Using the Behaviour Change Wheel and modified Delphi method to identify behavioural change techniques for improving adherence to smoking cessation medications.

BACKGROUND: Medication adherence is a crucial component of the pharmacological treatment of smoking. Previous interventions targeted to improve adherence to smoking cessation medications (SCMs) were designed using pragmatic approaches. This study aims to develop a comprehensive intervention strategy to improve adherence to SCMs using the Behaviour Change Wheel (BCW) and a modified Delphi method. METHODS: Recommendations for the design of intervention strategies were based on the BCW guide and six studies conducted by the research team. Factors related to healthcare providers and consumers (person making a quit attempt) that showed associations with adherence were mapped into the Capability, Opportunity, Motivation, Behaviour (COM-B) model, and corresponding intervention functions and policy categories. Interventions were then represented using the Behaviour Change Technique Taxonomy. Finally, a modified Delphi study using 17 experts was conducted to evaluate the nominated strategies using the Acceptability, Practicability, Effectiveness, Affordability, Side-effects, and Equity (APEASE) criteria. RESULTS: Following a stepped approach, an adherence support wheel was designed to guide implementation strategies and programmes. Thirteen intervention strategies were selected. The selected interventions include providing detailed instructions on how to use SCMs; establishing realistic expectations from SCMs; and providing training for healthcare providers regarding comprehensive smoking cessation care with specifics on the provision of adherence support. CONCLUSION: The BCW guide and a modified Delphi were applied successfully to design interventions tailored to improve adherence to SCMs. Improving adherence to SCMs requires a comprehensive intervention approach involving various stakeholders. Future research is needed to assess the effectiveness of the nominated intervention strategies.

Factors associated with quitting among smoking cessation medication-assisted smokers and ex-smokers: A cross-sectional study in Australia.

Effective smoking cessation medications (SCM) are available and are recommended for the treatment of tobacco smoking. In this study, we evaluated rate and factors associated with successful quitting among individuals who supported their quit attempt using SCMs in Australia. An observational online cross-sectional survey was conducted using a convenience sample of smokers and ex-smokers in Australia. A self-administered questionnaire was used to evaluate socio-demographic, psychological, smoking, and medication use characteristics. The Fagerstrom Test for Nicotine Dependence scale was used to assess the level of nicotine addiction. Logistic regression used to identify factors associated with smoking cessation. Of the 201 respondents, 33.3% had successfully quit smoking. Nicotine replacement therapy (NRT), varenicline, and bupropion were used by 71.6%, 19.9%, and 8.5% respectively. The rate of quitting was 30.6%, 47.5%, and 23.5% for participants who used NRT, varenicline, and bupropion, respectively. Six in ten (59.6%) of the participants who were adherent to SCMs reported continuous abstinence. Whereas 22.9% reported quitting among participants who were nonadherent to SCMs. Adherence to SCMs was significantly associated with increased rate of quitting (AOR = 2.67, 95% CI of 1.17-6.10). Additionally, having smoke-free home was associated with successful smoking cessation (AOR = 2.34, 95% CI of 1.13-4.90). In conclusion, one in three participants self-reported that they successfully quit smoking. Adherence to SCMs and smoke-free home were strongly associated with quitting. Smoking cessation programs and future studies are recommended to incorporate medication adherence as a core component. Home-targeted and family-inclusive interventions are recommended to manage smoke-free homes and enhance success of quitting attempts.

Attitudes and practices of health care providers towards improving adherence to smoking cessation medications in Australia: A descriptive study.

