Publications by authors named "Jenna Wong"

Children with otitis media who are referred to paediatric otorhinolaryngology (ORL) departments often experience significant delays in treatment. Alternate models of care utilising audiologists with extended scopes of practice can potentially improve outcomes in services experiencing difficulties with high demand and insufficient ORL capacity. An Advanced Audiology Practitioner (AAP) service was implemented in Counties Manukau to combat known long wait times for children with otitis media.

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Background: Prognostic models help aid medical decision-making. Various prognostic models are available via websites such as MDCalc, but these models typically predict one outcome, for example, stroke risk. Each model requires individual predictors, for example, age, lab results and comorbidities.

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Article Synopsis
  • Most drug repurposing studies focus on validating existing ideas, but this study aimed to generate new hypotheses for sodium-glucose cotransporter-2 inhibitors (SGLT2i) using advanced statistical methods.
  • The researchers created a matched cohort of SGLT2i users and dipeptidyl peptidase-4 inhibitors (DPP4i) to analyze a large dataset of patient outcomes, identifying potential associations.
  • They found 18 notable signals that could indicate new uses for SGLT2i, including significant links to chronic kidney disease and anemia, which align with recent approvals but need further research for confirmation.*
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Purpose: Cancer of unknown primary (CUP) is a syndrome comprising metastatic cancers without a clinically identified primary site. Although patients with CUP have an unfavorable prognosis, treatment with site-specific therapies guided by clinical features, standard pathology, and molecular assays can improve overall survival. The 92-gene assay (CancerTYPE ID) is a gene expression-based classifier that helps identify the tissue of origin for metastatic cancers with unknown or uncertain diagnoses.

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The formation of enduring relationships dramatically influences future behavior, promoting affiliation between familiar individuals. How such attachments are encoded to elicit and reinforce specific social behaviors in distinct ethological contexts remains unknown. Signaling via the oxytocin receptor (Oxtr) in the nucleus accumbens (NAc) facilitates social reward as well as pair bond formation between mates in socially monogamous prairie voles .

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Background: Muscle atrophy is a common consequence of the loss of innervation and is accompanied by mitochondrial dysfunction. Mitophagy is the adaptive process through which damaged mitochondria are removed via the lysosomes, which are regulated in part by the transcription factor TFE3. The role of lysosomes and TFE3 are poorly understood in muscle atrophy, and the effect of biological sex is widely underreported.

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  • Researchers faced challenges in using claims data for studying bariatric surgery because they often didn't have body mass index (BMI) measurements.
  • They created a new scoring system, called B3S3, using machine learning to predict pre-operative BMI based on claims data and health records from patients who had bariatric surgery.
  • The B3S3 scoring system performed really well in testing and is a helpful tool for researchers to better understand the effects of obesity on bariatric surgery outcomes.
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  • The Breast Cancer Index (BCI) assay helps assess late recurrence risk and inform decisions about extended endocrine therapy (EET) in early-stage breast cancer patients.
  • Analysis of data from the BCI Registry showed significant changes in both physician recommendations and patient preferences regarding EET after BCI testing.
  • Post-BCI testing, many patients felt more informed and confident about their treatment choices, with reduced concerns about costs and drug safety.
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Purpose: Patients with early-stage hormone receptor-positive (HR+) breast cancer face a prolonged risk of recurrence even after adjuvant endocrine therapy. The Breast Cancer Index (BCI) is significantly prognostic for overall (0-10 years) and late (5-10 years) distant recurrence (DR) risk in N0 and N1 patients. Here, BCI prognostic performance was evaluated in HR+ postmenopausal women from the Tamoxifen and Exemestane Adjuvant Multinational (TEAM) trial.

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  • Transcription factor E3 (TFE3) plays a key role in activating genes for mitophagy, helping clear out damaged mitochondria, especially during exercise.
  • A study on wild-type (WT) and TFE3 knockout (KO) mice showed that exercise enhanced muscle endurance and mitochondrial function in WT mice but not in TFE3 KO mice, indicating TFE3 is crucial for these adaptations.
  • Interestingly, the absence of TFE3 did not affect the overall lysosomal content or mitophagy induction during exercise, suggesting TFE3's role extends beyond just mitophagy to overall mitochondrial enhancement.
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  • The diaphragm is crucial for breathing, and its dysfunction can lead to breathing difficulties and complications, especially in patients on mechanical ventilation.
  • Using point-of-care ultrasound allows for an effective and accurate assessment of diaphragm thickness and its function during breathing, which can help in diagnosing issues.
  • The article outlines best practices for measuring diaphragm activity, aiding in treatment monitoring and improving outcomes for both healthy people and those with respiratory illnesses.
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Missing data complicates statistical analyses in multi-site studies, especially when it is not feasible to centrally pool individual-level data across sites. We combined meta-analysis with within-site multiple imputation for one-step estimation of the average causal effect (ACE) of a target population comprised of all individuals from all data-contributing sites within a multi-site distributed data network, without the need for sharing individual-level data to handle missing data. We considered two orders of combination and three choices of weights for meta-analysis, resulting in six approaches.

