Background: Electronic health record (EHR) databases provide rich, longitudinal data on interactions with healthcare providers and can be used to advance research into respiratory conditions. However, since these data are primarily collected to support health care delivery, clinical coding can be inconsistent, resulting in inherent challenges in using these data for research purposes.
Methods: We systematically searched existing international literature and UK code repositories to find respiratory disease codelists for asthma from January 2018, and chronic obstructive pulmonary disease and respiratory tract infections from January 2020, based on prior searches. Medline searches using key terms provided in article lists. Full-text articles, supplementary files, and reference lists were examined for codelists, and codelists repositories were searched. A reproducible methodology for codelists creation was developed with recommended lists for each disease created based on multidisciplinary expert opinion and previously published literature.
Results: Medline searches returned 1126 asthma articles, 70 COPD articles, and 90 respiratory infection articles, with 3%, 22% and 5% including codelists, respectively. Repository searching returned 12 asthma, 23 COPD, and 64 respiratory infection codelists. We have systematically compiled respiratory disease codelists and from these derived recommended lists for use by researchers to find the most up-to-date and relevant respiratory disease codelists that can be tailored to individual research questions.
Conclusion: Few published papers include codelists, and where published diverse codelists were used, even when answering similar research questions. Whilst some advances have been made, greater consistency and transparency across studies using routine data to study respiratory diseases are needed.
Introduction: Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care.
Methods: This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18-85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration.
Results: Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, clinician-diagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had test-confirmed COVID-19. Risk predictors of long COVID were age ≥40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05-2.17]), female sex (adjOR=1.37 [1.02-1.85]), frailty (adjOR=2.39 [1.29-4.27]), visit to A&E (adjOR=4.28 [2.31-7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77-5.79]). Aches and pain (adjOR=1.70 [1.21-2.39]), appetite loss (adjOR=3.15 [1.78-5.92]), confusion and disorientation (adjOR=2.17 [1.57-2.99]), diarrhea (adjOR=1.4 [1.03-1.89]), and persistent dry cough (adjOR=2.77 [1.94-3.98]) were symptom features statistically more common in long COVID.
Conclusion: This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients.
Purpose: This study aims to estimate the acceptability of a future vaccine against COVID-19 and associated factors if offered in Congolese health-care workers (HCWs), since they have the highest direct exposure to the disease.
Patients and methods: We conducted an analytical cross-sectional study among 23 Congolese referral hospitals, including three university hospitals, located in three towns from March through 30 April 2020. The main outcome variable was healthcare workers' acceptance of a future vaccine against COVID-19. The associated factors of vaccination willingness were identified through a logistic regression analysis.
Results: A sample of 613 HCWs participated in the study and completed the study questionnaire, including 312 (50.9%) men and 301 (49.1%) women. Only 27.7% of HCWs said that they would accept a COVID-19 vaccine if it was available. From the logistic regression analysis, male healthcare workers (ORa=1.17, 95% CI: 1.15-2.60), primarily doctors (ORa=1.59; 95% CI:1.03-2.44) and having a positive attitude towards a COVID-19 vaccine (ORa=11.49; 95% CI: 5.88-22.46) were significantly associated with reporting willingness to be vaccinated.
Conclusion: For acceptability of vaccination against COVID-19 among others education among HCWs is crucial because health professionals' attitudes about vaccines are an important determinant of their own vaccine uptake and their likelihood of recommending the vaccine to their patients.
Background: Acute sore throat is one of the most common problems for which patients consult their general practitioner and is a key area for inappropriate antibiotic prescribing. The objective of this study was to investigate patients' attitudes related to healthcare-seeking behavior and self-management of sore throat.
Methods: We conducted an observational, questionnaire-based study across 13 countries (Australia, Brazil, China, France, Germany, Italy, the Philippines, Russia, Saudi Arabia, South Africa, Thailand, the UK and the USA) on respondents who reported having had a sore throat in the previous 12 months. Data were collected on their experiences, contact with healthcare professionals, treatment practices and opinions about antibiotics.
