RESUMEN
In this chapter, we review how ligands, both agonists and antagonists, for the major classes of adrenoreceptors, are utilized in acute care clinical settings. Adrenergic ligands exert their effects by interacting with the three major classes of adrenoceptors. Adrenoceptor agonists and antagonists have important applications, ranging from treatment of hypotension to asthma, and have proven to be extremely useful in a variety of clinical settings of acute care from the operating room to the critical care environment. Continued research interpreting the mechanisms of adrenoreceptors may help the discovery of new drugs with more desirable clinical profiles.
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Receptores Adrenérgicos , Humanos , Ligandos , Receptores Adrenérgicos/metabolismo , Receptores Adrenérgicos/efectos de los fármacos , Antagonistas Adrenérgicos/farmacología , Antagonistas Adrenérgicos/uso terapéutico , Animales , Cuidados Críticos , Agonistas Adrenérgicos/farmacología , Agonistas Adrenérgicos/uso terapéuticoRESUMEN
BACKGROUND: The Centers for Disease Control and Prevention's (CDC) March 2016 opioid prescribing guideline did not include prescribing recommendations for surgical pain. Although opioid over-prescription for surgical patients has been well-documented, the potential effects of the CDC guideline on providers' opioid prescribing practices for surgical patients in the United States remains unclear. METHODS: We conducted an interrupted time series analysis (ITSA) of 37,009 opioid-naïve adult patients undergoing inpatient surgery from 2013-2019 at an academic medical center. We assessed quarterly changes in the discharge opioid prescription days' supply, daily and total doses in oral morphine milligram equivalents (OME), and the proportion of patients requiring opioid refills within 30 days of discharge. RESULTS: The discharge opioid prescription declined by -0.021 (95% CI, -0.045 to 0.003) days per quarter pre-guideline versus -0.201 (95% CI, -0.223 to -0.179) days per quarter post-guideline (p < 0.0001). Likewise, the mean daily and total doses of the discharge opioid prescription declined by -0.387 (95% CI, -0.661 to -0.112) and -7.124 (95% CI, -9.287 to -4.962) OME per quarter pre-guideline versus -2.307 (95% CI, -2.560 to -2.055) and -20.68 (95% CI, -22.66 to -18.69) OME per quarter post-guideline, respectively (p < 0.0001). Opioid refill prescription rates remained unchanged from baseline. CONCLUSIONS: The release of the CDC opioid guideline was associated with a significant reduction in discharge opioid prescriptions without a concomitant increase in the proportion of surgical patients requiring refills within 30 days. The mean prescription for opioid-naïve surgical patients decreased to less than 3 days' supply and less than 50 OME per day by 2019.
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Analgésicos Opioides , Alta del Paciente , Adulto , Analgésicos Opioides/uso terapéutico , Centers for Disease Control and Prevention, U.S. , Hospitales , Humanos , Dolor Postoperatorio/tratamiento farmacológico , Dolor Postoperatorio/prevención & control , Pautas de la Práctica en Medicina , Estados Unidos/epidemiologíaRESUMEN
BACKGROUND: Extended-release (ER) opioids are indicated for the management of persistent moderate to severe pain in patients requiring around-the-clock opioid analgesics for an extended period of time. Concerns have been raised regarding safety of ER opioids due to its potential for abuse and dependence. However, little is known about perioperative prescribing practices of ER opioids. This study assessed perioperative prescribing practices of ER opioids in noncancer surgical patients stratified by type of opioid exposure prior to admission and examined predictors of postoperative opioid administration in oral morphine equivalents (OME). METHODS: This was a retrospective cohort study using the University of California San Francisco Medical Center electronic health record data. This study included 25,396 adult noncancer patients undergoing elective surgery under general anesthesia in the period 2015-2018. The primary study outcome was predictors of postoperative administration of opioids in hospitalized surgical patients. Secondary outcomes included patients discontinued and initiated on ER opioids during their hospital stay. RESULTS: substance use disorder diagnosis and use of opioids, surgery type, and postoperative administration of nonopioid analgesics were associated with postoperative administration of opioids (P < .0001). The estimated adjusted mean (95% confidence interval [CI]) of postoperative administration of OME prior to admission in ER opioid users (170.08 mg; 147.08-196.67) was twice the amount for opioid-naïve patients (81.36 mg; 70.7-93.63; P < .0001). One in 5 prior to admission ER opioid users were weaned off ER opioids while hospitalized without adversely affecting their postoperative pain or hospital length of stay (LOS). Four of 5 patients who used ER opioids prior to admission also received ER opioids after surgery, whereas, 1 in 100 opioid-naïve patients received ER opioids during their hospital stay. CONCLUSIONS: We found significant variability in the perioperative prescribing practices of ER opioids in hospitalized noncancer surgical patients by use of opioids prior to admission and surgery type. Pain medicine practitioners and surgeons may play a significant role tackling the surgery-related risk of exposure to ER opioids and decreasing opioid-related complications.
