Protocol implementation during the COVID-19 pandemic: experiences from a randomized trial of stress ulcer prophylaxis.

BACKGROUND: During the COVID-19 pandemic, many intensive care units (ICUs) halted research to focus on COVID-19-specific studies. OBJECTIVE: To describe the conduct of an international randomized trial of stress ulcer prophylaxis (Re-Evaluating the Inhibition of Stress Erosions in the ICU [REVISE]) during the pandemic, addressing enrolment patterns, center engagement, informed consent processes, data collection, a COVID-specific substudy, patient transfers, and data monitoring. METHODS: REVISE is a randomized trial among mechanically ventilated patients, comparing pantoprazole 40 mg IV to placebo on the primary efficacy outcome of clinically important upper gastrointestinal bleeding and the primary safety outcome of 90-day mortality. We documented protocol implementation status from March 11th 2020-August 30th 2022. RESULTS: The Steering Committee did not change the scientific protocol. From the first enrolment on July 9th 2019 to March 10th 2020 (8 months preceding the pandemic), 267 patients were enrolled in 18 centers. From March 11th 2020-August 30th 2022 (30 months thereafter), 41 new centers joined; 59 were participating by August 30th 2022 which enrolled 2961 patients. During a total of 1235 enrolment-months in the pandemic phase, enrolment paused for 106 (8.6%) months in aggregate (median 3 months, interquartile range 2;6). Protocol implementation involved a shift from the a priori consent model pre-pandemic (188, 58.8%) to the consent to continue model (1615, 54.1%, p < 0.01). In one new center, an opt-out model was approved. The informed consent rate increased slightly (80.7% to 85.0%, p = 0.05). Telephone consent encounters increased (16.6% to 68.2%, p < 0.001). Surge capacity necessitated intra-institutional transfers; receiving centers continued protocol implementation whenever possible. We developed a nested COVID-19 substudy. The Methods Centers continued central statistical monitoring of trial metrics. Site monitoring was initially remote, then in-person when restrictions lifted. CONCLUSION: Protocol implementation adaptations during the pandemic included a shift in the consent model, a sustained high consent rate, and launch of a COVID-19 substudy. Recruitment increased as new centers joined, patient transfers were optimized, and monitoring methods were adapted.

Availability and readiness of primary healthcare facilities for the management of non-communicable diseases in different districts of Punjab, Pakistan.

Introduction: Non-communicable diseases (NCDs) and their effects are rising quickly. NCDs such as cardiovascular illnesses, diabetes, cancer, and chronic lung diseases cause 60% of global deaths; of which, 80% occur in developing countries. In established health systems, primary healthcare handles most of the NCD care. Methodology: This is a mixed-method study conducted to analyze the health service availability and readiness toward NCDs using the SARA tool. It included 25 basic health units (BHUs) of Punjab, which were selected through random sampling. Quantitative data were collected using the SARA tools, while qualitative data were collected through in-depth interviews with healthcare providers working at the BHUs. Results: There was a problem of load shedding of both electricity and water in 52% of the BHUs, which leads to the poor availability of healthcare services. Only eight (32%) out of 25 BHUs provide the diagnosis or management of NCDs. The service availability was the highest for diabetes mellitus (72%), followed by cardiovascular disease (52%) and then chronic respiratory disease (40%). No services were available for cancer at the BHU level. Conclusion: This study raises issues and questions about the primary healthcare system in Punjab in two areas: first, the overall performance system, and second, the readiness of basic healthcare institutions to treat NCDs. The data show that there are many persisting primary healthcare (PHC) deficiencies. The study found a major training and resource deficit (guidelines and promotional materials). Therefore, it is important to include NCD prevention and control training in district training activities. NCDs are underrecognized in primary healthcare (PHC).

Exploring alternative approaches to precision medicine through genomics and artificial intelligence - a systematic review.

The core idea behind precision medicine is to pinpoint the subpopulations that differ from one another in terms of disease risk, drug responsiveness, and treatment outcomes due to differences in biology and other traits. Biomarkers are found through genomic sequencing. Multi-dimensional clinical and biological data are created using these biomarkers. Better analytic methods are needed for these multidimensional data, which can be accomplished by using artificial intelligence (AI). An updated review of 80 latest original publications is presented on four main fronts-preventive medicine, medication development, treatment outcomes, and diagnostic medicine-All these studies effectively illustrated the significance of AI in precision medicine. Artificial intelligence (AI) has revolutionized precision medicine by swiftly analyzing vast amounts of data to provide tailored treatments and predictive diagnostics. Through machine learning algorithms and high-resolution imaging, AI assists in precise diagnoses and early disease detection. AI's ability to decode complex biological factors aids in identifying novel therapeutic targets, allowing personalized interventions and optimizing treatment outcomes. Furthermore, AI accelerates drug discovery by navigating chemical structures and predicting drug-target interactions, expediting the development of life-saving medications. With its unrivaled capacity to comprehend and interpret data, AI stands as an invaluable tool in the pursuit of enhanced patient care and improved health outcomes. It's evident that AI can open a new horizon for precision medicine by translating complex data into actionable information. To get better results in this regard and to fully exploit the great potential of AI, further research is required on this pressing subject.