Publications by authors named "Chew R"

Background: Nirmatrelvir with ritonavir (Paxlovid) is indicated for patients with Coronavirus Disease 2019 (COVID-19) who are at risk for progression to severe disease due to the presence of one or more risk factors. Millions of treatment courses have been prescribed in the United States alone. Paxlovid was highly effective at preventing hospitalization and death in clinical trials.

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Objective: This systematic review and meta-analysis aimed to determine the implications of implant design on the outcomes of simultaneous guided bone regeneration (GBR) to correct dehiscence defects.

Methods: A structured search strategy was applied to MEDLINE (PubMed), Cochrane Library, and Embase, to identify prospective clinical trials involving implants with simultaneous GBR to correct dehiscence defects. Data regarding implant characteristics, GBR materials, as well as dehiscence defect dimensions at implant placement and surgical re-entry was collected.

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Article Synopsis
  • The study aimed to evaluate how well ChatGPT can interpret medical imaging in urology, focusing on its strengths and weaknesses as a diagnostic tool in healthcare.
  • Using cases from Radiopaedia.com, ChatGPT analyzed CT and MRI images to provide ranked differential diagnoses, assessing its accuracy with and without organ-specific guidance.
  • Results showed that while ChatGPT had low initial accuracy in diagnosing conditions, it improved significantly with organ guidance, indicating that the AI can enhance medical imaging diagnostics when given clear direction and more data.
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Aims: To determine the relationship between microbiome dysbiosis indices and biofilm immunogenicity and their prognostic implications on periodontal treatment response.

Materials And Methods: Thirty periodontally healthy controls and 30 periodontitis cases (stage III) were recruited. Cases received non-surgical periodontal therapy (NSPT), and their treatment response at 6 months was evaluated using a treat-to-target endpoint (≤ 4 sites with probing depths ≥ 5 mm).

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Post-Acute Sequelae of SARS-CoV-2 infection (PASC), also known as Long-COVID, encompasses a variety of complex and varied outcomes following COVID-19 infection that are still poorly understood. We clustered over 600 million condition diagnoses from 14 million patients available through the National COVID Cohort Collaborative (N3C), generating hundreds of highly detailed clinical phenotypes. Assessing patient clinical trajectories using these clusters allowed us to identify individual conditions and phenotypes strongly increased after acute infection.

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Introduction: Acute febrile illness (AFI), traditionally attributed to malaria, is a common reason for seeking primary healthcare in rural South and Southeast Asia. However, malaria transmission has declined while health workers are often poorly equipped to manage non-malarial AFIs. This results in indiscriminate antibiotic prescribing and care escalation, which promotes antibiotic resistance and may increase healthcare costs.

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  • - The WHO declared COVID-19 a pandemic in March 2020, and experiences from previous outbreaks like Ebola influenced various countries' responses, particularly in Africa.
  • - A study analyzed 34,225 news articles from March to August 2020, filtering for those mentioning 'Ebola', resulting in 158 articles that shared lessons learned from the Ebola outbreak relevant to COVID-19 responses.
  • - Key findings emphasized the need for trust in public health strategies, achieved by utilizing existing resources, maintaining transparency in messaging, and involving community leaders in the response efforts.
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Background: The global burden of the opportunistic fungal disease Pneumocystis jirovecii pneumonia (PJP) remains substantial. Polymerase chain reaction (PCR) on nasopharyngeal swabs (NPS) has high specificity and may be a viable alternative to the gold standard diagnostic of PCR on invasively collected lower respiratory tract specimens, but has low sensitivity. Sensitivity may be improved by incorporating NPS PCR results into machine learning models.

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  • - Periodontitis is linked to changes in oral microbiomes, specifically affecting the tongue and saliva, and this study investigates these dysbiosis effects using a specific dysbiosis index.
  • - The research analyzed data from four studies comprising 328 microbiome samples, revealing significant increases in microbial dysbiosis in saliva and subgingival biofilm among periodontitis patients, with a reliable diagnostic accuracy for periodontitis.
  • - Although the impact on tongue microbiomes needs more research, the study found that salivary dysbiosis could serve as a valuable biomarker for periodontal disease assessment.
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Introduction  The emergence of electronic cigarettes as the "healthier" version of smoking has been popular, especially among young adults. However, knowledge about the potential effects of e-cigarettes on ocular structures is scarce. Objective  To compare the mean change in dry eye parameters between e-cigarette smokers and non-smokers and to correlate between dry eye parameters with device power output.

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  • Southeast Asia is experiencing an epidemiological shift where non-communicable diseases are becoming more significant, but infectious diseases still persist alongside emerging health threats, complicating data-driven policy-making for health interventions.
  • A systematic review identified 542 relevant studies involving cross-sectional surveys from 2010 to 2021 across Bangladesh, Cambodia, Laos, Myanmar, and Thailand, highlighting the prevalence of various health conditions within these communities.
  • Non-communicable diseases were reported more frequently in the surveys than infectious diseases; however, there was a noticeable lack of studies focusing on holistic health measures, highlighting key health issues that align with prevalent causes of morbidity and mortality in the region.
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Background: Although the COVID-19 pandemic has persisted for over 3 years, reinfections with SARS-CoV-2 are not well understood. We aim to characterize reinfection, understand development of Long COVID after reinfection, and compare severity of reinfection with initial infection.

