RESUMEN

Background: The Anesthesiologist Assistant (AA) profession is gaining popularity, and as such, the number of applicants and the number of AA programs are also increasing. There is no published data on what makes a good AA student - multiple studies exist in this regard for anesthesiology residents and medical students. The Medical College Admissions Test (MCAT) and the Graduate Record Examination (GRE) have shown to have some correlation with student success in other health professions. There is no data to suggest that they can indicate potential success or academic problems during AA school. As such, this study evaluated the impact of these standardized test scores and student success in both the preclinical and clinical curricula at the Emory AA program. Methods: A retrospective analysis of MCAT scores and GRE scores was performed. 2-tailed Pearson coefficients were calculated to see if there was a relationship between higher MCAT and GRE scores and performance in our program. Results: 2- tailed Pearson coefficients showed a moderately strong correlation between MCAT scores and our AA program's science curriculum. There was a weak correlation as well between GRE scores here. The correlation dropped slightly for the MCAT and performance during our clinical curriculum, and a similar drop was noted for the GRE. Discussion: Our study shows that the MCAT appears to more strongly correlated with better performance in both the science curriculum of our program and also with our clinical program. The study likely implies that the MCAT appears to be a better gauge as to how a student will do in an AA program in comparison to the GRE. Further studies are needed to understand how to appropriately admit students who will successfully complete the rigorous AA program curriculum both at Emory and beyond.

RESUMEN

Background The impact of the coronavirus disease-2019 (COVID-19) pandemic on patients with acute gastrointestinal (GI) presentations including acute pancreatitis, diverticulitis, and GI bleeding, requiring hospitalization, has not been fully characterized at the population level in the United States. Aims We used the National Inpatient Sample to describe inpatient gastroenterology outcomes in the United States during the first year of the pandemic (2020), using 2018 and 2019 as comparator years. Methods Using the National Inpatient Sample, we explored year-to-year and month-to-month trends in hospitalizations, length of stay, and inpatient mortality for GI presentations, including luminal, biliary, infectious, inflammatory, and pancreatic diseases, with regression modeling. Relative change was used to compare time periods. Results We observed significantly lower rates of hospitalization for most acute GI conditions in 2020 relative to 2019. Despite this, we noted an increase in all-cause mortality (0.9% in 2019 and 1.1% in 2020, p<0.001) and hospital costs for patients hospitalized with acute presentations of GI-related conditions in 2020 relative to 2019. Importantly, we also observed increased mortality among COVID-19-positive patients who were hospitalized for acute pancreatitis (OR 2.56; 95% CI 1.37-6.53), variceal upper GI bleeding (OR 2.88; 95% CI 1.29-3.84), ulcerative colitis (OR 4.50; 95% CI 1.14-7.74), and acute cholangitis (OR 2.43; 95% CI 1.14-4.93). In 2020, the lowest number of admissions for all conditions occurred in April, coinciding with lockdowns ordered by most state governments. Conclusions Acute GI-related hospitalizations, in general, decreased in 2020 but this was associated with higher hospital costs and all-cause mortality increased compared with the pre-pandemic period.

RESUMEN

Objective: Bipolar Disorder (BD) is a severe mental illness associated with high rates of general medical comorbidity, reduced life expectancy, and premature mortality. Although BD has been associated with high medical hospitalization, the factors that contribute to this risk remain largely unexplored. We used baseline medical and psychiatric records to develop a supervised machine learning model to predict general medical admissions after discharge from psychiatric hospitalization. Methods: In this retrospective three-year cohort study of 71 patients diagnosed with BD (mean age=52.19 years, females=56.33%), lasso regression models combining medical and psychiatric records, as well as those using them separately, were fitted and their predictive power was estimated using a leave-one-out cross-validation procedure. Results: The proportion of medical admissions in patients with BD was higher compared with age- and sex-matched hospitalizations in the same region (25.4% vs. 8.48%). The lasso model fairly accurately predicted the outcome (area under the curve [AUC]=69.5%, 95%C.I.=55-84.1; sensitivity=61.1%, specificity=75.5%, balanced accuracy=68.3%). Notably, pre-existing cardiovascular, neurological, or osteomuscular diseases collectively accounted for more than 90% of the influence on the model. The accuracy of the model based on medical records was slightly inferior (AUC=68.7%, 95%C.I. = 54.6-82.9), while that of the model based on psychiatric records only was below chance (AUC=61.8%, 95%C.I.=46.2-77.4). Conclusion: Our findings support the need to monitor medical comorbidities during clinical decision-making to tailor and implement effective preventive measures in people with BD. Further research with larger sample sizes and prospective cohorts is warranted to replicate these findings and validate the predictive model.