ISSUE ADDRESSED: Adherence to smoking cessation medications is low and predicts the success of quit attempts. Health care providers (HCPs) role in delivering smoking cessation support is crucial. HCPs support to improve adherence to smoking cessation medication has not been evaluated in Australia. This study describes the attitudes and practices of HCPs in Australia towards adherence to smoking cessation medications (nicotine replacement therapies, varenicline and bupropion) and intervention options. METHODS: A descriptive cross-sectional study was conducted using a convenience sample of 70 HCPs in Australia. Participants were recruited through the social media platforms of professional societies in Australia. Data was collected in the periods between November 2020 and September 2021. Descriptive statistics were performed using SPSS statistical software version 27.0 and data was presented using proportions and percentages. RESULTS: The majority of participants were doctors, nurses and midwives (82.8%). Almost two-thirds of the participants (68.6%) self-reported that they provided adequate adherence support to individuals taking smoking cessation medications. The majority of participants (87.1%) identified adherence support service as part of their professional role. Only 11.1% of the participants who did not believe supporting medication adherence to be their role reported providing adherence support. The main perceived barriers to adherence support are lack of skill, knowledge, time and resources. HCPs believed that providing additional counselling and monitoring of adherence can improve adherence rates. CONCLUSIONS: In an online survey conducted in Australia, HCPs indicated multiple barriers to providing adherence support and intervention strategies that should be considered for smoking cessation programs. A higher proportion of participants who perceived adherence support as their professional role reported supporting adherence to smoking cessation medications. SO WHAT?: Considerations should be given to improve HCPs attitudes and practices towards smoking cessation medications adherence support. Smoking cessation programs should consider the issue of adherence support. Further studies with a larger sample size across a broader range of HCPs are needed to extensively understand adherence service provision among HCPs in Australia.

A bidirectional relationship between diabetes mellitus and anxiety: A systematic review and meta-analysis.

BACKGROUND: Due to the existence of inconsistencies in the evidence regarding the direction and extent of association between diabetes and anxiety disorders, the anxiety-diabetes comorbidity remains an issue of debate. AIM: To estimate the proportion and risk of diabetes among individuals with anxiety disorder and vice versa. METHODS: A systematic review was conducted using studies retrieved from databases and grey literature, with the last database search being conducted on April 15, 2021. The methodological rigor of studies was assessed using the National Institute of Health quality assessment tool. Prevalence and effect size (ES) estimates were pooled using a random effect model. Heterogeneity was assessed using the Higgins' I2 statistical test, and subgroup analysis conducted. RESULTS: We included 68 studies presenting data from 2,128,029 participants. The prevalence of anxiety disorders in diabetic patients was 28% (95% CI: 26%, 31%); however, subgroup analysis showed significant differences based on type of anxiety assessment scales, study location, and type of diabetes. The prevalence of diabetes among patients with anxiety disorders was 12% (95% CI: 9%, 16%). Patients with anxiety disorders were found to have a 19% higher risk of diabetes (pooled effect size (ES) = 1.19, 95% CI: 1.13, 1.26). Diabetic patients were found to have a 41% higher risk of developing anxiety disorders (ES = 1.41, 95% CI: 1.19, 1.62). CONCLUSIONS: There is a higher risk of anxiety disorders in patients with diabetes mellitus and vice versa. It is recommended to screen diabetic patients for anxiety at initial diagnosis and follow-up visits. Similarly, patients with anxiety disorders should have regular screening for diabetes. REVIEW REGISTRATION: PROSPERO registration number CRD42021252475.

Inhibition of Different Pain Pathways Attenuates Oxidative Stress in Glial Cells: A Mechanistic View on Neuroprotective Effects of Different Types of Analgesics.

Neuropathic pain results from trauma or diseases affecting the central nervous system (CNS) and triggers a cascade of events in different CNS parts that eventually lead to oxidative injury. This study was aimed to investigate the protective effects of some selected analgesics in neuropathic pain-induced oxidative damage in the isolated glial cells of the rat brain. In this experiment, rats were randomly divided into 5 main groups. Rats in group 1 received no medication, whereas rats in groups 2 to 5 received ASA (aspirin), celecoxib, morphine, and etanercept daily, respectively. Each main group divides into 3 subgroups: normal, sham, and neuropathic pain model rats. The glial cells of the rat brain were isolated at different time points. Our results demonstrate that neuropathic pain induces ROS generation as the major cause of mitochondrial membrane potential collapse (%∆Ψm) and lysosomal membrane rupture, which result in oxidative damage of the glial cells. In addition, ASA and celecoxib had protective effects on the neuropathic pain-induced oxidative stress markers, including ROS production, mitochondrial membrane potential collapse, and lysosomal membrane leakiness at different time points. Furthermore, the oxidative damage markers were significantly decreased by morphine and etanercept in all investigated days. Since arachidonic acid metabolites and TNF-α are produced during neuropathic pain and inflammation, it can be concluded that the inhibition of the substances production or inhibition of the ligands binding with their receptors would help to decrease the destructive effects of neuropathic pain in the glial cells of rat brain.

Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey.

BACKGROUND: Adherence to smoking cessation medications (SCMs) improve the rate of successful quitting. This study aimed to evaluate the level of adherence to SCMs and associated factors among smokers and ex-smokers in Australia. METHOD: A cross-sectional study using an online survey was conducted in Australia. Descriptive statistics were used to present the overall characteristics of participants. Cross-tabulation with Pearson's chi-square test was performed to evaluate the possible associations between factors. To explore barriers and facilitators of adherence to SCMs, logistic regressions were conducted. RESULTS: Among 201 participants, 57 (28.4%) were found to be adherent to SCMs. The odds of being adherent were found to be higher among participants with good social support (AOR = 3.28, 95% CI of 2.30-6.27). Participants who did not experience anxiety symptoms had higher odds of being adherent to SCMs as compared to smokers who had anxiety symptoms (AOR = 4.41, 95% CI of 3.64-14.68). Having previous experience of using SCMs improved adherence four-fold (AOR = 3.87, 95% CI of 1.11-13.44). Level of nicotine dependence showed a direct association with adherence (AOR = 3.53, 95% CI of 1.40-8.95). Not relapsing while on the medications improved adherence (AOR = 2.88, 95% CI of 1.21-6.88). CONCLUSION: In a study of smokers and ex-smokers in Australia, the self-reported level of adherence to SCMs was found to be low. Adherence was associated with social, psychological, and medication-related factors. Smoking cessation interventions are recommended to include strategies that can address medication adherence.

Health providers' and pregnant women's perspectives about smoking cessation support: a COM-B analysis of a global systematic review of qualitative studies.

BACKGROUND: Smoking cessation in pregnancy has unique challenges. Health providers (HP) may need support to successfully implement smoking cessation care (SCC) for pregnant women (PW). We aimed to synthesize qualitative data about views of HPs and PW on SCC during pregnancy using COM-B (Capability, Opportunity, Motivation, Behaviour) framework. METHODS: A systematic search of online databases (MEDLINE, EMBASE, PsycINFO and CINAHL) using PRISMA guidelines. PW's and HPs' quotes, as well as the authors' analysis, were extracted and double-coded (30%) using the COM-B framework. RESULTS: Thirty-two studies included research from 5 continents: twelve on HPs' perspectives, 16 on PW's perspectives, four papers included both. HPs' capability and motivation were affected by role confusion and a lack of training, time, and resources to provide interventions. HPs acknowledged that advice should be delivered while taking women's psychological state (capability) and stressors into consideration. Pregnant women's physical capabilities to quit (e.g., increased metabolism of nicotine and dependence) was seldom addressed due to uncertainty about nicotine replacement therapy (NRT) use in pregnancy. Improving women's motivation to quit depended on explaining the risks of smoking versus the safety of quit methods. Women considered advice from HPs during antenatal visits as effective, if accompanied by resources, peer support, feedback, and encouragement. CONCLUSIONS: HPs found it challenging to provide effective SCC due to lack of training, time, and role confusion. The inability to address psychological stress in women and inadequate use of pharmacotherapy were additional barriers. These findings could aid in designing training programs that address HPs' and PW's attitudes and supportive campaigns for pregnant smokers.

Pregnant Women Who Smoke May Be at Greater Risk of Adverse Effects from Bushfires.

Bushfires substantially increase the environmental health risks for people living in affected areas, especially the disadvantaged (e.g., those experiencing health inequities due to their socio-economic status, racial/ethnic backgrounds, geographic location and/or sexual orientation) and those with pre-existing health conditions. Pregnant women exposed to bushfire smoke are at a greater risk of adverse pregnancy and foetal outcomes, especially if they smoke tobacco, which may compound the toxic impacts. Bushfires may also exacerbate mental stress, leading to an increase in smoking. There are gaps in the evidence and more research is required on the combined effect of bushfire smoke and tobacco smoke on pregnant populations.

