Screening Tool Research Articles

Application of Patient-Based Real-Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening.

Patient-based real-time quality control (PBRTQC) has gained attention because of its potential to continuously monitor the analytical quality insituations wherein internal quality control (IQC) is less effective. Therefore, we tried to investigate the application of PBRTQC method based on an artificial intelligence monitoring (AI-MA) platform in quality risk monitoring of Down syndrome (DS) serum screening. The DS serum screening item determination data and relative IQC data from January 4 to September 7 in 2021 were collected. Then, PBRTQC exponentially weighted moving average (EWMA) and moving average (MA) procedures were built and optimized in the AI-MA platform. The efficiency of the EWMA and MA procedures with intelligent and traditional control rules were compared. Next, the optimal EWMA procedures that contributed to the quality assurance of serum screening were run and generated early warning cases were investigated. Optimal EWMA and MA procedures on the AI-MA platform were built. Comparison results showed the EWMA procedure with intelligent QC rules but not traditional quality rules contained the best efficiency. Based on the AI-MA platform, two early warning cases were generated by using the optimal EWMA procedure, which finally found were caused by instrument failure. Moreover, the EWMA procedure could truly reflect the detection accuracy and quality insituations wherein traditional IQC products were unstable or concentrations were inappropriate. The EWMA procedure built by the AI-MA platform could be a good complementary control tool for the DS serum screening by truly and timely reflecting the detection quality risks.

The Importance of Three-Dimensional Total Body Photography and the Role of the Dermatology Nurse in the Prevention of Melanoma in High-Risk Patients

ABSTRACT Three-dimensional total body photography is a recent advance in melanoma early detection that can aid clinicians in monitoring and identifying new and changing skin lesions over time. It is a beneficial screening tool for high-risk patients to have a history of melanoma or dysplastic nevi. According to the American Cancer Society, melanoma cases are increasing each year. Melanoma is one of the most aggressive skin cancers in the United States and is the fifth most common cancer cause in both men and women. Prompt diagnosis is critical to reducing the morbidity and mortality caused by melanoma. Survival outcomes worsen with increasing tumor thickness, and thicker melanomas require more invasive and intensive treatment. However, if detected early, the 10-year survival rate of patients with thin melanomas is almost 98%, compared with as low as 48% in thick melanomas. Three-dimensional total body photography along with education provided by dermatology nurses on how this system aids in the identification of new and changing nevi is vital in the prevention of melanoma. As a Dermatology nurse, one of the most crucial roles is educating patients with evidence-based knowledge. This includes following a distinct schedule of follow up appointments to monitor moles, using sunscreen, avoiding excessive sun exposure, encouraging self-skin examinations, and ensuring patients maintain their follow-up appointments. These measures can help to prevent Melanoma.

Assessing gambling disorder using frequency- and time-based response options: A Rasch analysis of the gambling disorder identification test.

The Gambling Disorder Identification Test (GDIT) is a recently developed self-report measure. The GDIT includes items with multiple response options that are either based on frequency or time, and item response theory evaluations of these could yield vital knowledge on its measurement performance. The GDIT was evaluated using Rasch analysis in a study involving 597 Swedish gamblers. In a three-dimensional Rasch model, the item response difficulty range extended from -1.88 to 4.06 and increased with higher time- and frequency-based responses. Differential item functioning showed that some GDIT items displayed age and gender-related differences. Additionally, person-separation reliability indicated the GDIT could reliably be divided into three to four diagnostic levels. The frequency- and time-based item response options of the GDIT offer excellent measurement, allowing for elaborate assessment across both lower and higher gambling severity. The GDIT can be used to detect DSM-5 Gambling Disorder, thereby holding significance from both epidemiological and clinical standpoints. Notably, the 3-item GDIT Gambling Behavior subscale also shows potential as a brief screening tool for identifying at-risk gambling behavior.

What are the most effective screening tools for adolescents at risk of suicide?

What are the most effective screening tools for adolescents at risk of suicide?

3D Topographical Scanning for the Detection of Osteoporosis.