RESUMEN

This study aimed to determine COVID-19 recovery time and identify predictors among hospitalized patients in the Dhanusha District of Madhesh Province, Nepal. This hospital-based longitudinal study involved 507 COVID-19 patients admitted to three distinct medical facilities for therapeutic intervention between April and October 2021. Data were collected for patient demography, symptoms, vital signs, oxygen saturation levels, temperatures, heart rates, respiratory rates, blood pressure measurements, and other health-related conditions. Kaplan-Meier survival curves estimated the recovery time, and a Cox proportional hazard model was used to identify the predictors of recovery time. For the total participants, mean age was 51.1 (SD = 14.9) years, 68.0% were males. Of the total patients, 49.5% recovered, and 16.8% died. The median for patient recovery was 26 days (95% CI: 25.1-26.7). Patients with severe or critical conditions were less likely to recover compared to those with milder conditions (hazard ratio (HR) = 0.34, 95% CI: 0.15-0.79; p = 0.012). In addition, an increase in oxygen saturation was associated with an elevated likelihood of recovery (HR = 1.09, 95% CI = 1.01-1.17, p = 0.018). This study underscores the need for early admission to hospital and emphasizes the targeted interventions in severe cases. Additionally, the results highlight the importance of optimizing oxygen levels in COVID-19 patient care.

RESUMEN

Background: Palliative care has shown benefit in patients with cancer; however, little is known about the overall utilization of palliative care services in patients with pancreatic cancer and the impact of aggressive end-of-life interventions. This study aimed to explore the incidence of palliative care consultations (PCCs) in hospitalized patients with pancreatic cancer in the United States and the association between palliative care consultations and the use of aggressive interventions at the end of life. Methods: We conducted a retrospective study of patients hospitalized with pancreatic cancer. We examined patient records for 6 months prior to death for the presence of PCCs and aggressive end-of-life (EOL) interventions-emergency department visits, chemotherapy, and ICU stays. The use of EOL interventions was compared between those who did and those who did not receive PCCs, using Chi-square and Whitney U tests. Results: Of the 2883 identified patients, 858 had evidence of a PCC in their record in the last 6 months of life. Patients receiving PCCs were older at the time of death and more likely to receive chemotherapy (22.4% vs. 10.6%) in the last 6 months of life compared to those not receiving a palliative care consult. Similarly, patients with PCCs were more likely to have aggressive interventions in the EOL period. Conclusions: Less than 30% of patients with pancreatic cancer received a PCC. Those who received a PCC had more aggressive interventions in the end-of-life period, differing from what the prior literature has shown. Future investigations are necessary to explore the components and timing of PC and investigate their influence on the utilization of aggressive interventions and patient-centered outcomes.

RESUMEN

BACKGROUND: Sepsis is one of the major causes of morbidity and mortality in burn patients. However, the optimal timing of admission which can minimize the probability of sepsis is still unclear. This study aims to determine the optimal time period of admission for severely burned patients and find out the possible reasons for it. METHOD: 185 victims to the Kunshan factory aluminum dust explosion accident, which happened on August 2nd, 2014, were studied. The optimal cutpoint for continuous variables in survival models was determined by means of the maximally selected rank statistic. Univariate and multivariate analyses were further conducted to verify that admission time was not a risk factor for sepsis. Subgroup analyses were performed to find out possible contributing factors for the result. RESULT: The cutoff point for admission time was determined as seven hours, which was supported by the survival curve (p < 0.001). Multivariate analysis showed that, in our study population, delayed admission time was not a risk factor for sepsis (HR = 0.610, 95 %CI = 0.415 - 0.896, p = 0.012). Subgroup analyses showed that "Tracheotomy before admission" (p = 0.002), "Whole blood transfusion" (p < 0.001), "Hemodynamic instability before admission" (p = 0.02), "Has a burn department in the hospital" (p = 0.009), "Has a burn ICU in the hospital" (p < 0.001), "Acute heart failure (AHF)" (p = 0.05), "acute respiratory distress syndrome (ARDS)" (p = 0.05) and "GI bleeding" (p = 0.04) were all statistically significant. CONCLUSION: In our study population, we found that delayed admission time was not a risk factor associated with a reduced incidence of sepsis among severely burned patients. This might be attributed to variations in prehospital treatments (whole blood transfusion and tracheotomy), whether the hospital had a burn department/ICU, and certain complications (AHF, ARDS and GI bleeding). It can be inferred that early prehospital care plays a crucial role in reducing sepsis risk among severe burn patients.