The effectiveness of technology-based interventions for smoking cessation: An umbrella review and quality assessment of systematic reviews.

ISSUES: With the advancement and rapid increase in the public's interest in utilisation of Internet and mobile phones, technology-based interventions are being implemented across a range of health conditions to improve patient outcomes. The aim of this review was to summarise findings from systematic reviews that evaluated the effectiveness of technology-based smoking cessation interventions and to critically appraise their methodological qualities. APPROACH: An umbrella review was conducted using studies identified from a comprehensive literature search of six databases and grey literature. All included systematic reviews were checked for eligibility criteria and quality using the Assessment of Multiple Systematic Reviews tool. The level of evidence for each intervention category was assessed, citation matrices were generated and corrected covered area was calculated. KEY FINDINGS: Five systematic reviews with a total of 212 randomised controlled trials and 237 760 participants were included. Fourteen intervention approaches were identified and classified into three categories: stand-alone web-based; stand-alone mobile phone-based and multicomponent interventions. Incorporating web and/or mobile-based interventions with face-to-face approach improved the rate of smoking cessation. However, there was no consistent evidence regarding the effectiveness of stand-alone Internet or mobile-based interventions. IMPLICATIONS: Policymakers are recommended to develop strategies that enable health professionals to integrate these approaches with face-to-face smoking cessation support. Health professionals are recommended to be trained and equipped for online and mobile-based interventions. CONCLUSION: Adding technology-based intervention to face-to-face smoking cessation support improves smoking cessation. Further research is needed to evaluate stand-alone web-based and mobile phone-based interventions.

Evaluating level of adherence to nicotine replacement therapy and its impact on smoking cessation: a systematic review and meta-analysis.

BACKGROUND: Nicotine replacement therapy (NRT) has proven effect in assisting smoking cessation. However, its effectiveness varies across studies and population groups. This may be due to differences in the rate of adherence. Hence, this review aims to examine the level of adherence to NRT and to assess if the level of adherence to NRT affects success of smoking cessation. METHODS: A systematic review and meta-analysis was conducted using studies retrieved from five electronic databases (MEDLINE, Scopus, EMBASE, Web of science, and PsycINFO) and grey literature. Pooled analysis was conducted using Stata version 16 software. Methodological quality and risk of bias were assessed using the NIH Quality Assessment Tool. Analyses were done among those studies that used similar measurements to assess level of adherence and successful smoking cessation. Heterogeneity of studies was assessed using the Higgins' I2 statistical test. Funnel plots and Egger's regression asymmetry test were used to affirm presence of significant publication bias. RESULTS: A total of 7521 adult participants of 18 years old and above from 16 studies were included in the analysis. Level of adherence to NRT among participants of randomised controlled trials were found to be 61% (95% CI, 54-68%), p-value of < 0.001 and I2 = 85.5%. Whereas 26% of participants were adherent among participants of population-based studies with 95% CI, 20-32%, p-value of < 0.001 and I2 = 94.5%. Level of adherence was the lowest among pregnant women (22%) with 95% CI, 18-25%, p-value of 0.31 and I2 = 15.8%. Being adherent to NRT doubles the rate of successful quitting (OR = 2.17, 95% CI, 1.34-3.51), p-value of < 0.001 and I2 = 77.6%. CONCLUSIONS: This review highlights a low level of adherence to NRT among participants of population-based studies and pregnant women as compared to clinical trials. Moreover, the review illustrated a strong association between adherence and successful smoking cessation. Hence, it is recommended to implement and assess large scale interventions to improve adherence. Health programs and policies are recommended to integrate the issue of adherence to NRT as a core component of smoking cessation interventions. TRIAL REGISTRATION: PROSPERO registration number: CRD42020176749 . Registered on 28 April 2020.

Socioecological Mapping of Barriers and Enablers to Smoking Cessation in Indigenous Australian Women During Pregnancy and Postpartum: A Systematic Review.