Osteoporosis is associated with greater risk of fracture, which can lead to increased morbidity and mortality. DEXA scans are often inaccessible for patients, leaving many cases of osteoporosis undetected. A portable 3D topographical scan offers an easily accessible and inexpensive potential adjunct screening tool. We hypothesized that 3D scanning of arm and calf circumference and volume would correlate with DEXA T-scores. 96 female patients were enrolled. Patients were consented and completed a topographical scan of bilateral arms and lower legs with a mobile 3D scanner for arm and calf circumference and volume in clinic. Patient charts were then retrospectively reviewed for DEXA T-scores. Forearm DEXA T-score was positively correlated with arm circumference (r = 0.49, p<0.01), arm volume (r=0.62, p<0.01), and calf volume (r=0.47, p<0.01). Femoral neck DEXA T-score was positively correlated with calf circumference (r=0.36, p<0.01) and calf volume (r=0.36, p<0.01). Our results showed significant correlations between DEXA T-scores and topographical measurements from mobile device acquired 3D scans, although these were in the "moderate" range. Mobile device-based 3D scanning may hold promise as an adjunct screening tool for osteoporosis when DEXA scanning is not available or feasible for patients, although further studies are needed to elucidate the full potential of its clinical utility. At a minimum, identifying a patient as high risk may promote earlier diagnostic DEXA scanning.

Identification of MicroRNA Profiles in Fetal Spina Bifida: The Role in Pathomechanism and Diagnostic Significance.

Distinct miRNA expression patterns may reflect anomalies related to fetal congenital malformations such as spinal bifida (SB). The aim of this preliminary study was to determine the maternal miRNA expression profile of women carrying fetuses with SB. Therefore, six women carrying fetuses with SB and twenty women with euploid healthy fetuses were enrolled in this study. Using NanoString technology, we evaluated the expression level of 798 miRNAs in both plasma and amniotic fluid samples. A downregulation of miR-1253, miR-1290, miR-194-5p, miR-302d-3p, miR-3144-3p, miR-4536-5p, miR-548aa + miR-548t-3p, miR-548ar-5p, miR-548n, miR-590-5p, miR-612, miR-627-5p, miR-644a, and miR-122-5p, and an upregulation of miR-320e, let-7b-5p, miR-23a-3p, miR-873-3p, and miR-30d-5p were identified in maternal amniotic fluid samples in SB when compared to the control group. The target genes of these miRNAs play a predominant role in regulating the synthesis of several biological compounds related to signaling pathways such as those regulating the pluripotency of stem cells. Moreover, the maternal plasma expression of miR-320e was increased in pregnancies with SB, and this marker could serve as a valuable non-invasive screening tool. Our results highlight the SB-specific miRNA signature and the differentially expressed miRNAs that may be involved in SB pathogenesis. Our findings emphasize the role of miRNA as a predictive factor that could potentially be useful in prenatal genetic screening for SB.

Clinimetric Properties of the Working Alliance Inventory and Credibility Expectancy Questionnaire: Screening Options for Musculoskeletal Pain

ObjectiveTo investigate clinimetric properties of 2 surveys used to evaluate common factors in the patient-provider relation and present screener options for the assessment of common factors and report their correlation with pain and functional outcomes. DesignObservational cohort. SettingOutpatient physical therapy. Participants100 individuals (58% women, mean age=34, SD=15; N=100) presenting to physical therapy with musculoskeletal pain in the following regions: 44% lower extremity, 36% spine, 19% upper extremity, 1% undetermined. InterventionNot applicable. Main Outcome MeasuresParticipants completed the Working Alliance Inventory (WAI) and the Credibility and Expectancy Questionnaire (CEQ). Exploratory factor analysis (EFA) explored factor structure of the WAI and CEQ. Internal consistency was evaluated for scales derived from items retained based on factor loadings. Finally, options for screener tools were proposed and assessed based on their correlation to original surveys as well as pain and functional outcomes. ResultsThe data supported a 4-factor structure for the surveys. Some WAI items were excluded due to cross-loading. The derived four-factor scales demonstrated strong correlations with the original surveys (r=.89-.99) and exhibited good internal consistency (α=.824-.875). Two screening options were suggested: 1 retaining 11 of the original 18 items and the other comprising just 3 items. Both screening tools correlated with the original surveys and showed associations with improvements in pain and functional outcomes (r=-.21-.34). ConclusionThe proposed screeners provide concise measurement options to facilitate use in clinical practice. These tools can aid in facilitating patient communication specifically addressing patient expectation and understanding the tasks required to enact behavior change.

