang questionnaire. <i>Methods</i>. We enrolled consecutive patients from a sleep clinic who had undergone apnea-hypopnea index (AHI) testing by type III portable monitor device at the hospital and completed the STOP-Bang questionnaire. The NoSAS score was assessed by reviewing medical records. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC) of both screening tools were calculated at different AHI cutoffs to compare the performance of SDB screening. <i>Results</i>. Of the 596 eligible patients (397 males and 199 female), 514 were diagnosed with SDB. When predicting overall (AHI ≥ 5), moderate-to-severe (AHI ≥ 15), and severe (AHI ≥ 30) SDB, the sensitivity and specificity of the NoSAS score were 71.2, 80.4, and 83.1% and 62.4, 49.3, and 40.7%, respectively. At all AHI cutoffs, the AUC ranged from 0.688 to 0.715 for the NoSAS score and from 0.663 to 0.693 for the STOP-Bang questionnaire. The NoSAS score had the largest AUC (0.715, 95% CI: 0.655–0.775) of diagnosing SDB at AHI cutoff of ≥5 events/h. NoSAS performed better in discriminating moderate-to-severe SDB than STOP-Bang with a marginally significantly higher AUC (0.697 vs. 0.663, <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.2064009pt" id="M1" height="8.8423pt" version="1.1" viewBox="-0.0498162 -8.6359 51.1027 8.8423" width="51.1027pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-81" d="M600 480C600 590 528 650 384 650H143L137 622C222 614 225 607 210 531L130 127C113 41 106 36 23 28L17 0H294L300 28C204 36 195 42 212 127L243 284L314 263C327 263 339 263 352 264C465 271 600 337 600 480ZM508 481C508 351 402 304 329 304C289 304 265 311 250 317L295 559C302 594 310 606 323 611C335 616 350 619 367 619C455 619 508 573 508 481Z"/></g><g transform="matrix(.013,0,0,-0.013,11.658,0)"><path id="g117-34" d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"/></g><g transform="matrix(.013,0,0,-0.013,22.921,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,29.161,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,32.125,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.365,0)"><path id="g113-53" d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z"/></g><g transform="matrix(.013,0,0,-0.013,44.605,0)"><path id="g113-55" d="M137 343C167 482 260 545 321 574C357 591 397 603 429 609L423 641C382 634 335 622 295 608C189 570 37 457 37 238C37 84 125 -12 242 -12C362 -12 447 89 447 209C447 311 374 393 267 393C247 393 226 386 204 376L137 343ZM227 337C318 337 361 256 361 173C361 105 336 22 258 22C176 22 126 120 126 240C126 266 127 291 132 310C155 323 189 337 227 337Z"/></g></svg>).</span> <i>Conclusion</i>. The NoSAS score had good performance on the discrimination of SDB patients in sleep clinic and can be utilized as an effective screening tool in clinical practice.

Yi Rong

Shihan Wang

Hui Wang

Feng Wang

Jingjing Tang

Xiuhong Kang

Guangxi Li

Zhiguo Liu

Validation of the NoSAS Score for the Screening of Sleep-Disordered Breathing in a Sleep Clinic

<i>Background</i>. Lifestyle maintenance is a crucial condition before and after lung cancer disease. According to the previous research in the scientific databases, the effect of the interaction between socioeconomic and demographic factors on the lifestyle of lung cancer patients in Southern Morocco regions remains unexamined. Accordingly, this study was designed to examine the relationship between socioeconomic factors, demographic factors, and the lifestyle of lung cancer patients. <i>Methods</i>. A total of 133 patients with lung cancer were divided into 103 men and 30 women with a sex ratio of 3.43 and ages varying between 28 and 82 years, and they served as informants for the study and filled in a questionnaire to provide information on their sociodemographic background, various economic characteristics, and their lifestyle. These patients have also been submitted to an anthropometric examination following the standardized procedure recommended by the World Health Organization. The survey was conducted from July 2013 to March 2015 at the Oncology and Radiotherapy Department, at Mohammed VI Hospital Center in Marrakech, Morocco. <i>Results</i>. The preliminary results showed that the average age of patients was 59&#x2009;&#xb1;&#x2009;9 years. A proportion of 81&#x0025; lived in the Marrakech-Safi region and 19&#x0025; lived in four other southern regions. Among the patients, 6&#x0025; were smokers, while 14&#x0025; were nonsmokers and 80&#x0025; were ex smokers. Following the discovery of the disease, 26&#x0025; revealed that they had sleep disorders and 98&#x0025; were reported to have a lack of appetite. Obesity, normal weight, and underweight were also taken as criteria to categorize the patients; thus, obese informants represented 23&#x0025; of the total number, those having normal weight reached 67&#x0025; and the patients having underweight represented 10&#x0025;. <i>Conclusion</i>. Sociodemographic variables and various economic characteristics were shown to have a negative impact on the lifestyle of lung cancer patients.