Methods: We use an electronic health record study cohort of over 3 million patients from the National COVID Cohort Collaborative as part of the NIH Researching COVID to Enhance Recovery Initiative.

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  • Post-Acute Sequelae of SARS-CoV-2 infection (PASC), or Long-COVID, involves a range of complex health outcomes that arise after COVID-19, which are still not fully understood.
  • Researchers analyzed over 600 million diagnoses from 14 million patients to create detailed clinical categories and examined patients' health outcomes over time.
  • The study identified numerous health conditions that were more prevalent in COVID-19 patients compared to non-infected individuals, highlighting specific patterns based on factors like sex, age, and severity, which may lead to better diagnostics and understanding of Long-COVID.
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Background: Patients receiving palliative care often face psychological distress, which can be challenging for clinicians to manage. Therefore, reflexive and visual journaling can be used as powerful techniques for clinician selfreflection and personal development. These journals are a form of practice wisdom, providing insights into psychological health in palliative care.

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  • Accurate data extraction is crucial for valid evidence synthesis, and recent interest in large language models (LLMs) like Claude 2 and GPT-4 has raised questions about their effectiveness for this purpose.
  • In a comparison of these two LLMs on extracting data from PDFs of systematic review articles, Claude 2 achieved high accuracy (96.3%), while GPT-4 had a lower accuracy (68.8%) mainly due to the challenges of using a third-party PDF parsing plugin.
  • Although both models performed well in identifying missing data and generating correct information, the study emphasizes the need for human verification of LLM extractions and highlights limitations such as the study’s narrow focus and potential biases in the training data.
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Background: Multiplex lateral flow rapid diagnostic tests (LF-RDTs) may aid management of patients with acute non-malarial febrile illness (NMFI) in rural south and southeast Asia. We aimed to evaluate the cost-effectiveness in Cambodia and Bangladesh of a putative, as-yet-undeveloped LF-RDT capable of diagnosing enteric fever and dengue, as well as measuring C-reactive protein (CRP) to guide antibiotic prescription, in primary care patients with acute NMFI.

Methods: A country-specific decision tree model-based cost-effectiveness analysis was conducted from a health system plus limited societal perspective considering the cost of antimicrobial resistance.

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  • - The South and Southeast Asia Community-based Trials Network (SEACTN) is conducting a survey to better understand the prevalence of various diseases among rural populations in low to middle-income countries in Southeast Asia, as part of its Rural Febrile Illness project (RFI).
  • - A cross-sectional household survey will be carried out in Bangladesh, Cambodia, and Thailand, using a two-stage cluster-sampling method to enroll about 1,500 participants per country, who will undergo interviews, physical examinations, and laboratory testing.
  • - The study, which has received ethical approval, aims to present disease prevalence data and analyze associations with sociodemographic factors, ultimately contributing to improved healthcare resource allocation in the region.
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Using nasopharyngeal (NP) swab samples instead of lower respiratory tract specimens for polymerase chain reaction (PCR) to diagnose pneumonia (PJP) may be better tolerated and improve diagnostic accessibility. In this 2-year Australian retrospective cohort study of patients with clinically suspected PJP, PCR on NP swab samples had perfect specificity but low sensitivity (0.66).

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Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to increase efficiency and accuracy of data extraction for evidence synthesis.

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Preventing and treating post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as Long COVID, has become a public health priority. In this study, we examined whether treatment with Paxlovid in the acute phase of COVID-19 helps prevent the onset of PASC. We used electronic health records from the National Covid Cohort Collaborative (N3C) to define a cohort of 426,352 patients who had COVID-19 since April 1, 2022, and were eligible for Paxlovid treatment due to risk for progression to severe COVID-19.

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Background: Community-based health programmes have been a cornerstone of primary care in Laos for decades. The study presented here aimed to document prospects for the development of current programmes, considering perceptions about health and health care priorities in the communities, implementation challenges, the policy landscape and opportunities associated with the availability of new technologies.

Methods: The research design primarily involved qualitative in-depth interviews with stakeholders (n = 35) responsible for the planning, management, or implementation of community-based care in Laos at different levels of the health system.

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In Southeast Asia malaria elimination is targeted by 2030. Cambodia aims to achieve this by 2025, driven in large part by the urgent need to control the spread of artemisinin-resistant falciparum malaria infections. Rapid elimination depends on sustaining early access to diagnosis and effective treatment.

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Introduction: To compare diagnostic accuracy of contrast-enhanced mammography (CEM) with standard 2D digital mammography (equivalent to low-energy image; LEM) for detection of multifocal and multicentric breast cancer and evaluation of tumour size and disease extent for preoperative planning.

Methods: Biopsy proven breast cancer patients who underwent CEM preoperatively between January 2021 and January 2023 were included in this study. CEM and LEM images were independently reviewed by at least two blinded readers.

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Article Synopsis
  • Deaths in lower income countries often go unrecorded, making verbal autopsy, a method to determine causes of death through interviews with family members, essential for gathering critical health data.
  • A study in Southeast Asia highlighted the importance of understanding local customs and cultural practices surrounding death to ensure emotional sensitivity during interviews.
  • Key findings included variations in mourning practices across different demographics, recommendations on timing for interviews, and the necessity for respectful community engagement to facilitate effective data collection.
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