Emotional, Behavioral, and Cognitive Symptom Associations With Community Participation in Chronic Traumatic Brain Injury.

To determine the association between self-reported emotional and cognitive symptoms and participation outcomes in chronic traumatic brain injury (TBI) and to explore the relative contribution of self-reported versus performance-based cognition to participation outcomes. Community. Community-dwelling adults ( n = 135) with a lifetime history of mild to severe TBI. Secondary analysis of a cross-sectional study on neurobehavioral symptoms in chronic TBI. Behavioral Assessment Screening Tool (BAST) (Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, Substance Abuse subscales) measured self-reported neurobehavioral symptoms; Participation Assessment with Recombined Tools (Productivity, Social Relations, and Out and About) measured self-reported participation outcomes; and Brief Test of Adult Cognition by Telephone (BTACT) measured performance-based cognition (Episodic Memory and Executive Function summary scores) in a subsample ( n = 40). The BAST Executive Dysfunction was significantly associated with less frequent participation and had the strongest effect on participation in all participation domains. No other BAST subscales were associated with participation, after adjusting for all subscale scores and age, with the exception of BAST Impulsivity, which was associated with more frequent Social Relationships. Exploratory analysis in the sample including the BTACT revealed that, after accounting for subjective Executive Dysfunction using the BAST, performance-based Executive Function was associated with Productivity and Working Memory was associated with Social Relations, but neither was associated with being Out and About; the BAST Executive Dysfunction remained significant in all models even after including BTACT scores. Self-reported Executive Dysfunction contributed to participation outcomes after mild to severe TBI in community-dwelling adults, whereas self-reported emotional and fatigue symptoms did not. Performance-based cognition measures may capture different variability in participation after injury.

A Pilot Study to Evaluate a New Hep-GRP Care Pathway to Improve Outcomes Among Canadian Older Adults with Liver Cirrhosis.

Older adults with cirrhosis have complex medical needs that are not satisfied by organ specific management. Interdisciplinary approach may mitigate comorbidity and improve patient satisfaction. A pilot study consisted of dual specialist interdisciplinary referral pathway and mixed virtual care delivery model are prospectively evaluated in older adults (65 years and older) with cirrhosis during the COVID-19 pandemic between September and December 2022. Participant attitudes towards telemedicine were surveyed. 68 participants with cirrhosis were consecutively assessed by hepatology. The mean age was 73 years. 39 (57%) screened positive for one or more geriatric syndrome(s). Comprehensive geriatric assessments were conducted via telemedicine in 18 participants, with additional referrals to physiotherapy and nutritional education. Compared to a historic cohort matched for age, sex, and Child-Pugh class, acute health service utilization measured by ER visits among those received dual specialist interdisciplinary consultation were lowered by 1.11 per patient at three-month follow up period (p = .0006, 95% CI 0.47-1.74). Majority participants (87.6%) preferred telemedicine or mixed method visits. An interdisciplinary approach to older adults with cirrhosis will likely be beneficial, and routine screening for geriatric syndrome may lead to reduced acute health-care utilization in the short term. Telemedicine and virtual screening tools in seniors should be fully explored to improve access to care.

Applications of artificial intelligence in prostate cancer histopathology.

The diagnosis of prostate cancer (PCa) depends on the evaluation of core needle biopsies by trained pathologists. Artificial intelligence (AI) derived models have been created to address the challenges posed by pathologists' increasing workload, workforce shortages, and variability in histopathology assessment. These models with histopathological parameters integrated into sophisticated neural networks demonstrate remarkable ability to identify, grade, and predict outcomes for PCa. Though the fully autonomous diagnosis of PCa remains elusive, recently published data suggests that AI has begun to serve as an initial screening tool, an assistant in the form of a real-time interactive interface during histological analysis, and as a second read system to detect false negative diagnoses. Our article aims to describe recent advances and future opportunities for AI in PCa histopathology.