RESUMEN

This study focuses on Bangladeshi university entrance test-taking students mental health problems and explores the geographical distribution of these problems using GIS technique. A cross-sectional survey was conducted among 1523 university entrance test-taking students. Data were collected on participants' socio-demographic characteristics, COVID-19-related factors, admission tests, depression, and anxiety. Chi-square tests and logistic regression were performed using SPSS software. GIS mapping was used to visualize the distribution of mental health problems across districts using ArcGIS. The study found that the prevalence rates of depression and anxiety among university entrance examinees were 53.8% and 33.2%, respectively. Males exhibited higher rates of depression and anxiety compared to females, while repeat test-taking students were more susceptible to these mental health issues compared to first-time test-takers. Factors such as urban residence, personal/familial COVID-19 infections, and COVID-19 deaths in close relationships were associated with increased mental health problems. District-based distribution showed no significant variation in depression, but anxiety varied significantly. Post-hoc GIS analysis revealed variations in the distribution of depression and anxiety among males, as well as variations in anxiety distribution based on student status across districts. This study emphasizes the high prevalence of depression and anxiety among university entrance examinees, emphasizing the importance of addressing mental health risks in this population. It also suggests the need for reforms in the university entrance test-taking system to reduce psychological problems and advocates for a more inclusive approach to student admissions to alleviate mental health burdens.

Asunto(s)

RESUMEN

As of 2022, 89% of genetic counselors report being White, and 93% report being women. We examined diversity in genetic counseling (GC) program admission committees (ACs-who are responsible for deciding who will make up the future GC workforce) and student cohorts to understand the impact of recent diversification efforts, and where future work should be focused. One representative from each AC of the 57 accredited GC programs in North America in 2022 was invited to participate in a cross-sectional survey to provide information on the diversity of GC ACs and student cohorts between 2019 and 2022 for the following dimensions: race/ethnicity, gender, sexual orientation, disability status, neurodiversity, and rural or low socioeconomic status backgrounds. Members of 38/57 (67%) ACs participated. Using the Cochran-Armitage test for trends, significant increases were observed for the proportion of individuals of a racial/ethnic minority within ACs (from 9% in 2019 to 18% in 2022; p < 0.0001). There was no change for other minoritized social identities. There was no significant change over time in the proportion of students holding any of the minoritized social identities. A low correlation was found between the diversity of ACs and student cohorts. This study reaffirms the need for greater diversification efforts within ACs and student cohorts. Increased transparency about the social identities of AC members and about ACs' commitment to diversification may facilitate the diversification of the profession.

RESUMEN

OBJECTIVES: The aim of the present study was to assess the effect of repeated laboratory measurement of C-reactive protein (CRP) and leukocyte count on the decision whether to admit or dicharge the patient with localized infections who received antibiotics at the Emergency Department (ED) observation unit. METHODS: Adult patients with respiratory, urinary tract and abdominal infections, observed at the ED after antibiotic administration, in whom repeated measurements of CRP and leukocyte count were performed within 24 h, were included. They were initially grouped as planned discharge, planned admission and unclear attitude towards admission. Initial and repeated CRP and leukocyte count results, clinical dynamics (improvement, worsening, unchanged) and clinical decision about discharge or admission, were recorded. RESULTS: A total of 1,038 patients were eligible for inclusion. No significant differences in initial CRP and leukocyte count values were observed, nor any association of CRP and leukocyte count changes with clinical dynamics. Among 504 patients eligible for discharge at second laboratory sampling according to clinical dynamics, 54.4 % were further observed or admitted. Discharged patients had an average negative absolute (p<0.001) and relative CRP change (p=0.002). Clinical dynamics, first and second CRP results and absolute CRP change were independently associated with the decision to discharge or further observe/admit. CONCLUSIONS: Schematic repetitions of CRP and leukocyte count at the ED observation unit are common, regardless of patients' clinical condition. Clinical judgment remains the main guiding factor to admit or discharge the patient, but repeated CRP testing influences the final decision, contributing to higher admission rates.