Imane Harkati

Mohamed Kamal Hilali

Nezha Oumghar

Mouna Khouchani

Mohamed Loukid

Lifestyle and Sociodemographic and Economic Characteristics of Patients with Lung Cancer in Morocco

<i>Background</i>. The pulmonary rehabilitation (PR) is beneficial for COPD patients. Due to the poor rate of adherence, we evaluate the factors which will predict the nonadherence of PR. <i>Method</i>. We analyzed the data from a retrospective study of COPD patients who were enrolled to attend the PR program. Patients were classified as the adherence group and the nonadherence group according to completion of over 50% sessions during the 8-week PR program. Demographic characteristics, 6-minute walking distance (6MWD), COPD assessment test (CAT), modified Medical Research Council scale (mMRC), and emotional function were compared between two groups. Univariate and multivariable analyses were performed to determine the factors of poor adherence of PR. <i>Results</i>. Among 418 patients, 170 patients (40.7%) who completed less than 50% sessions of the PR program were categorized as “nonadherence.” Compared to completers, “nonadherence” patients had more cigarette consumption, higher emotional score, less 6MWD, more exacerbation, using nebulizer frequently, and higher rate of smoking at enrollment. On multivariate analysis, more exacerbation frequency (odds ratio (OR) = 1.434, 95% confidence interval (CI): 1.191∼1.796, <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.2064009pt" id="M1" height="8.8423pt" version="1.1" viewBox="-0.0498162 -8.6359 51.1027 8.8423" width="51.1027pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-81" d="M600 480C600 590 528 650 384 650H143L137 622C222 614 225 607 210 531L130 127C113 41 106 36 23 28L17 0H294L300 28C204 36 195 42 212 127L243 284L314 263C327 263 339 263 352 264C465 271 600 337 600 480ZM508 481C508 351 402 304 329 304C289 304 265 311 250 317L295 559C302 594 310 606 323 611C335 616 350 619 367 619C455 619 508 573 508 481Z"/></g><g transform="matrix(.013,0,0,-0.013,11.658,0)"><path id="g117-34" d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"/></g><g transform="matrix(.013,0,0,-0.013,22.921,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,29.161,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,32.125,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.365,0)"><path id="g113-53" d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z"/></g><g transform="matrix(.013,0,0,-0.013,44.605,0)"><path id="g113-55" d="M137 343C167 482 260 545 321 574C357 591 397 603 429 609L423 641C382 634 335 622 295 608C189 570 37 457 37 238C37 84 125 -12 242 -12C362 -12 447 89 447 209C447 311 374 393 267 393C247 393 226 386 204 376L137 343ZM227 337C318 337 361 256 361 173C361 105 336 22 258 22C176 22 126 120 126 240C126 266 127 291 132 310C155 323 189 337 227 337Z"/></g></svg>)</span> and smoking at enrollment (OR = 3.349, 95% CI: 1.194∼6.302, <span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.2064009pt" id="M2" height="8.8423pt" version="1.1" viewBox="-0.0498162 -8.6359 51.1027 8.8423" width="51.1027pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-81"/></g><g transform="matrix(.013,0,0,-0.013,11.658,0)"><use xlink:href="#g117-34"/></g><g transform="matrix(.013,0,0,-0.013,22.921,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,29.161,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,32.125,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.365,0)"><path id="g113-50" d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"/></g><g transform="matrix(.013,0,0,-0.013,44.605,0)"><path id="g113-51" d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z"/></g></svg>)</span> were predict factors associated with nonadherence of PR. <i>Conclusion</i>. COPD patients with frequent exacerbation and smoking currently were more likely to be nonadherence during PR.

Yi Li

Hongyu Qian

Kewei Yu

Ying Huang

Nonadherence in Home-Based Pulmonary Rehabilitation Program for COPD Patients

Tobacco smoking has been found associated with lower cardiorespiratory fitness in white and black males; however, few studies have not been conducted to clarify such relationship in Asian males. We performed a cross-sectional study to investigate the association between tobacco smoking status and physical fitness in 3,669 military males, averaged 29.4 years of age, from the cardiorespiratory fitness and hospitalization events in armed forces (CHIEF) study in Taiwan during 2014. There were 1,376 current smokers, and the others were noncurrent smokers. The effective sample size estimated was 1,230 participants, as the margin of error was &#xb1;3&#x0025; at the 99&#x0025; confidence level. Physical fitness was evaluated by time for a 3000-meter run test (aerobic fitness) and repetitive numbers of 2-minute sit-ups and 2-minute push-ups (anaerobic fitness) where all procedures were standardized by using computerized scoring systems. A multiple linear analysis adjusting for age, service specialty, body mass index, heart rate, alcohol intake, and training frequency was used to determine the relationship. As compared with noncurrent smoking, current smoking was inversely correlated with longer time for a 3000-meter run (<i>&#x3b2;</i>&#x2009;&#x3d;&#x2009;15.66 (95&#x0025; confidence intervals (CI): 10.62, 20.70)) and fewer repetitive numbers of 2-minute sit-ups and 2-minute push-ups (<i>&#x3b2;</i>&#x2009;&#x3d;&#x2009;&#x2212;1.53 (95&#x0025; CI: &#x2212;2.08, &#x2212;0.97) and &#x2212;1.31 (95&#x0025; CI: &#x2212;2.12, &#x2212;0.50), respectively). Our finding reconfirms the concept that tobacco smoking might reduce both aerobic and anaerobic fitness among young Asian males.

Fang-Ying Su

Sheng-Huei Wang

Henry Horng-Shing Lu

Gen-Min Lin

Association of Tobacco Smoking with Physical Fitness of Military Males in Taiwan: The CHIEF Study

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<p><em>Canadian Respiratory Journal</em> provides a multidisciplinary forum for research in all areas of respiratory medicine. The journal publishes research related to asthma, allergy, COPD, non-invasive ventilation, therapeutic intervention etc.</p>


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<p>Chief Editor, Dr Alice M Turner, is based at the University of Birmingham, UK. Her main research interests are the clinical aspects of alpha 1 antitrypsin deficiency and chronic obstructive pulmonary disease.</p>


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Canadian Respiratory Journal - Table of contents 2020

title

Canadian Respiratory Journal provides a multidisciplinary forum for research in all areas of respiratory medicine. The journal publishes research related to asthma, allergy, COPD, non-invasive ventilation, therapeutic intervention etc.

Canadian Respiratory Journal