Noninvasive assessment of glymphatic dysfunction in idiopathic normal pressure hydrocephalus with diffusion tensor imaging.

Diffusion tensor imaging (DTI) along the perivascular space (ALPS) (DTI-ALPS)-by calculating the ALPS index, a ratio accentuating water diffusion in the perivascular space-has been proposed as a noninvasive, indirect MRI method for assessing glymphatic function. The main aim of this study was to investigate whether DTI-ALPS would reveal glymphatic dysfunction in idiopathic normal pressure hydrocephalus (iNPH) and whether the ALPS index was associated with disease severity. Thirty iNPH patients (13 men; median age 77 years) and 27 healthy controls (10 men; median age 73 years) underwent MRI and clinical assessment with the Timed Up and Go test (TUG) and Mini-Mental State Examination (MMSE); only the patients were evaluated with the Hellström iNPH scale. MRI data were analyzed with the DTI-ALPS method and Radscale screening tool. iNPH patients showed significantly lower mean ALPS index scores compared with healthy controls (median [interquartile range] 1.09 [1.00-1.15] vs 1.49 [1.36-1.59], p < 0.001). Female healthy controls showed significantly higher ALPS index scores than males in both hemispheres (e.g., right hemisphere 1.62 [1.47-1.67] vs 1.33 [1.14-1.41], p = 0.001). This sex difference was not seen in iNPH patients. The authors found a moderate exponential correlation between mean ALPS index score and motor function as measured with time required to complete TUG (r = -0.644, p < 0.001), number of steps to complete TUG (r = -0.571, p < 0.001), 10-m walk time (r = -0.637, p < 0.001), and 10-m walk steps (r = -0.588, p < 0.001). The authors also found a positive linear correlation between mean ALPS index score and MMSE score (r = 0.416, p = 0.001). Simple linear regression showed a significant effect of diagnosis (B = -0.39, p < 0.001, R2 = 0.459), female sex (B = 0.232, p = 0.002, R2 = 0.157), and Evans index (B = -4.151, p < 0.001, R2 = 0.559) on ALPS index. Multiple linear regression, including diagnosis, sex, and Evans index score, showed a higher predictive value (R2 = 0.626) than analysis of each of these factors alone. The ALPS index, which was significantly decreased in iNPH patients, could serve as a marker of disease severity, both clinically and in terms of neuroimaging. However, it is important to consider the significant influence of biological sex and ventriculomegaly on the ALPS index, which raises the question of whether the ALPS index solely reflects glymphatic function or if it also encompasses other types of injury. Future studies are needed to address potential confounding factors and further validate the ALPS method.

Accuracy and Pitfalls in the Smartphone-Based Audiometry Examination.

Approximately 466 million people suffer from hearing loss worldwide, with Indonesia ranking fourth in Southeast Asia. However, conventional pure-tone audiometry is not yet available in many areas because of its high cost. Numerous available smartphone-based audiometry applications are potential alternative screening tools for hearing loss, especially in Indonesia. This study examined the findings on the validation of smartphone-based audiometry applications to assess hearing functions available in Indonesia. Based on the established eligibility criteria, this study was conducted by browsing the relevant literature validating smartphone-based audiometry applications in Indonesia. Relevant study data, such as the author, year, location, implementation procedures, and outcomes, were extracted and summarized. This systematic review found 17 relevant and eligible publications. Of the six applications tested, 5 were found to have good validity, such as uHearTM, Audiogram MobileTM, AudCalTM, Hearing TestTM e-audiologia, and WuliraTM. All smartphone-based audiometry was tested only for the air conduction threshold and was influenced by several factors. Because smartphone-based audiometry is inexpensive, simple, and more accessible than conventional audiometric testing, it can be useful as a screening modality or alternative approach to assess hearing function. Unfortunately, smartphone-based audiometry cannot replace conventional audiometry in diagnosing hearing impairment.