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Analgésicos Opioides , Prescripciones de Medicamentos/estadística & datos numéricos , Procedimientos Quirúrgicos Electivos/estadística & datos numéricos , Periodo Perioperatorio/estadística & datos numéricos , Pautas de la Práctica en Medicina , Adulto , Anciano , Analgésicos no Narcóticos/uso terapéutico , Anestesia General , Estudios de Cohortes , Preparaciones de Acción Retardada , Procedimientos Quirúrgicos Electivos/clasificación , Femenino , Humanos , Tiempo de Internación , Masculino , Persona de Mediana Edad , Trastornos Inducidos por Narcóticos/epidemiología , Dolor Postoperatorio/tratamiento farmacológico , Dolor Postoperatorio/epidemiología , Periodo Posoperatorio , Factores de Riesgo , Resultado del TratamientoRESUMEN
BACKGROUND: Improper opioid prescription after surgery is a well-documented iatrogenic contributor to the current opioid epidemic in North America. In fact, opioids are known to be overprescribed to liver transplant patients, and liver transplant patients with high doses or prolonged postsurgical opioid use have higher risks of graft failure and death. METHODS: This is a retrospective cohort study of 552 opioid-naive patients undergoing liver transplant at an academic center between 2012 and 2019. The primary outcome was the discrepancy between the prescribed discharge opioid daily dose and each patient's own inpatient opioid consumption 24 h before discharge. Variables were analyzed with Wilcoxon and chi-square tests and logistic regression. RESULTS: Opioids were overprescribed in 65.9% of patients, and 54.3% of patients who required no opioids the day before discharge were discharged with opioid prescriptions. In contrast, opioids were underprescribed in 13.4% of patients, among whom 27.0% consumed inpatient opioids but received no discharge opioid prescription. The median prescribed opioid daily dose was 333.3% and 56.3% of the median inpatient opioid daily dose in opioid overprescribed and underprescribed patients, respectively. Importantly, opioid underprescribed patients had higher rates of opioid refill 1 to 30 and 31 to 90 d after discharge, and the rate of opioid underprescription more than doubled from 2016 to 2019. CONCLUSIONS: Opioids are both over- and underprescribed to liver transplant patients, and opioid underprescribed patients had higher rates of opioid refill. Therefore, we proposed to prescribe discharge opioid prescriptions based on liver transplant patients' inpatient opioid consumption to provide patient-centered opioid prescriptions.