Results: A total of 5196 respondents (approximately 400 per country) completed the survey. Over 80% of respondents sought advice for a sore throat, with 30% consulting a general practitioner. The desire to limit the worsening of symptoms was the main reason for seeking treatment. Other reasons concerned resolving persistent symptoms and reducing the impact on daily life/sleep. Self-management for sore throat was mainly medicated sore throat remedies. "Wanting an antibiotic" was rated much lower (55%) than most other reasons for visiting a doctor, but this differed greatly between countries. The percentage of respondents using antibiotics varied widely, for example, 10% in the UK and 45% in Saudi Arabia. There was considerable variation in the proportion of respondents who thought that antibiotics would be effective against sore throat (from 24% in France to 94% in Saudi Arabia).
Conclusions: Our findings suggest that knowledge of effective treatments for sore throat varied widely. The results of this study should enable healthcare professionals to better anticipate patients' needs. This will support healthcare professionals in their role as antibiotic stewards, helping to reduce the misuse of antibiotics, and further guiding patients towards symptomatic self-management of sore throat.
Background: Approximately 5-10% of patients with asthma have severe disease. High-quality real-world studies are needed to identify areas for improved management.
Objective: Aligned with the International Severe Asthma Registry, the CHRONICLE study (ClinicalTrials.gov: NCT03373045) was developed to address this need in the US.
Study design: Learnings from prior studies were applied to develop a real-world, prospective, noninterventional study of US patients with confirmed severe asthma who are treated by subspecialist physicians and require biologic or maintenance systemic immunosuppressant therapy or who are uncontrolled by high-dosage inhaled corticosteroids and additional controllers. Target enrollment is 4000 patients, with patient observation for ≥3 years. A geographically diverse sample of allergist/immunologist and pulmonologist sites approach all eligible patients under their care and report patient characteristics, treatment, and health outcomes every 6 months. Patients complete online surveys every 1-6 months.
Initial results: From February 2018 to February 2019, 102 sites screened 1428 eligible patients; 936 patients enrolled. Study sites (40% allergist/immunologist, 42% pulmonologist, 18% both) were similar to other US asthma subspecialist samples. Enrolled patients were 67% female with median ages at enrollment and diagnosis of 55 (range: 18-89) and 26 (0-80) years, respectively. Median body mass index was 31 kg/m2; 3% and 29% were current or former smokers, respectively, and >60% reported ≥1 exacerbation in the prior year and suboptimal symptom control.
Conclusion: CHRONICLE will provide high-quality provider- and patient-reported data from a large, real-world cohort of US adults with subspecialist-treated severe asthma.
Introduction: There are many options available to patients who are placed on constant positive airway pressure (CPAP) for obstructive sleep apnea. Despite the success of CPAP in correcting apnea, a significant number of patients have difficulty with the therapy. A large number of those patients who have difficulty stop therapy and are often labeled as "CPAP Failure". Non-sleep specialists may view CPAP therapy as a singular course of treatment, but there are many ways CPAP may be ordered for a patient. Each patient experiences a unique set of options that constitute a unique order set.
Methods: In order to demonstrate the magnitude of the possible options, estimates of the number of unique order sets were calculated. The author chose individual order options and the number of selections possible within each option. The calculated sets included a "Generous, Limited and Minimal" number of selections for each option. Calculations were done separately for standard CPAP and for auto-adjusting CPAP. Additional calculations were performed using the number of commercially available masks in the United States.
Results: The maximum number of unique order sets was seen using a standard CPAP combined with commercially available masks: 49,152 unique order sets. The fewest number of unique order sets were seen with the auto-adjusting CPAP and the "Minimal" selections: 288 unique order sets.
Discussion: There are a large number of unique CPAP orders that a patient may experience. CPAP treatment is not a singular or simple therapy. When evaluating obstructive sleep apnea patients with histories of CPAP failure or prior difficulty with CPAP, paying close attention to the patient's treatment experiences may help explain a significant number of those patients' CPAP therapy problems.
Purpose: Chronic obstructive pulmonary disease (COPD) and heart failure (HF) often occur concomitantly, presenting diagnostic and therapeutic challenges for clinicians. We examined the characteristics of patients prescribed adequate versus inadequate therapy within 3 months after newly diagnosed comorbid COPD or HF.
Patients and methods: Eligible patients in longitudinal UK electronic medical record databases had pre-existing HF and newly diagnosed COPD (2017 GOLD groups B/C/D) or pre-existing COPD and newly diagnosed HF. Adequate COPD therapy was defined as long-acting bronchodilator(s) with/without inhaled corticosteroid; adequate HF therapy was defined as beta-blocker plus angiotensin-converting enzyme inhibitor and/or angiotensin receptor blocker.