Targeted screening of atrial fibrillation using automated blood pressure measurement device with atrial fibrillation detection function, in patients with type 2 diabetes mellitus in primary care setting

ObjectiveThe prevalence of atrial fibrillation (AF) in type 2 diabetes mellitus (DM) patients under primary care in Hong Kong was yet to be explored. We aimed to evaluate the prevalence of AF in patients with DM so as to provide evidence-based recommendations to incorporate AF screening as a component in regular diabetic risk and complication assessment. The performance of automated BP machine Microlife WatchBP Office AFIB as a screening tool for the detection of AF was also evaluated.MethodThis was a cross-sectional study. Patients with type 2 DM who attended the regular diabetic risk and complication assessment in the participating clinics from 24 August 2021 to 27 January 2022 were recruited. Blood pressure measurement by Microlife WatchBP Office AFIB and 12-lead ECGs were performed for AF screening.ResultsAmong 2015 DM patients in primary care, the prevalence of AF was found to be 1.9% (95% confidence interval [CI] 1.3–2.6). The prevalence of AF increased with age, from 0.5% in patients aged < 65 years, to 2.2% in patients aged 65–74 years and 4.3% in patients aged ≥ 75 years. The sensitivity and specificity of Microlife WatchBP Office AFIB to detect AF were 80% (95% Cl 61.8–92.3) and 97.9%. (95% CI 97.3–98.5), respectively. The positive and negative predictive values were 32.8% (95% CI 21.9–45.1) and 99.7% (95% CI 99.5–99.9) respectively.ConclusionsAF screening with the use of Microlife WatchBP Office AFIB is a simple procedure and can be considered as a standard assessment in the regular comprehensive diabetic risk and complication assessment in primary care setting.

Risk Factors of Perinatal Negative Mood and Its Influence on Prognosis: A Retrospective Cohort Study.

Maternal anxiety or depression in the perinatal period has a high prevalence. The negative emotion during the puerpera is unfavorable to the process of childbirth and also affects the recovery and the quality of life in postpartum patients significantly. The present study aimed to elucidate the risk factors of negative emotion in perinatal women and its influence on prognosis to provide a reference for improving maternal prognosis. Initially, 350 expectant mothers were randomly enrolled in the present study between August 2021 and August 2022. Among these, after applying the established inclusion and exclusion criteria, 314 patients were eventually selected. The independent risk factors of negative emotion and poor prognosis were analyzed through binary logistics regression and multiple linear regression. Follow-up was conducted via telephone, email, and a follow-up visit one month after discharge. Among the included patients, 18 (5.7%) had prenatal anxiety, 16 (5.1%) had prenatal depression, 31 (9.9%) had postnatal anxiety, and 28 (8.9%) had postnatal depression. Perinatal negative emotional risk factors include age, marital relationship, regular prenatal examination, E2 level, 5-HT level before and after delivery, family monthly income, neonatal health, breastfeeding time, intrapartum hemorrhage, constipation and other complications. The development of postpartum negative emotions is a risk factor for maternal prognosis. The results showed that the risk factors of perinatal depression and anxiety were complex. In order to improve the quality of life of pregnant women, maintain their long-term emotional stability, and promote their postpartum recovery, it may be considered to promote the use of screening tools to identify women at risk of anxiety and depression before and after delivery, and timely psychological counseling for patients with high risk factors to promote their mental health.

Current Practices and Attitudes of Cardiac Nurses Regarding Cognitive Screening in Patients With Acute Coronary Syndrome