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Trasplante de Hígado , Trasplantes , Humanos , Trasplante de Hígado/efectos adversos , Analgésicos Opioides/efectos adversos , Estudios Retrospectivos , PrescripcionesRESUMEN
BACKGROUND: Machine learning (ML) may improve clinical decision-making in critical care settings, but intrinsic biases in datasets can introduce bias into predictive models. This study aims to determine if publicly available critical care datasets provide relevant information to identify historically marginalized populations. METHOD: We conducted a review to identify the manuscripts that report the training/validation of ML algorithms using publicly accessible critical care electronic medical record (EMR) datasets. The datasets were reviewed to determine if the following 12 variables were available: age, sex, gender identity, race and/or ethnicity, self-identification as an indigenous person, payor, primary language, religion, place of residence, education, occupation, and income. RESULTS: 7 publicly available databases were identified. Medical Information Mart for Intensive Care (MIMIC) reports information on 7 of the 12 variables of interest, Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) on 7, COVID-19 Mexican Open Repository on 4, and eICU on 4. Other datasets report information on 2 or fewer variables. All 7 databases included information about sex and age. Four databases (57%) included information about whether a patient identified as native or indigenous. Only 3 (43%) included data about race and/or ethnicity. Two databases (29%) included information about residence, and one (14%) included information about payor, language, and religion. One database (14%) included information about education and patient occupation. No databases included information on gender identity and income. CONCLUSION: This review demonstrates that critical care publicly available data used to train AI algorithms do not include enough information to properly look for intrinsic bias and fairness issues towards historically marginalized populations.
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COVID-19 , Humanos , Masculino , Femenino , Identidad de Género , Algoritmos , Cuidados Críticos , Aprendizaje AutomáticoRESUMEN
BACKGROUND: Although postoperative opioid overprescription has been well studied, little is known about opioid underprescription. This study aims to determine the extent of improper discharge opioid prescription in patients undergoing general surgery procedures. STUDY DESIGN: This retrospective cohort study investigated opioid-naïve adult patients who underwent inpatient general surgery at an academic medical center between June 2012 and December 2019. The primary outcome was the difference between individual patient's inpatient daily oral morphine milligram equivalent (MME) 24 hours before discharge and patient's prescribed daily MME at discharge. The data were analyzed using chi-square, Mann-Whitney, Wilcoxon, and Kruskal-Wallis tests and multivariable logistic regression. RESULTS: Among 5,531 patients, 58.1% had opioid overprescription, and 22.4% had opioid underprescription. Median prescribed daily MME was 311% of median inpatient daily MME in overprescribed patients and 56.3% of median inpatient daily MME in underprescribed patients. About half (52.3%) of patients who consumed no opioids on the day before discharge were opioid overprescribed, and 69.9% of patients who required inpatient daily opioid of >100 MME were opioid underprescribed. Opioid-underprescribed patients had an increased opioid refill rate 1 to 30 days after discharge, whereas opioid-overprescribed patients had an increased refill rate 31 to 60 days after discharge. From 2017 to 2019, the percentage of overprescribed patients decreased by 35.8%, but the percentage of underprescribed patients increased by 42.4%. CONCLUSIONS: Although avoiding postoperative opioid overprescription remains imperative, preventing postoperative opioid underprescription is also essential. We recommend using a patient-centered approach to match the daily dose of opioid prescription with each patient's inpatient daily opioid consumption.
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Analgésicos Opioides , Alta del Paciente , Adulto , Humanos , Analgésicos Opioides/uso terapéutico , Estudios Retrospectivos , Dolor Postoperatorio/tratamiento farmacológico , Dolor Postoperatorio/prevención & control , Pautas de la Práctica en MedicinaRESUMEN
ABSTRACT: Although postsurgical overprescription has been well-studied, postsurgical opioid underprescription remains largely overlooked. This retrospective cohort study was to investigate the extent of discharge opioid overprescription and underprescription in patients after neurological surgeries. Six thousand nine hundred forty-nine adult opioid-naive patients who underwent inpatient neurosurgical procedures at the University of California San Francisco were included. The primary outcome was the discrepancy between individual patient's prescribed daily oral morphine milligram equivalent (MME) at discharge and patient's own inpatient daily MME consumed within 24 hours of discharge. Analyses include Wilcoxon, Mann-Whitney, Kruskal-Wallis, and χ 2 tests, and linear or multivariable logistic regression. 64.3% and 19.5% of patients were opioid overprescribed and underprescribed, respectively, with median prescribed daily MME 360% and 55.2% of median inpatient daily MME in opioid overprescribed and underprescribed patients, respectively. 54.6% of patients with no inpatient opioid the day before discharge were opioid overprescribed. Opioid underprescription dose-dependently increased the rate of opioid refill 1 to 30 days after discharge. From 2016 to 2019, the percentage of patients with opioid overprescription decreased by 24.8%, but the percentage of patients with opioid underprescription increased by 51.2%. Thus, the mismatched discharge opioid prescription in patients after neurological surgeries presented as both opioid overprescription and underprescription, with a dose-dependent increased rate of opioid refill 1 to 30 days after discharge in opioid underprescription. Although we are fighting against opioid overprescription to postsurgical patients, we should not ignore postsurgical opioid underprescription.
