Knowledge, attitude, and practices of pharmacy students in 7 Middle Eastern countries concerning antibiotic resistance: A cross-sectional study.

Addressing antimicrobial resistance (AMR) stands as a major global health challenge threatening humanity. Resolving this issue can be initiated through emphasizing the significance of AMR education among students in health colleges during their undergraduate studies. Hence, the aim of this study is to assess the pharmacy students' knowledge, attitudes, and practices regarding antibiotic resistance in 7 Middle Eastern countries. A cross-sectional study was conducted among undergraduate pharmacy students at universities in Egypt, Jordan, Saudi Arabia, Lebanon, the United Arab Emirates, Qatar, and Kuwait between March 2021 and January 2022. The first section of the questionnaire gathered demographic information. The knowledge section comprised 7 questions. Subsequently, the questionnaire explored participants' attitudes (6 items) and practices (2 items) concerning antibiotic resistance. Mann-Whitney and Kruskal-Wallis tests were used to compare the median knowledge score between different demographic groups. Logistic regression was used to estimate odds ratios, with 95% confidence intervals (CIs) for being more knowledgeable about antibiotic resistance. A 2-sided P < .05 was considered statistically significant. A total of 4265 pharmacy students were involved in this study (Egypt (2249), Jordan (n = 704), Saudi Arabia (n = 531), Lebanon (n = 401), United Araba Emirates (n = 130), Qatar (n = 129), and Kuwait (n = 121)). The median knowledge score for the participating pharmacy students was 5.00 (IQR = 4.00-6.00) out of 7, equals to 71.4% with 4th, and 5th year students and bachelor of pharmacy program students have higher odds of being more knowledgeable about antibiotics resistance compared to other students (P < .05). The majority of the students agreed that antibiotic resistance is increasing, they should be more concerned regarding antibiotic consumption and that government should create more awareness of antibiotic resistance, and that they should have enough knowledge to prevent antibiotic resistance. Around 3 quarters of the students (73.0%) confirmed that they take antibiotic only after getting prescription from their physician and almost half (51.7%) reported that they take antibiotic to manage their fever. The study concluded good educational programs in Middle East pharmacy schools with the need for targeted educational interventions promoting responsible antibiotic stewardship practices among future pharmacists.

Augmenting Radiological Diagnostics with AI for Tuberculosis and COVID-19 Disease Detection: Deep Learning Detection of Chest Radiographs.

In this research, we introduce a network that can identify pneumonia, COVID-19, and tuberculosis using X-ray images of patients' chests. The study emphasizes tuberculosis, COVID-19, and healthy lung conditions, discussing how advanced neural networks, like VGG16 and ResNet50, can improve the detection of lung issues from images. To prepare the images for the model's input requirements, we enhanced them through data augmentation techniques for training purposes. We evaluated the model's performance by analyzing the precision, recall, and F1 scores across training, validation, and testing datasets. The results show that the ResNet50 model outperformed VGG16 with accuracy and resilience. It displayed superior ROC AUC values in both validation and test scenarios. Particularly impressive were ResNet50's precision and recall rates, nearing 0.99 for all conditions in the test set. On the hand, VGG16 also performed well during testing-detecting tuberculosis with a precision of 0.99 and a recall of 0.93. Our study highlights the performance of our deep learning method by showcasing the effectiveness of ResNet50 over traditional approaches like VGG16. This progress utilizes methods to enhance classification accuracy by augmenting data and balancing them. This positions our approach as an advancement in using state-of-the-art deep learning applications in imaging. By enhancing the accuracy and reliability of diagnosing ailments such as COVID-19 and tuberculosis, our models have the potential to transform care and treatment strategies, highlighting their role in clinical diagnostics.

AI-Driven Real-Time Classification of ECG Signals for Cardiac Monitoring Using i-AlexNet Architecture.

The healthcare industry has evolved with the advent of artificial intelligence (AI), which uses advanced computational methods and algorithms, leading to quicker inspection, forecasting, evaluation and treatment. In the context of healthcare, artificial intelligence (AI) uses sophisticated computational methods to evaluate, decipher and draw conclusions from patient data. AI has the potential to revolutionize the healthcare industry in several ways, including better managerial effectiveness, individualized treatment regimens and diagnostic improvements. In this research, the ECG signals are preprocessed for noise elimination and heartbeat segmentation. Multi-feature extraction is employed to extract features from preprocessed data, and an optimization technique is used to choose the most feasible features. The i-AlexNet classifier, which is an improved version of the AlexNet model, is used to classify between normal and anomalous signals. For experimental evaluation, the proposed approach is applied to PTB and MIT_BIH databases, and it is observed that the suggested method achieves a higher accuracy of 98.8% compared to other works in the literature.

