To estimate the survival of adult and pediatric patients receiving mechanical ventilation and determine the associated risk factors. Methods: A retrospective cohort study was carried out in the intensive care unit (ICU) at King Abdulaziz Medical City (KAMC) and King Abdullah Children's Specialist Hospital (KACSH), Riyadh, Saudi Arabia. The analysis includes data from medical records of all patients admitted to ICUs who received mechanical ventilation between 2016-2018. For each patient, potential risk factors were collected. The main outcome of this study was the mortality during the stay in ICU after receiving mechanical ventilation. Results: A total of 262 adults and 175 pediatric patients were admitted to ICUs and received mechanical ventilation during the study period. For adult patients, the overall mortality was 37%, with a median survival time of 11 days (interquartile range [IQR] 6-20 days). The main risk factors independently associated with the increased mortality rate were being aged 51-60 (odds ratio [OR] 2.6, 95% confidence interval [CI] 6.7-1.0) and factors related to ICU admission. For the pediatric population, the mortality rate was 17%, with a median survival time of 16 days (IQR 7-37 days). Prematurity with respiratory problems was the main recorded cause of initiation of mechanical ventilation (50% of patients). Neonates who had mechanical ventilation within one month of their birth and were born extremely preterm had a high mortality rate after the initiation of mechanical ventilation. Conclusion: Both patient age and the causes of the initiation of mechanical ventilation were influencing the survival of patients who required mechanical ventilation.

Background: Artificial intelligence is experiencing rapid growth, with continual innovation and advancements in the health care field. Objective: This study aims to evaluate the application of artificial intelligence technologies across various domains of respiratory care. Methods: We conducted a narrative review to examine the latest advancements in the use of artificial intelligence in the field of respiratory care. The search was independently conducted by respiratory care experts, each focusing on their respective scope of practice and area of interest. Results: This review illuminates the diverse applications of artificial intelligence, highlighting its use in areas associated with respiratory care. Artificial intelligence is harnessed across various areas in this field, including pulmonary diagnostics, respiratory care research, critical care or mechanical ventilation, pulmonary rehabilitation, telehealth, public health or health promotion, sleep clinics, home care, smoking or vaping behavior, and neonates and pediatrics. With its multifaceted utility, artificial intelligence can enhance the field of respiratory care, potentially leading to superior health outcomes for individuals under this extensive umbrella. Conclusions: As artificial intelligence advances, elevating academic standards in the respiratory care profession becomes imperative, allowing practitioners to contribute to research and understand artificial intelligence’s impact on respiratory care. The permanent integration of artificial intelligence into respiratory care creates the need for respiratory therapists to positively influence its progression. By participating in artificial intelligence development, respiratory therapists can augment their clinical capabilities, knowledge, and patient outcomes.

Background: There is overwhelming evidence of improved patient outcomes as a result of early mobilization in the intensive care unit (ICU). However, several barriers of ICU mobility remain understated with reference to clinical roles. The purpose of this study is to investigate the perceived barriers of early mobility of critically ill patients among ICU healthcare providers.Methods: In this cross‐sectional study, the Mobilization Attitudes and Beliefs Survey (PMABS‐ICU) was administered to ICU healthcare providers using an online survey. The study investigated barriers related to knowledge, attitudes, and behaviors regarding ICU mobility practices. These barriers were compared among different ICU clinical roles.Results: The survey yielded a total number of 214 healthcare providers with 41% female and 59% male. Respiratory therapists reported the highest perceived barriers to ICU mobility (M 39, IQR 36, 43) % compared to physical therapists (who reported the lowest barriers), occupational therapists, nurses, and physicians (p ≤ 0.05). ICU healthcare providers’ behavior towards ICU mobility such as perceived benefits and safety is ranked as the primary barrier (M 49, IQR 42, 52) %. Professional experience did not significantly vary among all groups.Conclusion: Our findings highlight that ICU healthcare providers’ perceptions, including both potential benefits and safety concerns regarding mobility, are significant barriers to implement mobility practices. ICU mobility barriers should be tackled by providing education and training. A focused effort to include RTs and nurses could advance interdisciplinary ICU mobility practice and reduce associated barriers.

Background: Despite the advancements in chronic obstructive pulmonary disease (COPD) treatment, complications related to COPD exacerbation remain challenging. One associated factor is substance use/misuse among adults with COPD. Fewer studies, however, examined the prevalence and association between COPD and substance use and misuse. In addition, limited knowledge existed about the moderation effects of serious psychological distress and gender among adults with COPD and substance use/misuse. We aimed, therefore, to measure such prevalence, association, and moderation from nationally representative samples in the United States. Method: Data were drawn from the 2015–2019 National Survey on Drug Use and Health. Weighted logistic regressions were used to measure the associations of last-month tobacco (cigarettes, cigars, pipe, and smokeless tobacco products), other licit and illicit substance use (alcohol, marijuana, cocaine, crack, heroin, hallucinogens, and inhalants), and substance misuse (pain relievers, tranquilizers, stimulants, and sedatives) among adults with COPD. Serious psychological distress and gender were tested as moderators in the association between COPD and substance use/misuse. Results: The findings revealed that adults with COPD [_Weighted N = 53,115,718) revealed greater odds of cigarettes [adjusted odds ratio (aOR) = 2.48 (95%CI = 1.80–3.42)) and smokeless tobacco (aOR = 3.65 (95%CI = 1.75–7.65)). However, they were less likely to use alcohol (aOR = 0.61 (95%CI = 0.45–0.84)). Adults with COPD who had serious psychological distress were more likely to use pipe tobacco and alcohol; however, they were less likely to use hallucinogens and inhalants. Finally, males compared to females with COPD were less likely to use smokeless tobacco. Conclusion: Adults with COPD in the United States were more likely to use tobacco products and less likely to use alcohol. In addition, serious psychological distress and gender were moderators in associations between COPD and substance use but not in substance misuse. Future studies should longitudinally assess the factors that may contribute to the initiation and progression of substance use and misuse among adults with COPD.

Chronic obstructive pulmonary disease (COPD) is a major cause of mortality, morbidity, and high healthcare costs. While previous studies have addressed the burden of COPD at the national level, there is a lack of current data examining the prevalence of COPD with comorbidities as a predictor for hospital length of stay (LOS). This study aimed to investigate the average LOS and its predictors among patients with COPD admitted to a tertiary healthcare center. A cross-sectional study was conducted in a tertiary care healthcare center in Saudi Arabia between 2017 and 2022. Adult patients with a primary COPD diagnosis admitted at least once to the medical department during the study period were identified. Data on the demographics and co-existing comorbidities were extracted from the electronic medical records of each patient. The main outcome was the LOS among admitted patients. Linear regression analysis was conducted to examine COPD predictors among the demographic and clinical variables. This study involved 629 patients diagnosed with COPD, primarily females, with a mean age of 74 years. The median length of hospital stay was 5 days, and hypertension was the most common comorbidity among the participants (78.8%). The hospital LOS of male patients was expected to be 1.30 days longer than that of female patients (95% confidence interval, 0.15–2.77), and the hospital LOS of patients with cancer was expected to be 3 days longer than that of patients without cancer (B coefficient, 2.73; 95% confidence interval, 0.78–5.37). Male sex and cancer were strong predictors of prolonged hospitalization among patients with COPD. These findings highlight the need for healthcare providers to observe the presence of these comorbidities when managing COPD in patients to reduce their hospital stay.

Introduction: Recently, Saudi Arabia has extensively reformed its tobacco control policies and extended its smoking cessation services. A public outrage on social media among smokers was witnessed, especially after the implementation of plain cigarette packaging, which might have discredited...