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BACKGROUND: Above-the-knee amputations (AKA) are common surgeries that frequently use neuraxial or peripheral nerve blocking techniques for both intraoperative and postoperative analgesia. It is not uncommon that patients present with contraindications to neuraxial anesthesia. CASE PRESENTATION: We identified a relatively novel use of erector spinae plane block (ESP) for above-the-knee amputation that allows for adequate pain control postoperatively when there are contraindications for neuraxial. CONCLUSION: While data on ESP at the thoracic level is well described, less is known about the expected coverage for lumbar ESP. This case suggests that at the level of L3, there is sufficient dermatomal spread for an AKA.
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BACKGROUND: Opioids and multimodal analgesia are widely administered to manage postoperative pain. However, little is known on how improvements in inpatient pain control are correlated with high-risk (> 90 daily OME) discharge opioid prescriptions for opioid naïve surgical patients. METHODS: We conducted a retrospective observational study of adult opioid-naïve patients undergoing surgery from June 2012 through December 2018 at a large academic medical center. We used multivariate logistic regression to assess whether multimodal analgesic drugs consumed in the 24 h prior to discharge was associated with a reduction in high-risk opioid discharge prescriptions. We identified other risk factors for receiving a high-risk discharge opioid prescription. RESULTS: Among the 32,511 patients, 83% of patients were discharged with an opioid prescription. In 2013, 34.1% of patients with a discharge opioid prescription received a high-risk prescription and this declined to 17.7% by 2018. Use of multimodal analgesic agents during the final 24 h of hospitalization increased each year, with over 80% receiving at least one multimodal analgesic agent by 2018. The median OME consumed in the 24 h prior to discharge peaked in 2013 at 31 and steadily decreased to 19.8 by 2018. There was a significant association between the use of acetaminophen in the 24 h prior to discharge and a high-risk prescription at discharge (p < 0.01). OMEs consumed in the 24 h prior to discharge was a significant predictor of receiving a high-risk discharge prescription, even at low doses. Other factors associated with receipt of a high-risk discharge opioid prescription included male gender, race, history of anxiety disorder, and discharge service. DISCUSSION: Use of multimodal analgesia regimens in hospitalized surgical patients in the 24 h prior to hospital discharge increased between 2012 and 2018. Simultaneously, opioid use prior to hospital discharge decreased. Despite these gains, approximately one in five discharge prescriptions was high-risk (> 90 daily OME). In addition, we found that prescribing of discharge opioids above inpatient opioid requirements remains common in opioid naive surgical patients. CONCLUSION: Providers should account for pre-discharge opioid consumption and use of multimodal analgesia when considering the total and daily OME's that may be appropriate for an individual surgical patient on the discharge opioid prescription.
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We present a unique case of a broken fragment of a hypodermic needle breaking and embolizing to the heart. This needle subsequently penetrated the right ventricle and the patient developed hemopericardium which resulted in cardiac tamponade physiology. DATA SOURCES: None. STUDY SELECTION: None. DATA EXTRACTION: None. DATA SYNTHESIS: Recognizing the potential for unusual and serious complications of IV illicit drug use is an important part of providing effective and timely medical care in this vulnerable population. CONCLUSIONS: An embolic needle phenomenon can have significant sequela, including direct cardiac trauma leading to tamponade and subsequent cardiac collapse. Partnering with the patient to take a detailed history was critical in uncovering the underlying etiology of this patient's cardiogenic shock.
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This cohort study examines the extent of mismatched opioid prescribing between hospitalization and discharge after otolaryngologyhead and neck surgery.