The effect of cumulative night shift duties on insomnia, fatigue, and mental health in intensive care unit.

Background: Night shift duties are crucial in the ICU to ensure care continuity, where critically ill patients require round-the-clock care. However, cumulative night shift duties may disturb circadian rhythm, insomnia, fatigue, and depression, and require further elucidation. Objectives: This study aims to examine the negative consequences of various night shift patterns on insomnia, fatigue, and mental health of ICU Workers. Methods: A cross-sectional study examined how cumulative night shift duty affects insomnia, fatigue, and mental health in critical care providers (CCPs). Results: A total of 1006 participants completed this study between June 2022 and March 2023, including 54.5 % males. About 35 % were between 20 and 30 years of age, and Respiratory Therapists accounted for approximately 46.5 % of the entire sample. Most of our respondents (476; 47 %) reported working night shifts, with a monthly range of 8-15 nights. The prevalence rates for moderate to severe clinical insomnia, fatigue, and moderate to severe depression were 42 %, 48 %, and 32 %, respectively. CCPs working 8-15 nights had a 2-fold risk of clinical insomnia than those working fewer than eight nights with (AOR) and 95 % (CI) of 2.12 and 1.41-3.20, while those working ≥16 nights per month had a greater incidence of clinical insomnia compared to those working <8 nights per month, AOR (CI): 3.09 (1.90-5.03). Only those working ≥16-night shifts per month had a substantially higher fatigue risk compared to those working < 8-night shifts per month, with an AOR (CI) of 1.92 (1.19-3.08). Working 8-15-night shifts per month increases depression risks by 34 % compared to the <8-night shifts group, AOR (CI): 1.34 (0.87-2.08). Those working ≥16-night shifts per month showed a higher depression risk than those working <8-night shifts, AOR (CI): 2.53 (1.53-4.19). Conclusion: A cumulative night shift above eight nights per month is linked with an increased risk of insomnia, fatigue, and depression. The risk of these conditions was significantly directly proportional to the number of night shifts performed per month.

Knowledge, attitude, and adherence to coronavirus preventive measures among residents of the Kingdom of Saudi Arabia.

Since the SARS-CoV-2 virus, the virus that causes COVID-19, has been spreading globally, variants have emerged and been identified in many countries around the world. This descriptive cross-sectional study aimed to explore the level of knowledge, attitude, and adherence to coronavirus variant preventive measures among residents of the Kingdom of Saudi Arabia. This is a cross-sectional online survey that was conducted between April and November 2020 and involved the residents of the Kingdom of Saudi Arabia. An electronic invitation for participation was sent to prospective participants, including the link to the research instrument, using social media websites. A total of 780 participants responded to a 4-part online survey developed by the investigators. The findings revealed that 72.9% of the participants (95% CI: 69.6%-75.9%) had a high level of knowledge about COVID-19; 78.2% said they supported all precautionary measures put in place by health authorities; only 29% wore face masks; and 93% wash their hands at least 5 times a day. Furthermore, 69% of the residents were always covering their mouth and nose when coughing or sneezing with a piece of tissue paper, while 71% were observing physical distancing. Participants showed a positive attitude towards supporting all the precautionary measures being put in place by the health authorities and the efforts made by healthcare workers in the kingdom. Residents in Saudi Arabia showed a high level of knowledge of COVID-19 variants. Higher levels of education, being employed, and higher income were factors that influenced participants' knowledge positively (P < .05). Females and younger age were predictors of a better attitude towards COVID-19 (P < .01).The majority of the residents were afraid of the spread and mutation of the coronavirus. This study highlights the value of continuing community service learning programs for raising knowledge retention and adherence to coronavirus variant prevention strategies.

A nationwide survey of public COPD knowledge and awareness in Saudi Arabia: A population-based survey of 15,000 adults.