Cognitive impairment (CI) is common in patients with acute coronary syndrome (ACS) but is often undetected and may affect recovery and secondary prevention uptake. Nurses play a crucial role providing care for patients with ACS and promoting secondary prevention. This study aimed to explore current nursing practices and barriers regarding CI screening in patients with ACS. Cardiac nurses were recruited from three metropolitan teaching hospitals and two professional associations in Australia and undertook a 38-question purpose-built survey. A total of 95 nurses participated (mean age 38±13 years; 78% [n=74] female): 69 were registered nurses, and 48% had received CI training. Only 16% of nurses in our sample reported that they regularly screen for CI, and 23% reported that they never screen; however, 59% believed screening should be part of everyday practice. Nurses mostly screened when ward policy required admission/daily cognitive screening (34%) or when they suspected cognitive problems or decline (39%). Nurses in acute settings (vs non-acute) were nine times more likely to screen when adjusting for confounders. The typically used screening instruments assessed delirium/confusion and dementia but not milder CI. Common barriers to screening included communication difficulties, patients too unstable/unwell, time constraints requiring clinical care prioritisation, and being unaware of patients' normal cognition status. Screening practices for CI in the context of ACS were found to be suboptimal, with only 16% of nurses in our sample reporting regularly screening. The most used methods focus on screening for delirium. Given current practice, many CI cases will be missed, especially mild CI, which will negatively affect secondary prevention efforts. Further research is required to identify appropriate methods to implement routine screening within the nursing clinical workflow and establish a suitable screening tool.

Comparison of Epworth Sleepiness Scale and OSA-18 Scores With Polysomnography in Children.

Our goal is to determine if there is a correlation between Modified Epworth Sleepiness Scale (M-ESS) scores, obstructive sleep apnea (OSA)-18 scores, and polysomnography (PSG) outcomes in children. Retrospective chart review. Pediatric otolaryngology clinic. Charts of consecutive children presenting from July 2021 to July 2023 were reviewed. Demographics, body mass index (BMI), BMI Z score, M-ESS score, OSA-18 score, PSG results, and sleep apnea severity were included. One-way analysis of variance and Pearson/Spearman correlation coefficients were calculated. Three hundred sixty-seven children were included, 162 (44.1%) girls and 205 (55.9%) boys. Mean patient age was 7.8 (95% confidence interval [CI]: 7.3-8.3) years. M-ESS score was 6.3 (n = 348, 95% CI: 5.8-6.8), mean OSA-18 score was 56.2 (n = 129, 95% CI: 53.0-59.4). Mean apnea-hypopnea index (AHI) was 10.1 (95% CI: 8.7-11.4) events/h, obstructive AHI 9.3 (95% CI: 8.0-12.7) events/h, respiratory distress index 14.6 (95% CI: 8.4-20.8) events/h, and oxygen saturation nadir 89.8% (95% CI: 89.1-90.4). Sixty-two children (17.2%) had mild, 192 (53.5%) moderate, and 105 (29.2%) severe sleep apnea. M-ESS score correlated weakly to AHI (r = .19, P = <.001), and OSA-18 score to oxygen saturation nadir (r = -.16, P = .002). After logistic regression adjusted for age and BMI, neither clinical scores were independently associated with AHI. M-ESS and OSA-18 scores have a weak correlation with OSA severity in children. More reliable, age-appropriate screening tools are needed in pediatric sleep apnea.

Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics.

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as NAFLD, is the most common liver disease in children. Liver biopsy remains the gold standard for diagnosis, although more efficient screening methods are needed. We previously developed a novel NAFLD screening panel in youth using machine learning applied to high-resolution metabolomics and clinical phenotype data. Our objective was to validate this panel in a separate cohort, which consisted of a combined cross-sectional sample of 161 children with stored frozen samples (75% male, 12.8±2.6 years of age, body mass index 31.0±7.0kg/m2, 81% with MASLD, 58% Hispanic race/ethnicity). Clinical data were collected from all children, and high-resolution metabolomics was performed using their fasting serum samples. MASLD was assessed by MRI-proton density fat fraction or liver biopsy and cardiometabolic factors. Our previously developed panel included waist circumference, triglycerides, whole-body insulin sensitivity index, 3 amino acids, 2 phospholipids, dihydrothymine, and 2 unknowns. To improve feasibility, a simplified version without the unknowns was utilized in the present study. Since the panel was modified, the data were split into training (67%) and test (33%) sets to assess the validity of the panel. Our present highest-performing modified model, with 4 clinical variables and 8 metabolomics features, achieved an AUROC of 0.92, 95% sensitivity, and 80% specificity for detecting MASLD in the test set. Therefore, this panel has promising potential for use as a screening tool for MASLD in youth.