BACKGROUND: With a high prevalence of smoking during pregnancy and limited Indigenous-specific evidence for treatment, we used socioecological mapping to identify multilevel barriers and enablers to smoking cessation related to Indigenous Australian pregnant and postpartum women. METHODS: Nine electronic databases were searched. Original studies except interventions and trials, published in English, up to February 29, 2020 were included. Studies were appraised using the QualSyst tool. Evidence was narratively synthesized. The review protocol was registered with PROSPERO (CRD42019135543). RESULTS: A total of 15 studies (10 quantitative, 5 qualitative) were included, covering 1306 women, 3 partners/family members, 234 health professionals (HP), and 2755 patient records. Complex and overlapping barriers were identified at individual, family, community, societal, and system levels. Socioeconomic disadvantages, inequality, and pervasive racism as legacies of colonization, combined with personal, family, and community circumstances intensified individual experiences of stress, which may be heightened during pregnancy. Inadequate smoking cessation care (SCC), inconsistent antitobacco messages, and ineffectual HP interventions underscore a need for service enhancement and further evidence to develop culturally relevant messages. High motivation of pregnant women to quit, resilience, and supports available in the family and community are strengths that warrant attention in future interventions. CONCLUSIONS: SCC without ameliorating the social disadvantages and the disparities in health determinants between Indigenous and non-Indigenous Australian women may limit the effectiveness of SCC. A comprehensive approach is required that includes policy changes for addressing external stressors the women experience, engagement of family and community, and better training of HP and provision of free pharmacotherapy. IMPLICATIONS: To systematically address barriers to smoking cessation at multiple levels, initiatives to ameliorate social disadvantages and discrepancies in social determinants of health between Indigenous and non-Indigenous Australians are required to be taken in tandem with SCC. Initiatives may include making relevant policy changes and allocating more resources for education, employment, housing, and community development. Enhancement of knowledge, skills, and confidence of HP regarding the provision of high-quality SCC for Indigenous women and their families is warranted. Future interventions may build on high motivation, resilience, and strengths of individual women, and incorporate support strategies engaging family and community.

Barriers and Facilitators of Adherence to Nicotine Replacement Therapy: A Systematic Review and Analysis Using the Capability, Opportunity, Motivation, and Behaviour (COM-B) Model.

BACKGROUND: Poor adherence to nicotine replacement therapy (NRT) is associated with low rates of smoking cessation. Hence, this study aims to identify and map patient-related factors associated with adherence to NRT using the capability, opportunity, motivation, and behaviour (COM-B) model. METHODS: A systematic review was conducted by searching five databases (MEDLINE, Scopus, EMBASE, CINAHL, and PsycINFO) and grey literature on 30 August 2020. Data were extracted, thematically analysed, and mapped to the COM-B model. The Joanna Briggs Institute (JBI) critical appraisal tool was utilised to assess the quality of studies. RESULTS: A total of 2929 citations were screened, and 26 articles with a total of 13,429 participants included. Thirty-one factors were identified and mapped to COM-B model: psychological capability (forgetfulness, education), physical capability (level of nicotine dependence, withdrawal symptoms), reflective motivation (perception about NRT and quitting), automatic motivation (alcohol use, stress, depression), physical opportunity (cost), and social opportunity (social support). The most prominent element associated with adherence was reflective motivation followed by physical capability and automatic motivation. CONCLUSIONS: Multiple personal, social, and environmental factors affect NRT adherence. Hence, it is recommended to implement a multifaceted behavioural intervention incorporating factors categorised under the COM-B model, which is the hub of the behaviour change wheel (BCW) to improve adherence and quitting.

Evaluating level of adherence to nicotine replacement therapy and its impact on smoking cessation: a protocol for systematic review and meta-analysis.