BACKGROUND: There is a concerning lack of representative data on chronic obstructive pulmonary disease (COPD) awareness in Saudi Arabia, and a significant proportion of the population is vulnerable to developing a smoking habit, which is a major risk factor for the disease. METHODS: Population-Based Survey of 15,000 people was conducted to assess the public knowledge and awareness of COPD across Saudi Arabia from October 2022 to March 2023. RESULTS: A total of 15002 responders completed the survey, with a completion rate of 82%. The majority 10314 (69%) were 18-30 year and 6112 (41%) had high school education. The most common comorbidities among the responders were depression (7.67%); hypertension (6%); diabetes (5.77%) and Chronic Lung Disease (4.12%). The most common symptoms were dyspnea (17.80%); chest tightness (14.09%) and sputum (11.19%). Among those who complains of any symptoms, only 16.44% had consulted their doctor. Around 14.16% were diagnosed with a respiratory disease and only 15.56% had performed pulmonary function test (PFT). The prevalence of smoking history was 15.16%, in which current smokers were 9.09%. About 48% of smokers used cigarette, 25% used waterpipe and around 27% were E-cigarette users. About 77% of the total sample have never heard about COPD. Majority of current smokers (73.5%; 1002), ex-smokers (68%; 619), and non-smokers (77.9%; 9911) are unaware of COPD, p value <0.001. Seventy five percent (1028) of the current smokers and 70% (633) of the ex-smokers have never performed PFT, p value <0.001. Male, younger age (18-30 years), higher education, family history of respiratory diseases, previous diagnosis of respiratory disease, previous PFT, and being an ex-smokers increases the odds of COPD awareness, p-value <0.05. CONCLUSION: There is a significantly low awareness about COPD in Saudi Arabia, especially among smokers. A nationwide approach must include targeted public awareness campaigns, continued healthcare professional education, community-based activities encouraging diagnosis and early detection, advice on smoking cessation and lifestyle changes, as well as coordinated national COPD screening programs.

Acute upper respiratory infections admissions in England and Wales.

Acute respiratory infections block the bronchial and/or nasal systems' airways. These infections may present in a variety of ways, from minor symptoms like the common cold to more serious illnesses like pneumonia or lung collapse. Acute respiratory infections cause over 1.3 million infant deaths under the age of 5 each year throughout the world. Among all illnesses, respiratory infections make for 6% of the worldwide disease burden. We aimed to examine the admissions related to acute upper respiratory infections admissions in England and Wales for the period between April 1999 and April 2020. This was an ecological study using publicly available data extracted from the Hospital Episode Statistics database in England, and the Patient Episode Database for Wales for the period between April 1999 and April 2020. The acute upper respiratory infections-related hospital admissions were identified using the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems 5th Edition (used by National Health Service [NHS] to classify diseases and other health conditions) (J00-J06). The total annual number of admissions for various reasons increased by 1.09-fold (from 92,442 in 1999 to 193,236 in 2020), expressing an increase in hospital admission rate of 82.5% (from 177.30 [95% confidence interval {CI}: 176.15-178.44] in 1999 to 323.57 [95%CI: 322.13-325.01] in 2020 per 100,000 persons, P < .01). The most common causes were acute tonsillitis and acute upper respiratory infections of multiple and unspecified sites, which accounted for 43.1% and 39.4%, respectively. Hospital admissions rate due to acute upper respiratory infections increased sharply during the study period. The rates of hospital admissions were higher among those in the age group below 15 and 75 years and above for the majority of respiratory infections, with a higher incidence in females.

Self-Reported Household Waste Recycling and Segregation Practices among Families in Eastern Region of Saudi Arabia: A Cross-Sectional Study.

BACKGROUND: The reuse and recycling of household waste are correlated with a household's daily activities and commonly depend on sociodemographic factors. In this study, we aimed to assess and probe the level of awareness of waste reuse and recycling, self-reported household waste recycling and segregation practices, and the variables affecting the practices of households in Al-Ahsa, Saudi Arabia. METHODS: We employed a cross-sectional study utilizing the multi-stage random sampling of 279 households and a researcher-structured, online questionnaire in English and Arabic. Data were analyzed using SPSS Version 20. Descriptive statistics was used to describe the level of awareness/practices, and inferential statistics was used to describe the correlational aspects. RESULTS: It was determined that female participants, younger participants, participants of both genders with university and postgraduate education levels, and urban residents were significantly associated with self-reported household waste segregation and recycling practices at the source. Plastics, paper, glass, food waste, textiles, and electronic waste were determined to be the most common types of household waste. A lack of expertise, awareness, demand for recycled products, and laws that support recycling was reported to affect female participants' failure to recycle. Social media, television, and educational institutions were shown to be sources of information regarding waste segregation and recycling. Therefore, awareness-raising polices must be developed to improve the prevalence, expertise, and efficiency regarding recycling and segregation. In addition, inventive methods, such as a card-based reward system, should be used to increase the demand level for recycled products.