Estimated glomerular filtration rate as a tool for early identification of patients with insufficient exposure to beta-lactam antibiotics in intensive care units

Background Only about 50% of intensive care unit (ICU) patients reach a free trough concentration above MIC (100% fT > MIC) of beta-lactam antibiotics. Although dose adjustments based on therapeutic drug monitoring (TDM) could be beneficial, TDM is not widely available. We investigated serum creatinine-based estimated GFR (eGFR) as a rapid screening tool to identify ICU patients at risk of insufficient exposure. Method Ninety-three adult patients admitted to four ICUs in southeast Sweden treated with piperacillin/tazobactam, meropenem, or cefotaxime were included. Beta-lactam trough concentrations were measured. The concentration target was set to 100% fT > MICECOFF (2, 4, and 16 mg/L based on calculated free levels for meropenem, cefotaxime, and piperacillin, respectively). eGFR was primarily determined via Chronic Kidney Disease–Epidemiology Collaboration (CKD-EPI) and compared to three other eGFR equations. Data was analysed using logistic regression and receiver operative characteristic (ROC) curves. Results With intermittent standard dosing, insufficient exposure was common in patients with a relative eGFR ≥48mL/min/1.73m2 [85%, (45/53)], particularly when treated with cefotaxime [96%, (24/25)]. This eGFR cut-off had a sensitivity of 92% and specificity of 82% (AUC 0.871, p < 0.001) in identifying insufficient exposure. In contrast, patients with eGFR <48mL/min/1.73m2 had high target attainment [90%, (36/40)] with a wide variability in drug exposure. There was no difference between the four eGFR equations (AUC 0.866–0.872, cut-offs 44–51 ml/min/1.73m2). Conclusion Serum creatinine-based eGFR is a simple and widely available surrogate marker with potential for early identification of ICU patients at risk of insufficient exposure to piperacillin, meropenem, and cefotaxime.

Performance evaluation of a Test&Treat rapid detection kit for the diagnosis of septic effusions in dogs and cats.

To evaluate the sensitivity and specificity of a veterinary point-of-care (POC) luminometer-based kit for the diagnosis of septic peritoneal or pleural effusion in dogs and cats. Prospective study performed between January 2020 and July 2021. University teaching hospital. Forty-eight animals with naturally occurring peritoneal or pleural effusion collected by aseptic abdominocentesis or thoracocentesis. Effusion samples were split into filtered (using a 10-micron filter) and unfiltered aliquots and analyzed by the POC instrument according to the manufacturer's instructions and following variable incubation periods. Samples were also plated aerobically on standard and blood agar plates. Proprietary reagents were added to samples, causing bacterial ATP to generate bioluminescence that is detected by the luminometer. Bioluminescence values (relative light units [RLUs]) were recorded and compared with the presence of bacterial growth on the culture plates. Nucleated cell counts in native and filtered effusion samples were recorded. Twenty-one samples were septic based on positive culture. RLUs were higher in septic effusions for filtered and native effusions compared with sterile effusions. The use of a filter reduced cell counts. In filtered samples incubated for 30minutes before testing, the sensitivity and specificity of the luminometer for diagnosis of infection in cavitary effusions were 81% and 82%, respectively, using a cutoff of 12,202 RLUs. The luminometer kit evaluated in this study represents a viable screening tool for diagnosis of septic cavitary effusions and could be used in conjunction with other POC diagnostics to support the rapid diagnosis of infection.

Advancing Health Equity Through Issue Spotting in Primary Care: A Case for Medical-legal Partnerships

Social and legal determinants of health have been shown to have substantial impacts on the health outcomes of individual patients and the population as a whole. This case report highlights the importance of screening for social needs as well as having appropriate interventions to address their impact. One intervention is medical-legal partnerships. The case presented describes the use of social screening tools and medical-legal partnerships to address health concerns, reduce health care spending, and promote optimal health outcomes. The case provided is a patient who was evaluated for bilateral lower extremity swelling in a primary care setting.