RESUMEN

Telemedicine is increasingly used in healthcare settings, including in unscheduled care. This article details the findings of a literature review that aimed to determine the benefits and limitations of using telemedicine in unscheduled care. The findings suggest that the use of telemedicine can be cost-effective for patients and healthcare providers and may reduce hospital transfer and admission rates. However, patients' digital literacy and communication needs, as well as technical issues, were identified as limitations. Further research is needed on the use of telemedicine in unscheduled care to determine how it affects patient care.

RESUMEN

Introduction: Esophagectomy patients who experience unplanned ICU admission (UIA) may experience a heavier economic burden and worse clinical outcomes than those who experience routine intensive care unit (ICU) admission. The aim of this study was to identify the risk factors for postoperative UIA in patients who underwent esophagectomy. Methods: We retrospectively included patients with esophageal cancer who underwent esophagectomy. The characteristics of postoperative UIA were described, and univariable and multivariable analyses were performed based on the logistic regression model. Furthermore, a recursive partitioning analysis was adopted to stratify the patients according to the risk of UIA. Results: A total of 628 patients were included in our final analysis, among whom 57 (9.1%) had an UIA. The patients in the UIA cohort had a higher rate of in-hospital mortality (P<0.001), longer hospital stay (P<0.001), and higher associated costs (P<0.001). Multivariable analysis showed that hybrid/open esophagectomy (OR=4.366, 95% CI=2.142 to 8.897, P<0.001), operation time (OR=1.006, 95% CI=1.002 to 1.011, P=0.007), intraoperative blood transfusion (OR=3.118, 95% CI=1.249 to 7.784, P=0.015) and the prognostic nutrition index (PNI) (OR=0.779, 95% CI=0.724 to 0.838, P<0.001) were independently associated with UIA. Conclusions: We identified several critical independent perioperative risk factors that may increase the risk of UIA following esophagectomy, and the above risk factors should be the focus of attention to reduce the incidence of postoperative UIA.

RESUMEN

Introduction: Medication history errors at hospital admission are common and effective strategies to improve the quality of medication histories are still being researched. However, studies on new approaches regarding medication history taking are often time-consuming and resource-intensive. The gold standard when evaluating the quality of medication histories is the comparison of a Best Possible Medication History to the original. However, this double collection requires significant resources, disrupts clinical procedures, and places an additional burden on patients. Therefore, more efficient study designs need to be explored. We aimed to develop a design for future studies on medication history taking that uses fewer research resources and places less strain on patients and staff. Discussion: We first identified shortcomings of the established study designs on medication history taking and subsequently defined requirements for a new design. A pragmatic study with an alternative endpoint was identified in a previous literature search. It served as the starting point from which we developed a new study design to assess the quality of approaches to medication history taking. Instead of taking a second medication history, a patient's pre-existing medication document can be used as comparator to determine the quality of the medication history. Furthermore, we defined a new primary endpoint, i.e. the number of updates per patient. Updates are differences between the newly acquired medication history and the comparator. They include discontinued, initiated, and changed medications. To enhance our proposed design, we recommend a preparatory phase to identify a suitable comparator document, and a baseline phase to assess the current process. Conclusion: We propose a more resource-efficient study design with a new endpoint. We plan to test its feasibility and evaluate whether it could enhance the efficacy of research on medication history taking in a pilot project.