Prevalence and Predictors of Sleep Disturbance, Anxiety and Depression among Patients with Chronic Respiratory Diseases.

BACKGROUND: Poor sleep quality, depression, and anxiety are common comorbidities among individuals with chronic respiratory diseases (CRDs). However, there has been no work to estimate their prevalence and assess their associations among the CRDs population in Saudi Arabia. METHODS: A cross-sectional study was conducted in primary healthcare centers and included a total of 390 patients. Structured self-administered questionnaires were completed that included the Sleep Quality Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Score (HADS). Multiple linear regression analyses were performed to assess the associations between patients' characteristics and sleep disturbance, anxiety and depression. RESULTS: Poor sleep quality, depression, and anxiety affect 75%, 49.2%, and 36.4% of the study participants, respectively. The PSQI was significantly correlated with anxiety (r = 0.30) and depression (r = 0.16). Furthermore, a significant correlation was found between anxiety and depression (r = 0.44). The predictors of poor sleep quality were age, gender, and family history of CRDs, education level and anxiety and these variables accounted for 0.19% of the variance in PSQI. Variables that independently predicted an increased level of depression were age, gender, marital status, family history of CRDs, diagnosis, previous hospital admission, the presence of comorbidities, dyspnea last month and anxiety. On the other hand, the variables that independently predicted an increased level of anxiety were age, BMI, family history of CRDs, previous hospital admission, the presence of comorbidities, dyspnea last month and depression. CONCLUSION: Healthcare providers managing patients with CRDs should be alert to the high prevalence of poor sleep quality, depression, and anxiety. Appropriate interventions to reduce the prevalence should be developed and timely applied.

Physiotherapists' Attitudes, and Barriers of Delivering Cardiopulmonary Rehabilitation for Patients with Heart Failure in Saudi Arabia: A Cross-Sectional Study.

Background: Cardiopulmonary rehabilitation (CR) is an effective management approach for heart failure (HF) patients and is delivered by multidisciplinary teams including physiotherapists (PTs). PT attitudes about delivering CR and barriers that might affect referral have not been explored. Thus, this study is aimed to explore PT attitudes about delivering CR programs to patients with HF and identify factors and barriers that might affect referral decisions. Methods: A cross-sectional online survey was disseminated to all PTs in Saudi Arabia between 19 February and 27 June, 2022. The characteristics of the respondents were described using descriptive statistics. Percentages and frequencies were used to report categorical variables. Results: Overall, 553 PTs, 289 (52.30%) male and 264 (47.70%) females, completed the online survey. Of these, 360 (65.1%) strongly agreed that CR would improve patients' physical fitness and 334 (60.4%) strongly agreed that CR would reduce breathlessness in patients with HF. The majority of PTs (321, 58%) strongly agreed that CR would improve HF patients' palpitation and fatigue. Out of 553 PTs, 349 (63.1%) strongly agreed that CR would improve patients' ability to perform daily activities. A hospital-supervised program was the preferred mode of delivering CR programs by 499 (90.20%) of the respondents. Apart from the exercise component, stress management was perceived by 455 (82.30%) as an essential component of CR programs. The most common patient-related factor that strongly influenced referral decisions was "fatigue related to disease" (42%). A lack of CR centers was reported by 59.90% as the most common referring barrier. Conclusion: PTs perceived CR as a successful strategy for patients with HF. Although a supervised hospital-based program with stress management as an essential component aside from the exercise component was perceived as the preferred mode of delivery, CR was lacking, which caused a significant barrier to CR referral from the PTs' perspective.

Correction: Naser et al. Knowledge and Practices during the COVID-19 Outbreak in the Middle East: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2021, 18, 4699.

