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BACKGROUND: Primary hyperparathyroidism (PHPT) is underdiagnosed and associated with many adverse health effects. Historically, many hypercalcemic patients have not received parathyroid hormone (PTH) testing; however, underlying reasons are uncertain. Our goals are to determine the PTH testing rate among hypercalcemic individuals at a large academic health system and to assess for characteristics associated with testing versus not testing for PHPT to inform future strategies for closing testing gaps. METHODS: This retrospective study included adult patients with ≥1 elevated serum calcium result between 2018 and 2022. Based on the presence or absence of a serum PTH result, individuals were classified as "screened" versus "unscreened" for PHPT. Demographic and clinical characteristics of these groups were compared. RESULTS: The sample comprised 17,491 patients: 6567 male (37.5%), 10,924 female (62.5%), mean age 59 y. PTH testing was performed in 6096 (34.9%). Characteristics independently associated with the greatest odds of screening were 5+ elevated calcium results (odds ratio [OR] 5.02, P < 0.0001), chronic kidney disease (OR 3.63, P < 0.0001), maximum calcium >12.0 mg/dL (OR 2.48, P < 0.0001), and osteoporosis (OR 2.42, P < 0.0001). Characteristics associated with lowest odds of screening were age <35 y (OR 0.60, P < 0.0001), death during the study period (OR 0.68, P < 0.0001), age ≥85 y (OR 0.70, P = 0.0007), and depression (OR 0.84; P = 0.0081). CONCLUSIONS: Only 35% of hypercalcemic patients received PTH testing. Although the presence of PHPT-associated morbidity was generally associated with increased rates of screening, hypercalcemic patients with depression were 16% less likely to be tested.
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Hipercalcemia , Hiperparatireoidismo Primário , Adulto , Humanos , Masculino , Feminino , Pessoa de Meia-Idade , Hipercalcemia/diagnóstico , Hipercalcemia/etiologia , Cálcio , Hiperparatireoidismo Primário/complicações , Hiperparatireoidismo Primário/diagnóstico , Estudos Retrospectivos , Hormônio ParatireóideoRESUMO
OBJECTIVE: Evaluate the effectiveness of text messages to systematically engage parents/guardians ("caregivers") to reschedule a well-child visit (WCV) that was missed ("no-show") and attend that rescheduled WCV visits. METHODS: Patients <18 years in one of five pediatrics or family medicine clinics, in one health system in the Southeast US, were eligible. Patients without a rescheduled WCV after a no-show were randomized into intervention (text messages) or care-as-usual comparison, stratified by language (English/Spanish). Enrollment occurred May-July 2022. Up to three text messages were sent to caregivers one week apart via REDCap and Twilio, advising how to reschedule the missed appointment by phone or health portal. Primary outcomes were 1) rescheduling a WCV within 6 weeks of no-show and 2) completing a rescheduled WCV within 6 weeks. Risk differences (RD) and odds ratios (OR) were used to evaluate the effect of text messages. RESULTS: Seven hundred and twenty patients were randomized and analyzed (texts: 361, comparison: 359). The proportion rescheduling WCV after text versus usual care was English: 18.85% versus 15.02%, respectively, and Spanish: 5.94% versus 8.14%, with overall RD+ 1.98% (95% CI: -1.85, 5.81) and OR 1.21 (95% CI: 0.79, 1.84; P-value .38). Completed WCV rates in text or usual care were English: 13.08% versus 6.59%, and Spanish: 5.81% versus 5.94% with texts associated with RD+ 2.83% (95% CI: 1.66, 4.00) and OR 1.86 (95% CI: 1.09, 3.19). CONCLUSION: Text message follow-up after a no-show WCV may positively impact attendance at WCVs rescheduled in the subsequent 6 weeks. TRIAL REGISTRATION: ClinicalTrials.gov NCT05086237.