RESUMEN

PURPOSE: Evaluating medical school selection tools is vital for evidence-based student selection. With previous reviews revealing knowledge gaps, this meta-analysis offers insights into the effectiveness of these selection tools. METHODS: A systematic review and meta-analysis were conducted applying the following criteria: peer-reviewed articles available in English, published from 2010 and which include empirical data linking performance in selection tools with assessment and dropout outcomes of undergraduate entry medical programs. Systematic reviews, meta-analyses, general opinion pieces, or commentaries were excluded. Effect sizes (ESs) of the predictability of academic and clinical performance within and by the end of the medicine program were extracted, and the pooled ESs were presented. RESULTS: Sixty-seven out of 2,212 articles were included, which yielded 236 ESs. Previous academic achievement predicted medical program academic performance (Cohen's d=0.697 in early program; 0.619 in end of program) and clinical exams (0.545 in end of program). Within aptitude tests, verbal reasoning and quantitative reasoning predicted academic achievement in the early program and in the last years (0.704 & 0.643, respectively). Overall aptitude tests predicted academic achievement in both the early and last years (0.550 & 0.371, respectively). Neither panel interviews, multiple mini-interviews, nor situational judgement tests (SJT) yielded statistically significant pooled ES. CONCLUSION: Current evidence suggests that learning outcomes are predicted by previous academic achievement and aptitude tests. The predictive value of SJT and topics such as selection algorithms, features of interview (e.g., content of the questions) and the way the interviewers' reports are used, warrant further research.

Asunto(s)

RESUMEN

INTRODUCTION: Pulmonary embolism (PE) is a major cause of morbidity and mortality in the United States. However, as diagnostic imaging, risk stratification tools, and treatment have evolved over time, there is a critical need for current data on the incidence, testing, admission rates, and medical management of PE in the ED setting. METHODS: This was a cross-sectional study of ED patients with PE diagnoses from 1/1/2016 to 12/31/2023 using the Epic Cosmos national database. ED visits were identified using ICD-10 codes corresponding to acute PE. Chronic PEs were excluded. Outcomes included total ED visits, admission rates, anticoagulant treatment prescribed from the ED, and thrombolytic therapy. Anticoagulant prescriptions included warfarin, enoxaparin, dabigatran, apixaban, rivaroxaban, edoxaban, and betrixaban. Thrombolytic agents included alteplase, tenecteplase, and urokinase. We also assessed changes in the overall rate of CT pulmonary angiograms (CTPA) performed. RESULTS: Out of 186,138,130 total ED encounters, PE represented 531,968 (0.29 %). The overall rate of PE diagnosis rose slowly from 0.20 % in 2016 to a peak of 0.35 % in 2021. Among those with PE, 363,584 (68.3 %) were admitted. The rate of admission declined over time from 75.6 % to 66.1 %. Among those prescribed anticoagulation, the most common medication was apixaban (40.0 %), followed by rivaroxaban (17.3 %), enoxaparin (6.1 %), warfarin (2.6 %), and dabigatran (0.4 %). Thrombolytics were administered in 4.5 % of cases, with the rate of thrombolytics peaking at 5.3 % in 2018 before lowering to 3.5 % in 2023. The overall rate of CTPA increased from 2.4 % to 5.0 %, while the rate of proportion of PEs diagnosed declined from 8.7 % to 6.4 %. CONCLUSION: This study highlights significant shifts in the epidemiology and management of PE within the ED setting. Overall rates of PE rose, while a larger proportion were discharged. Direct oral anticoagulants have become the predominant therapy with the majority of patients receiving apixaban. Thrombolytic use occurs in a small subset and has been declining over time. CTPA rates have risen, while the overall diagnostic yield has declined.