The authors would like to make the following corrections about the published paper [...].

E-Cigarette Use among Male Smokers in Al-Ahsa, Kingdom of Saudi Arabia: A Cross-Sectional Study.

E-cigarette use is increasing globally. Recent evidence suggests that e-cigarettes contain harmful substances that could cause adverse health outcomes. This study investigated the prevalence and associated factors of e-cigarette use among male current smokers in Saudi Arabia. We conducted a cross-sectional survey of adult male current smokers in the Al-Ahsa province of Saudi Arabia. Data were collected using a structured questionnaire. We performed logistic regression analyses to investigate the factors associated with e-cigarette use among adult male current smokers. 325 current smokers participated in the study. A third of them (33.5%) were e-cigarette users. Almost all the study participants (97.0%) had heard about e-cigarettes. Participants who were occasional smokers (Odds Ratio (OR): 2.28; 95% Confidence Interval (CI): 1.17-4.41) and had good knowledge perception of e-cigarettes (OR 3.49; 95% CI: 2.07-5.90) had higher odds of using e-cigarettes when compared to regular smokers of conventional cigarettes and current smokers with poor knowledge perception of e-cigarettes, respectively. In contrast, private employees (OR: 0.25, 95% CI: 0.07-0.85), and business owners (OR: 0.09, 95% CI: 0.01-0.63) had lower odds of using e-cigarettes compared to unemployed individuals. Compared with non-e-cigarette users, the rate of conventional cigarette smoking per day was significantly lower among e-cigarette users. Use of e-cigarette (OR: 3.57, 95% CI: 2.14-5.98), believing that e-cigarette quitting is hard (OR: 2.02, 95% CI: 1.17-3.49) and trying to quit e-cigarettes (OR: 2.17, 95% CI: 1.1-4.25) were found to be significant predictors of good knowledge perception of e-cigarettes among the current smokers. The use and knowledge perception of e-cigarettes were higher among occasional conventional male cigarette smokers than regular male smokers in Al-Ahsa province. The use of e-cigarettes as smoking cessation aids should be examined further in the Saudi Arabian setting.

Trend of Admissions Due to Chronic Lower Respiratory Diseases: An Ecological Study.

Objective: This study aimed to examine the trend of hospital admissions related to chronic lower respiratory diseases in England and Wales between 1999 and 2020. Method: This ecological analysis used data that were made accessible to the public and were taken from the Patient Episode Database for Wales (PEDW) and the Hospital Episode Statistics (HES) databases in England for the time span between April 1999 and April 2020. The patients were grouped into four age groups: under 15, 15−59, 60−74, and 75 years and above. Results: In 2020, there were 432,193 chronic lower respiratory disease hospital admissions, which increased from 239,606 in 1999. The hospital admission rate increased by 57.5% (from 459.54 (95% CI 457.71−461.38) in 1999 to 723.70 (95% CI 721.55−725.85) in 2020 per 100,000 people, p < 0.5). The majority of hospital admissions for chronic lower respiratory diseases were found to be directly linked to age (more prevalent in the 75+ age group). Moreover, female hospital admission rates for chronic lower respiratory diseases grew by 85.2% between 1999 and 2020, increasing from 445.45 (95% CI 442.92−447.97) to 824.96 (95% CI 821.73−828.19) per 100,000 people. Conclusion: The rate of hospital admissions due to chronic lower respiratory diseases has sharply increased during the past two decades. COPD was the most common cause for chronic lower respiratory disease admissions. Ageing was also found to be a factor in increased hospital admissions. Future studies are warranted to identify other risk factors of hospital admissions due to chronic lower respiratory diseases and specifically COPD.

Knowledge and Practices during the COVID-19 Outbreak in the Middle East: A Cross-Sectional Study.