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Background: Well-designed randomized trials provide high-quality clinical evidence but are not always feasible or ethical. In their absence, the electronic medical record (EMR) presents a platform to conduct comparative effectiveness research, central to the emerging academic learning health system (aLHS) model. A barrier to realizing this vision is the lack of a process to efficiently generate a reference comparison group for each patient. Objective: To test a multi-step process for the selection of comparators in the EMR. Materials and Methods: We conducted a mixed-methods study within a large aLHS in North Carolina. We (1) created a list of 35 candidate variables; (2) surveyed 270 researchers to assess the importance of candidate variables; and (3) built consensus rankings around survey-identified variables (ie, importance scores >7) across two panels of 7-8 clinical research experts. Prioritized algorithm inputs were collected from the EMR and applied using a greedy matching technique. Feasibility was measured as the percentage of patients with 100 matched comparators and performance was measured via computational time and Euclidean distance. Results: Nine variables were selected: age, sex, race, ethnicity, body mass index, insurance status, smoking status, Charlson Comorbidity Index, and neighborhood percentage in poverty. The final process successfully generated 100 matched comparators for each of 1.8 million candidate patients, executed in less than 100 min for the majority of strata, and had average Euclidean distance 0.043. Conclusion: EMR-derived matching is feasible to implement across a diverse patient population and can provide a reproducible, efficient source of comparator data for observational studies, with additional testing in clinical research applications needed.
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OBJECTIVE: The current standards of postoperative respiratory monitoring on medical-surgical floors involve spot-pulse oximetry checks every 4-8 h, which can miss the opportunity to detect prolonged hypoxia and acute hypercapnia. Continuous respiratory monitoring can recognize acute respiratory depression episodes; however, the existing evidence is limited. We sought to review the current evidence on the effectiveness of continuous pulse oximetry (CPOX) with and without capnography versus routine monitoring and their effectiveness for detecting postoperative respiratory failure, opioid-induced respiratory depression, and preventing downstream adverse events. METHODS: We performed a systematic literature search on Ovid Medline, Embase, and Cochrane Library databases for articles published between 1990 and April 2023. The study protocol was registered in Prospero (ID: 439467), and PRISMA guidelines were followed. The NIH quality assessment tool was used to assess the quality of the studies. Pooled analysis was conducted using the software R version 4.1.1 and the package meta. The stability of the results was assessed using sensitivity analysis. DESIGN: Systematic Review and Meta-Analysis. SETTING: Postoperative recovery area. PATIENTS: 56,538 patients, ASA class II to IV, non-invasive respiratory monitoring, and post-operative respiratory depression. INTERVENTIONS: Continuous pulse oximetry with or without capnography versus routine monitoring. MEASUREMENTS: Respiratory rate, oxygen saturation, adverse events, and rescue events. RESULTS: 23 studies (17 examined CPOX without capnography and 5 examined CPOX with capnography) were included in this systematic review. CPOX was better at recognizing desaturation (SpO2 < 90%) OR: 11.94 (95% CI: 6.85, 20.82; p < 0.01) compared to standard monitoring. No significant differences were reported for ICU transfer, reintubation, and non-invasive ventilation between the two groups. CONCLUSIONS: Oxygen desaturation was the only outcome better detected with CPOX in postoperative patients in hospital wards. These comparisons were limited by the small number of studies that could be pooled for each outcome and the heterogeneity between the studies.