INTRODUCTION: Nicotine replacement therapy (NRT) has proven effective for smoking cessation in clinical trials, however it was found less effective in population-based studies, potentially due to inconsistent or incorrect use of NRT. The aim of this paper is to describe a systematic review protocol to evaluate level of adherence to NRT; the discrepancy of adherence to NRT in clinical and population-based studies and degree of association between level of adherence and success of smoking cessation. METHODS AND ANALYSIS: Literature search will use five databases (Medline, Scopus, Embase, CINAHL and PsycINFO). Studies will be appraised for methodological quality using National Institutes of Health Quality Assessment Tool. To reduce heterogeneity, we will analyse clinical trials and population-based studies separately; pooled analyses will be done among studies that used similar measurements. Heterogeneity of studies will be assessed by Higgins' I2 statistical test. When studies are adequately homogeneous, results will be pooled using random-effects model with proportion and ORs with 95% CIs and p values for each outcome. We will explain sources of heterogeneity by subgroup analysis or sensitivity analysis. Funnel plots and Egger's regression asymmetry test with p<0.05 will be used as a cut-off point to affirm presence of statistically significant publication bias. Statistical analyses will be carried out using Stata V.16 software. Only studies reporting a valid strategy to control for reverse causality will be included. DISCUSSION: This review will provide evidence to support the importance of adherence on rate of smoking cessation and level of adherence to NRT. The findings will be used to inform smoking cessation interventions, researchers and policymakers. ETHICS AND DISSEMINATION: As a systematic literature review, this protocol does not require ethics approval. Research outcomes will be presented at relevant conferences and findings will be published in a relevant peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020176749.

Impact of asthma on mortality in older women: An Australian cohort study of 10,413 women.

BACKGROUND: Comorbid conditions frequently coexist with asthma in older adults and can alter the natural history of asthma, complicating management and affecting overall prognosis and survival. OBJECTIVES: This study investigates the impact of asthma on mortality among older women, with a specific interest in influence of comorbidities and social factors on survival of older women with asthma. DESIGN: Participants were from the Australian Longitudinal Study on Women's Health and were born between 1921 and 1926. Cox proportional hazards were used to evaluate mortality rates for women with and without asthma, after adjustment for comorbidities and other factors. RESULTS: Of 10,413 women aged 73-78, 829 (8%) reported having been diagnosed by a doctor for asthma. Women with asthma had a higher likelihood of heart disease, hypertension, thrombosis, bronchitis/emphysema, osteoporosis and major illnesses (p < 0.0001). Asthma was associated with increased risk of death (HR = 1.31, 95%CI 1.18-1.45, p < 0.0001). After adjusting for age, demographic factors, comorbidities, risk factors, residential area and social support, women with asthma retained a 17% increased risk of death compared to women without asthma (HR = 1.17, 95%CI 1.03-1.32, p = 0.016). CONCLUSION: Older women with asthma have a higher rate of mortality compared with other women of the same age. This increased risk of death remains after age, demographic factors, comorbidities, risk factors, residential area and social support have been taken into account.

Comparison of i-gel™ and laryngeal mask airway in anesthetized paralyzed patients.

BACKGROUND: The i-gel™ is a new device introduced recently. It differs from other supraglottic airway devices. It has a non-inflatable, gel-made cuff. Previously used devices, have some disadvantages which are claimed to be absent in i-gel™. In this study we aimed to compare the performance of the laryngeal mask airway (LMA)-Classic™ and i-gel™ during anesthesia in paralyzed patients. MATERIALS AND METHODS: A total of 64 anaesthetized patients with paralysis were enrolled in a single-blind, randomized control trial to be intubated with one of the devices. We compared the device insertion parameters, some ventilatory parameters, and adverse effects after device insertion. RESULTS: Vital signs were not significantly different between groups. Regarding duration of insertion attempts, the difference between groups was significant (P < 0.05); while the number of insertion attempts was insignificant (P = 0.265). There was no significant difference between both groups regarding postoperative complications (cough, sore throat, and blood on the cuff) (P > 0.05). Airway leak was assessed in both groups and data showed no significant difference (P = 0.662). Additionally, end-tidal CO2 change regarding the baseline value was significantly different after 10 and 15 min of anesthesia (P < 0.05). CONCLUSIONS: Successful insertion time was shorter significantly for i-gel™. As i-gel™ has easy application, it is advantageous to be used during cardiopulmonary resuscitation by non-anesthetists in which time is very important. We concluded that i-gel™ can be an alternative to LMA-Classic™ for controlled ventilation during anesthesia as it is easier to be placed.

Nonlinear model for estimating respiratory volume based on thoracoabdominal breathing movements.