Objectives: This study aimed to assess the knowledge and practices of the general public in the Middle Eastern countries during the COVID-19 pandemic. Methods: A cross-sectional study using an online survey was conducted between the 19th of March and the 6th of April 2020 in three Middle Eastern countries (Jordan, Saudi Arabia, and Kuwait) to explore the knowledge and practices of the Middle Eastern population regarding COVID-19. A previously developed questionnaire was adapted and used for this study. Multiple linear regression analysis was used to identify predictors of COVID-19 knowledge. Results: A total of 1208 participants (members of the public) participated from the three countries (Jordan = 389, Saudi Arabia = 433, and Kuwait = 386). The majority of participants (n = 810, 67.2%) were females aged 30 to 49 years (n = 501, 41.5%). Participants had moderate overall COVID-19 knowledge, with a mean (SD) score of 7.93 (±1.72) out of 12 (66.1%). Participants had better knowledge about disease prevention and control (83.0%), whereas the lowest sub-scale scores were for questions about disease transmission routes (43.3%). High education level was an important predictor of greater COVID-19 knowledge scores (p < 0.01). Conclusions: Further public education is needed to address the relatively low level of education regarding the transmission of COVID-19 in the Middle Eastern countries. Policymakers are recommended to develop informative COVID-19 related campaigns that specifically target young people (university students), unemployed individuals, and those with lower levels of education.

Once Daily Versus Overnight and Symptom Versus Physiological Monitoring to Detect Exacerbations of Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial.

BACKGROUND: Earlier detection of chronic obstructive pulmonary disease (COPD) exacerbations may facilitate more rapid treatment with reduced risk of hospitalization. Changes in pulse oximetry may permit early detection of exacerbations. We hypothesized that overnight pulse oximetry would be superior to once-daily monitoring for the early detection of exacerbations. OBJECTIVE: This study aims to evaluate whether measuring changes in heart rate and oxygen saturation overnight is superior to once-daily monitoring of both parameters and to assess symptom changes in facilitating earlier detection of COPD exacerbations. METHODS: A total of 83 patients with COPD were randomized to once-daily or overnight pulse oximetry. Both groups completed the COPD assessment test questionnaire daily. The baseline mean and SD for each pulse oximetry variable were calculated from 14 days of stable monitoring. Changes in exacerbation were expressed as Z scores from this baseline. RESULTS: The mean age of the patients was 70.6 (SD 8.1) years, 52% (43/83) were female, and the mean FEV1 was 53.0% (SD 18.5%) predicted. Of the 83 patients, 27 experienced an exacerbation. Symptoms were significantly elevated above baseline from 5 days before to 12 days after treatment initiation. Day-to-day variation in pulse oximetry during the stable state was significantly less in the overnight group than in the once-daily group. There were greater relative changes at exacerbation in heart rate than oxygen saturation. An overnight composite score of change in heart rate and oxygen saturation changed significantly from 7 days before initiation of treatment for exacerbation and had a positive predictive value for exacerbation of 91.2%. However, this was not statistically better than examining changes in symptoms alone. CONCLUSIONS: Overnight pulse oximetry permits earlier detection of COPD exacerbations compared with once-daily monitoring. Monitoring physiological variables was not superior to monitoring symptoms, and the latter would be a simpler approach, except where there is a need for objective verification of exacerbations. TRIAL REGISTRATION: ClinicalTrials.gov NCT03003702; https://clinicaltrials.gov/ct2/show/NCT03003702.

Monitoring of Physiological Parameters to Predict Exacerbations of Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review.

INTRODUCTION: The value of monitoring physiological parameters to predict chronic obstructive pulmonary disease (COPD) exacerbations is controversial. A few studies have suggested benefit from domiciliary monitoring of vital signs, and/or lung function but there is no existing systematic review. OBJECTIVES: To conduct a systematic review of the effectiveness of monitoring physiological parameters to predict COPD exacerbation. METHODS: An electronic systematic search compliant with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted. The search was updated to April 6, 2016. Five databases were examined: Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (Medline), Excerpta Medica dataBASE (Embase), Allied and Complementary Medicine Database (AMED), Cumulative Index of Nursing and Allied Health Literature (CINAHL) and the Cochrane clinical trials database. RESULTS: Sixteen articles met the pre-specified inclusion criteria. Fifteen of these articules reported positive results in predicting COPD exacerbation via monitoring of physiological parameters. Nine studies showed a reduction in peripheral oxygen saturation (SpO2%) prior to exacerbation onset. Three studies for peak flow, and two studies for respiratory rate reported a significant variation prior to or at exacerbation onset. A particular challenge is accounting for baseline heterogeneity in parameters between patients. CONCLUSION: There is currently insufficient information on how physiological parameters vary prior to exacerbation to support routine domiciliary monitoring for the prediction of exacerbations in COPD. However, the method remains promising.