Results: Of 2439 patients with HF and newly diagnosed COPD (mean 75 years, 61% men), adequate COPD therapy was prescribed for 726 (30%) and inadequate for 1031 (42%); 682 (28%) remained untreated for COPD. Adequate (vs inadequate) COPD therapy was less likely for women (35%) than men (45%), smokers (36%) than ex-/non-smokers (45%), and non-obese (41%) than obese (47%); spirometry was recorded for 57% prescribed adequate versus 35% inadequate COPD therapy. Of 12,587 patients with COPD and newly diagnosed HF (mean 75 years, 60% men), adequate HF therapy was prescribed for 2251 (18%) and inadequate for 5332 (42%); 5004 (40%) remained untreated for HF. Adequate (vs inadequate) HF therapy was less likely for smokers (27%) than ex-/non-smokers (32%) and non-obese (30%) than obese (35%); spirometry was recorded for 65% prescribed adequate versus 39% inadequate HF therapy.
Conclusion: Many patients with comorbid COPD/HF receive inadequate therapy after new diagnosis. Improved equity of access to integrated care is needed for all patient subgroups.
Objective: To evaluate the long-term safety and effectiveness of tadalafil in Japanese men with lower urinary tract symptoms secondary to benign prostatic hyperplasia in real-world clinical practice; and to investigate the safety profile in patients aged ≥75 years.
Patients and methods: This was a prospective, non-interventional, multicenter, post-marketing surveillance study in which Japanese patients with lower urinary tract symptoms secondary to benign prostatic hyperplasia were observed for up to 18 months after initiating tadalafil treatment. The real-world safety and effectiveness outcomes were assessed at baseline and at 1, 3, 6, 12, and 18 months post-treatment or the last day of treatment.
Results: Most patients received tadalafil 5 mg per day throughout the observation period. Among 1393 patients analyzed for safety, the overall incidence of adverse drug reactions was 8.3%. These adverse drug reactions were generally consistent with the known safety profile of tadalafil and no new safety risks were identified in long-term use. There was no statistical difference in the frequency of adverse drug reactions between patients aged <75 and ≥75 years. The mean change in total International Prostate Symptom Score (IPSS) and IPSS-quality of life subscore was significantly improved at each timepoint. At 18 months, IPSS had improved by 5.0 points (P < 0.001) and IPSS-quality of life subscore had improved by 1.5 points (P < 0.001). The mean change in post-voiding residual urine volume from baseline was significant at each time point and was -9.8 mL at 18 months (P < 0.001); there were no significant differences from baseline in maximum urinary flow rate.
Conclusion: This surveillance demonstrated that tadalafil has favorable safety and effectiveness profiles for long-term use in Japanese men with lower urinary tract symptoms secondary to benign prostatic hyperplasia. In addition, safety profiles in patients aged ≥75 years were similar to patients aged <75 years.
Background: As real-world data resources expand and improve, there will increasingly be opportunities to study the effectiveness of interventions. There is a need to ensure that study designs explore potential sources of bias and either acknowledge or mitigate them, in order to improve the accuracy of findings. The objective of this study was to understand newly approved drug utilization patterns in real-world clinical settings over time.
Methods: This retrospective study included three sources of real-world data (claims, electronic health records, and recoded data from a quality care program) collected from patients diagnosed with gastric cancer who initiated therapy with either trastuzumab or ramucirumab. Linear regression was used to investigate trends in the use of these drugs for the care of patients with gastric cancer over time from Food and Drug Administration (FDA) approval.
Results: Eligible patients (n=1700) had consistent demographic and clinical characteristics over time. After regulatory approval, trastuzumab was used in later lines of therapy and then shifted to earlier lines (p=0.002), while ramucirumab utilization remained consistent over time after FDA approval (p=0.49). Ramucirumab augmentation, defined as the addition of the drug after initiation of a line of therapy, decreased over time (p=0.03), and trastuzumab augmentation remained consistent over time (p=0.58).
Conclusion: Since treatment effectiveness may change across lines of treatment, bias may arise if there are changes in the use of the drug (such as line migration) during the time period of analysis using real-world data.
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