RESUMEN

BACKGROUND: Chronic obstructive pulmonary disease (COPD) and asthma can be treated with inhaled corticosteroids (ICS) delivered by low climate impact inhalers (dry powder inhalers) or high climate impact inhalers (pressurized metered-dose inhalers containing potent greenhouse gasses). ICS delivered with greenhouse gasses is prescribed ubiquitously and frequent despite limited evidence of superior effect. Our aim was to examine the beneficial and harmful events of ICS delivered by low and high climate impact inhalers in patients with asthma and COPD. METHODS: Nationwide retrospective cohort study of Danish outpatients with asthma and COPD treated with ICS delivered by low and high climate impact inhalers. Patients were propensity score matched by the following variables; age, gender, tobacco exposure, exacerbations, dyspnoea, body mass index, pulmonary function, ICS dose and entry year. The primary outcome was a composite of hospitalisation with exacerbations and all-cause mortality analysed by Cox proportional hazards regression. RESULTS: Of the 10,947 patients with asthma and COPD who collected ICS by low or high climate impact inhalers, 2,535 + 2,535 patients were propensity score matched to form the population for the primary analysis. We found no association between high climate impact inhalers and risk of exacerbations requiring hospitalization and all-cause mortality (HR 1.02, CI 0.92-1.12, p = 0.77), nor on pneumonia, exacerbations requiring hospitalization, all-cause mortality, or all-cause admissions. Delivery with high climate impact inhalers was associated with a slightly increased risk of exacerbations not requiring hospitalization (HR 1.10, CI 1.01-1.21, p = 0.03). Even with low lung function there was no sign of a superior effect of high climate impact inhalers. CONCLUSION: Low climate impact inhalers were not inferior to high climate impact inhalers for any risk analysed in patients with asthma and COPD.

Asunto(s)

RESUMEN

Background The COVID-19 pandemic has had a profound impact on global healthcare systems, often compared to seasonal influenza due to similarities in clinical presentation. This study aims to compare the clinical characteristics, comorbidities, and outcomes of critically ill patients with COVID-19 and those with influenza admitted to a tertiary care hospital in Islamabad, Pakistan. Methods This retrospective cohort study included 120 patients, 60 with confirmed COVID-19 and 60 with confirmed influenza, all of whom required ICU admission and mechanical ventilation between January 1, 2021, and January 1, 2024. Data were collected from electronic medical records, including demographic information, comorbidities, and clinical outcomes. Descriptive statistics were used to compare the two groups. Results The median age of COVID-19 patients was 55 years (range 30-78), while that of influenza patients was 58 years (range 31-80). Both groups had a slight male predominance (COVID-19: 66.7%, Influenza: 63.3%). Comorbidities were common in both groups, with 75.0% of COVID-19 patients and 83.3% of influenza patients having at least one comorbidity. The most common comorbidities included hypertension (COVID-19: 30.0%, Influenza: 33.3%) and diabetes (COVID-19: 20.0%, Influenza: 25.0%). Clinical outcomes revealed a higher mortality rate among influenza patients (43.3%) compared to COVID-19 patients (28.3%). ICU admission rates were identical for both groups at 66.7%, and mechanical ventilation was required for 66.7% of ICU-admitted patients in both groups. The presence of cardiovascular comorbidities significantly impacted patient outcomes, with higher mortality observed in influenza patients with such comorbidities (44.7%) compared to COVID-19 patients (28.9%). Conclusion This study highlights the significant burden of both COVID-19 and influenza on critically ill patients, particularly those with cardiovascular comorbidities. While influenza patients in this cohort exhibited higher mortality rates, both groups demonstrated substantial ICU admission rates and a need for mechanical ventilation.

RESUMEN

INTRODUCTION: The utilization of healthcare services in a growing population has raised concerns about its impact on clinical outcomes. Studies have shown that increased hospital census is associated with higher admission rates and unnecessary consults, tests, and procedures in various areas of healthcare. Traumatic brain injuries (TBIs), a significant concern due to their potential for long-term disabilities, are commonly encountered in intensive care units (ICUs) and are a leading cause of patient mortality. Despite extensive research on various aspects of TBI, the effect of the patient census on TBI outcomes remains unexplored. This study aims to investigate the relationship between healthcare provider patient census and clinical outcomes in TBI patients at a level I trauma center. METHODS: A retrospective review was conducted from 2017 to 2022. The mean number of patients per day in the trauma service was determined, with patients below this average considered to be present on low-census days and those above it on high-census days. Patient demographics, mechanisms of injury, vital signs, TBI severity, and associated injuries were analyzed. Adjusted regression analyses were conducted. RESULTS: Over the study period, 1,527 TBI patients were identified. Demographics were similar between patients admitted on high- and low-census days. Patients with moderate TBI were 30% less likely to be admitted to the ICU on high-census days, whereas there was no difference in ICU admission for patients with mild or severe TBI. Delirium was significantly higher in patients admitted on high-census days compared to those on low-census days. This was further identified to be predominantly driven by patients with mild TBI admitted on high-census days. CONCLUSION: While most outcomes remained consistent, significant rates of delirium were found in our mild TBI patients admitted on high-census days suggesting the need for additional factors in the evaluation of these patients on admission. This study also reveals potential under-triage in moderate TBI patients on high-census days as they had significantly lower rates of ICU admission. These findings emphasize the need for further investigations to optimize patient care strategies within the context of fluctuating healthcare system demands.