BACKGROUND AND OBJECTIVE: Respiratory inductive plethysmography is a non-invasive technique for measuring respiratory function. However, there are challenges associated with using linear methods for calibration of respiratory inductive plethysmography. In this study, we developed two nonlinear models, artificial neural network and adaptive neuro-fuzzy inference system, to estimate respiratory volume based on thoracoabdominal movements, and compared these models with routine linear approaches, including qualitative diagnostic calibration and multiple linear regression. METHODS: Recordings of spirometry volume and respiratory inductive plethysmography were obtained for 10 normal subjects and 10 asthmatic patients, during asynchronous breathing for 7 min. The first 5 min of recording were used to develop the models; the remaining data were used for subsequent validation of the results. RESULTS: The results from the nonlinear models fitted the spirometry volume curve significantly better than those obtained by linear methods, particularly during asynchrony (P < 0.05). On a breath-by-breath analysis, estimates of tidal volume, total cycle time and sigh values using the artificial neural network model were accurate by comparison with qualitative diagnostic calibration. In contrast to the artificial neural network model, there was a significant correlation between values for thoracoabdominal asynchrony and increased error of qualitative diagnostic calibration (P < 0.05). CONCLUSIONS: These results indicate that the nonlinear methods can be adapted to closely simulate variable conditions and used to study the patterns of volume changes during normal and asynchronous breathing.

Preventive effect of N-acetylcysteine in a mouse model of steroid resistant acute exacerbation of asthma.

Oxidative stress appears to have an important role in glucocorticoid insensitivity, as a crucial problem in asthma therapy. We studied the preventive effect of antioxidant N-acetylcysteine (NAC) on the airway hyper-responsiveness (AHR) and the accumulation of inflammatory cells in the airways in an animal model of steroid resistant acute exacerbation of asthma. Systemically sensitized Balb/C mice were exposed to Ovalbumin aerosol on days 13, 14, 15 and 16, followed by intratracheal lipopolysaccharide (LPS) to induce acute exacerbation. NAC (intraperitoneal, 320 mg/kg 30 min before and 12 hours after each challenge) reduced hyper-responsiveness with/out dexamethasone. LPS application caused neutrophilia in bronchoalveolar lavage fluid (BALF) and eosinophil count was higher than respective control in BALF as well as neutrophils after dexamethasone treatment. NAC significantly decreased neutrophil and eosinophil count in BALF as well as inflammatory cytokines (IL-13 and IL-5).We concluded that addition of NAC to asthma therapy has beneficial preventive effects in an animal model of steroid resistant acute exacerbation of asthma.

Predicting arterial blood gas values from venous samples in patients with acute exacerbation chronic obstructive pulmonary disease using artificial neural network.

Arterial blood gas (ABG) has an important role in the clinical assessment of patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Because of ABG complications, an alternative method is beneficial. We have trained and tested five artificial neural networks (ANNs) with venous blood gas (VBG) values (pH, PCO(2), HCO(3), PO(2), and O(2) saturation) as inputs, to predict ABG values in patients with AECOPD. Venous and arterial blood samples were collected from 132 patients. Using the data of 106 patients, the ANNs were trained and validated by back-propagation algorithm. Subsequently, data from the remainder 26 patients was used for testing the networks. The ability of ANNs to predict ABG values and to detect significant hypercarbia was assessed and the results were compared with a linear regression model. Our results indicate that the ANNs provide an accurate method for predicting ABG values from VBG values and detecting hypercarbia in AECOPD.

A novel method for diagnosing cirrhosis in patients with chronic hepatitis B: artificial neural network approach.

We designed an artificial neural network (ANN) to diagnose cirrhosis in patients with chronic HBV infection. Routine laboratory data (PT, INR, platelet count, direct bilirubin, AST/ALT, AST/PLT) and age were collected from 144 patients. Cirrhosis in these patients was diagnosed by liver biopsy. The ANN's ability was assessed using receiver-operating characteristic (ROC) analysis and the results were compared with a logistic regression model. Our results indicate that the neural network analysis is likely to provide a non-invasive, accurate test for diagnosing cirrhosis in chronic HBV-infected patients, only based on routine laboratory data.