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We investigated a stacking ensemble method that combines multiple base learners within a database. The results on external validation across four large databases suggest a stacking ensemble could improve model transportability.

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Article Synopsis
  • In distributed research networks (DRNs), implementing multiple imputation is challenging due to the difficulty of pooling individual-level data, making it important to understand how imputation and meta-analysis work together in this context.
  • The study evaluated the effectiveness of four imputation methods—two parametric (Approx and SMC) and two non-parametric machine learning techniques (RF and CART)—by simulating scenarios based on real-world data to analyze their performance for time-to-event analysis with missing baseline data.
  • Results indicated that while all methods produced unbiased estimates in certain conditions, the SMC algorithm performed best with larger effect sizes, highlighting the adaptability and reliability of imputation within DRNs under various missingness scenarios.
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Background: Insufficient or excessive respiratory effort during acute hypoxemic respiratory failure (AHRF) increases the risk of lung and diaphragm injury. We sought to establish whether respiratory effort can be optimized to achieve lung- and diaphragm-protective (LDP) targets (esophageal pressure swing - 3 to - 8 cm HO; dynamic transpulmonary driving pressure ≤ 15 cm HO) during AHRF.

Methods: In patients with early AHRF, spontaneous breathing was initiated as soon as passive ventilation was not deemed mandatory.

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Increasing availability of electronic health databases capturing real-world experiences with medical products has garnered much interest in their use for pharmacoepidemiologic and pharmacovigilance studies. The traditional practice of having numerous groups use single databases to accomplish similar tasks and address common questions about medical products can be made more efficient through well-coordinated multi-database studies, greatly facilitated through distributed data network (DDN) architectures. Access to larger amounts of electronic health data within DDNs has created a growing interest in using data-adaptive machine learning (ML) techniques that can automatically model complex associations in high-dimensional data with minimal human guidance.

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Background: Given the wide range of uses for antidepressants, understanding indication-specific patterns of prescription filling for antidepressants provide valuable insights into how patients use these medications in real-world settings.

Objective: The objective of this study was to determine the association of antidepressant prescription filling with treatment indication, as well as prior prescription filling behaviors and medication experiences.

Design: This retrospective cohort study took place in Quebec, Canada.

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Purpose: The prognostic utility of Breast Cancer Index (BCI) for risk assessment of overall (0-10 years), early (0-5 years), and late (5-10 years) distant recurrence (DR) in hormone receptor-positive (HR+) invasive lobular carcinoma (ILC) was evaluated.

Experimental Design: BCI gene expression analysis was performed blinded to clinical outcome utilizing tumor specimens from patients with HR+ ILC from a multi-institutional cohort. The primary endpoint was time to DR.

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Article Synopsis
  • Ultrasound can effectively measure abdominal muscle thickening in mechanically ventilated patients, providing insight into muscle function and potential weaning outcomes.
  • A study involving healthy subjects and ventilated patients found a correlation between muscle thickening and pressure during respiratory efforts, indicating the relevance of these measurements.
  • Results showed that changes in abdominal muscle thickening during breathing trials could predict the likelihood of reintubation, highlighting the clinical importance of ultrasound in assessing patient readiness for weaning from ventilation.
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Article Synopsis
  • This review discusses diaphragm dysfunction risk factors and the need for monitoring techniques to optimize diaphragm activity during mechanical ventilation.
  • It highlights that ventilator-induced diaphragm dysfunction (VIDD) can lead to greater ICU stays, difficult weaning, and higher mortality rates, emphasizing the importance of managing ventilation to prevent these issues.
  • Novel approaches like phrenic nerve stimulation are introduced as potential ways to better balance lung and diaphragm protection in ventilated patients facing acute respiratory failure.
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