RESUMEN

BACKGROUND: Pharmacist-led smoking cessation programs in pre-admission clinics (PAC) have shown to increase quit attempts and achieve abstinence by the day of surgery (DOS). AIMS: To evaluate the feasibility of Pharmacist E-script Transcription Service (PETS) initiated nicotine replacement therapy (NRT) in PAC, including smoking cessation on DOS. METHODS: A single centre, pre and post-intervention pilot study conducted at an Australian public hospital PAC. In a two-month intervention period, PAC nursing staff invited smokers (≥1 cigarette/day) to see a smoking cessation PET pharmacist. Pharmacist-initiated NRT and Quitline© referrals were offered. Cessation outcomes were compared with the preceding two-month control period. PRIMARY OUTCOME: feasibility of intervention. SECONDARY OUTCOMES: DOS smoking abstinence rates and three-months post-surgery. RESULTS: PAC nurses identified 112 smokers over 4 months; 53 during pre-intervention period, and 59 during intervention period. Twenty-two intervention patients (37%) accepted seeing the pharmacist, with 16 subsequent Quitline© referrals (73%) and 11 NRT prescriptions (50%) written. The median nursing smoking status documentation time increased in the intervention period (1 min vs. 4, p < .001). The intervention did not impact pharmacist's workload. Verified abstinence increased from 8.5% (4/47) pre-intervention to 9.4% (5/53) post-intervention, p =1.00. Relapse rates in the intervention period increased (20% vs. 50%) at three-months post-surgery. CONCLUSION: A PETS-initiated NRT program in PAC is feasible and increased preoperative use of NRT and Quitline© with minimal impact on smoking cessation. SO WHAT?: This study has highlighted the importance of implementing a multidisciplinary smoking cessation program in PAC however, larger studies are needed to determine the true impact of the program on smoking cessations.

RESUMEN

OBJECTIVE: There is early evidence about Valproic acid (VPA) antiviral effect. Our aim was to investigate the incidence and severity of SARS-CoV-2 infection in VPA users as compared with the general population. MATERIAL AND METHODS: A case-control study nested within a cohort, carried out between March 1 and December 17, 2020. Retrospectively, we identified confirmed SARS-CoV-2 infection patients exposed to VPA in our health department (defined as case). We ascertained VPA regimen (all the time (AT) (292 days) or at least 20% of the study period (notAT) (≥58 days) and if VPA levels were in therapeutic range (ATR) (50-100mcg/mL) in the last 24 months. We calculated the cumulative incidence of SARS-CoV-2 infection and hospital admission in the cases, comparing it with the general unexposed VPA population (controls). RESULTS: During the study period, 6183 PCR+ were detected among 281,035 inhabitants, of these, 746 were hospitalized. 691 patients were on VPA notAT and 628 (90.1%) AT. The indication for VPA use was epilepsy in 54.9%. The incidence of PCR+ was 1.736% (OR 0.785 (95%CI 0.443-1.390) and 1.910% (OR 0.865 (95%CI 0.488-1.533), on VPA notAT and VPA AT patients, respectively vs. 2.201% in people without VPA regimen. Those patients with VPA ATR had a lower risk of PCR + (OR 0.233 (95%CI 0.057-0.951) notAT; OR 0.218 (95%CI 0.053-0.890) AT). Hospital admission incidence was lower in patient on VPA (OR was 0.543 (95% CI 0.076-3.871). CONCLUSION: Patients with VPA within the therapeutic range had a reduction of SARS-Cov-2 infection incidence greater than 75%. There is a downward trend in the risk of COVID-19 admission by SARS-CoV-2 in patients on VPA therapy. These findings warrant further investigation.

Asunto(s)