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Analgésicos Opioides , Insuficiência Respiratória , Humanos , Analgésicos Opioides/efeitos adversos , Taxa Respiratória , Capnografia/métodos , Monitorização Fisiológica/métodos , Insuficiência Respiratória/induzido quimicamente , Insuficiência Respiratória/prevenção & controle , Insuficiência Respiratória/diagnóstico , Oximetria/métodos , Complicações Pós-Operatórias/diagnóstico , HospitaisRESUMO
BACKGROUND: The Healthy Eating Index 2010 (HEI-2010) and Alternative Healthy Eating Index 2010 (AHEI-2010) are commonly used to measure dietary quality in research settings. Neither index is designed specifically to compare diet quality between low-carbohydrate (LC) and low-fat (LF) diets. It is unknown whether biases exist in making these comparisons. OBJECTIVE: The aim was to determine whether HEI-2010 and AHEI-2010 contain biases when scoring LC and LF diets. DESIGN: Secondary analyses of the Diet Intervention Examining the Factors Interacting With Treatment Success (DIETFITS) weight loss trial were conducted. The trial was conducted in the San Francisco Bay Area of California between January 2013 and May 2016. Three approaches were used to investigate whether biases existed for HEI-2010 and AHEI-2010 when scoring LC and LF diets. PARTICIPANTS/SETTING: DIETFITS participants were assigned to follow healthy LC or healthy LF diets for 12 months (n = 609). MAIN OUTCOMES MEASURES: Mean diet quality index scores for each diet were measured. STATISTICAL ANALYSIS: Approach 1 examined both diet quality indices' scoring criteria. Approach 2 compared scores garnered by exemplary quality LC and LF menus created by registered dietitian nutritionists. Approach 3 used 2-sided t tests to compare the HEI-2010 and AHEI-2010 scores calculated from 24-hour dietary recalls of DIETFITS trial participants (n = 608). RESULTS: Scoring criteria for both HEI-2010 (100 possible points) and AHEI-2010 (110 possible points) were estimated to favor an LF diet by 10 points. Mean scores for exemplary quality LF menus were higher than for LC menus using both HEI-2010 (91.8 vs 76.8) and AHEI-2010 (71.7 vs 64.4, adjusted to 100 possible points). DIETFITS participants assigned to a healthy LF diet scored significantly higher on HEI and AHEI than those assigned to a healthy LC diet at 3, 6, and 12 months (all, P < .001). Mean baseline scores were lower than mean scores at all follow-up time points regardless of diet assignment or diet quality index used. CONCLUSIONS: Commonly used diet quality indices, HEI-2010 and AHEI-2010, showed biases toward LF vs LC diets. However, both indices detected expected changes in diet quality within each diet, with HEI-2010 yielding greater variation in scores. Findings support the use of these indices in measuring diet quality differences within, but not between, LC and LF diets.
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Introduction: Persistent Tic Disorders such as Tourette Syndrome are common neurodevelopmental disorders that are highly stigmatized. Many individuals with Persistent Tic Disorders experience peer rejection, loneliness, and self-stigma. Experiencing stigmatization during childhood can influence the persistence of moderate-to-severe tics later in life. Additionally, these factors have been associated with increased suicidal ideation, suicide attempts, and psychiatric symptom severity. There is a need for interventions to reduce stigma and stigmatization in Persistent Tic Disorders. Before developing cost-effective interventions to mitigate stigma's profound downstream health impacts, a reliable measure of stigmatization must be created. The overarching goal of this research is to develop and validate the Tourette Discrimination-Stigmatization (TD-STIGMA) Scale. Methods: This paper presents the study protocol for developing and validating the TD-STIGMA Scale. The study is designed as a mixed methods study to develop the TD-STIGMA scale and evaluate its psychometric properties. The study uses a phased approach: (1) collection of narrative and thematic content data through in-depth qualitative interviews of stakeholders, (2) development of a novel TD-STIGMA self-report scale using the Delphi Method based on these results, and (3) completion of analyses to determine the scale's psychometric properties (confirmatory factor analysis, convergent, known-group, criterion validity, and test-retest reliability). Discussion: This project will result in a personalized approach to stigma measurement about youth and young adults with Persistent Tic Disorders, which to date does not exist. There are several limitations. Comorbidities or spiritual or cultural beliefs may affect perceptions of stigma and are not directly assessed in this study. We will utilize institutional resources for community outreach to purposefully sample underrepresented minorities who may be at disproportionate risk of adverse outcomes. However, this may not be fully representative of the generalized tic population. The study team will be purposeful in maintaining participant engagement for study retention. Lastly, participants from a tertiary referral center may not fully represent the generalized tic community. However, we hope our broad recruitment strategy and virtual study visits will facilitate a diverse and inclusive sampling of the patient population.