2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Pharmacotherapy in the Management of Anxiety and Pain During Acute Coronary Syndromes and the Risk of Developing Symptoms of Posttraumatic Stress Disorder

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Benzodiazepines and morphine are given during acute coronary syndromes (ACSs) to alleviate anxiety and pain, and β‐blockers may also reduce pain. ACS may induce posttraumatic stress disorder (PTSD) symptoms (PTSS). When taken during trauma other than ACS, benzodiazepines increase the risk of PTSS, but it is unknown if benzodiazepines increase the risk of PTSS in ACS. We examined the effects of drug exposure during ACS on the development of PTSS.

          Methods and Results

          Study participants were 154 patients with a verified ACS. Baseline demographics, clinical variables, and psychological measures were obtained through a medical history, through a psychometric assessment, and from patient records, and used as covariates in linear regression analysis. Three months after ACS, the severity of PTSS was assessed with the Clinician‐Administered PTSD Scale. During ACS, 37.7% of patients were exposed to benzodiazepines, whereas 72.1% were exposed to morphine and 88.3% were exposed to β‐blockers, but only 7.1% were exposed to antidepressants. Eighteen (11.7%) patients developed clinical PTSD. Adjusting for all covariates, benzodiazepine use was significantly associated with the Clinician‐Administered PTSD Scale total severity score (unstandardized coefficient B [SE], 0.589 [0.274]; partial r=0.18; P=0.032) and the reexperiencing subscore (B [SE], 0.433 [0.217]; partial r=0.17; P=0.047). Patients exposed to benzodiazepines had an almost 4‐fold increased relative risk of developing clinical PTSD, adjusting for acute stress disorder symptoms (odds ratio, 3.75; 95% CI, 1.31–10.77). Morphine, β‐blockers, and antidepressants showed no predictive value.

          Conclusions

          Notwithstanding short‐term antianxiety effects during ACS, benzodiazepine use might increase the risk of ACS‐induced PTSS with clinical significance, thereby compromising patients' quality of life and prognosis.

          Registration

          URL: https://www.clinicaltrials.gov; Unique identifier: NCT01781247.

          Related collections

          Most cited references48

          • Record: found
          • Abstract: not found
          • Article: not found

          2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

            The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE).

              To develop a clinical risk prediction tool for estimating the cumulative six month risk of death and death or myocardial infarction to facilitate triage and management of patients with acute coronary syndrome. Prospective multinational observational study in which we used multivariable regression to develop a final predictive model, with prospective and external validation. Ninety four hospitals in 14 countries in Europe, North and South America, Australia, and New Zealand. 43,810 patients (21,688 in derivation set; 22,122 in validation set) presenting with acute coronary syndrome with or without ST segment elevation enrolled in the global registry of acute coronary events (GRACE) study between April 1999 and September 2005. Death and myocardial infarction. 1989 patients died in hospital, 1466 died between discharge and six month follow-up, and 2793 sustained a new non-fatal myocardial infarction. Nine factors independently predicted death and the combined end point of death or myocardial infarction in the period from admission to six months after discharge: age, development (or history) of heart failure, peripheral vascular disease, systolic blood pressure, Killip class, initial serum creatinine concentration, elevated initial cardiac markers, cardiac arrest on admission, and ST segment deviation. The simplified model was robust, with prospectively validated C-statistics of 0.81 for predicting death and 0.73 for death or myocardial infarction from admission to six months after discharge. The external applicability of the model was validated in the dataset from GUSTO IIb (global use of strategies to open occluded coronary arteries). This risk prediction tool uses readily identifiable variables to provide robust prediction of the cumulative six month risk of death or myocardial infarction. It is a rapid and widely applicable method for assessing cardiovascular risk to complement clinical assessment and can guide patient triage and management across the spectrum of patients with acute coronary syndrome.
                Bookmark

                Author and article information

                Contributors
                roland.vonkaenel@usz.ch
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                12 January 2021
                19 January 2021
                : 10
                : 2 ( doiID: 10.1002/jah3.v10.2 )
                : e018762
                Affiliations
                [ 1 ] Department of Consultation‐Liaison Psychiatry and Psychosomatic Medicine University Hospital Zurich University of Zurich Switzerland
                [ 2 ] Department of Cardiology Clinic Barmelweid Barmelweid Switzerland
                [ 3 ] Clienia Schlössli AG Oetwil am See, Zurich Switzerland
                [ 4 ] Complementary and Integrative Medicine University Hospital Zurich University of Zurich Switzerland
                [ 5 ] Department of Health Psychology and Behavioral Medicine University of Bern Switzerland
                [ 6 ] University of Zurich Switzerland
                [ 7 ] Department of Cardiology University Hospital Zurich University of Zurich Switzerland
                [ 8 ] Cardiac Imaging Department of Nuclear Medicine University Hospital Zurich University of Zurich Switzerland
                Author notes
                [*] [* ] Correspondence to: Roland von Känel, MD, Department of Consultation‐Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Culmannstrasse 8, CH‐8091 Zurich, Switzerland. E‐mail: roland.vonkaenel@ 123456usz.ch

                [*]

                Dr Princip and Dr Pazhenkottil contributed equally to this work.

                For Sources of Funding and Disclosures, see page 9.

                Author information
                https://orcid.org/0000-0002-8929-5129
                Article
                JAH35874
                10.1161/JAHA.120.018762
                7955310
                33432839
                ecd7b63e-106f-41f6-b167-911b3dbb36d7
                © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 07 August 2020
                : 04 December 2020
                Page count
                Figures: 0, Tables: 3, Pages: 11, Words: 8088
                Funding
                Funded by: Swiss National Science Foundation
                Award ID: 140960
                Funded by: Teaching and Research Directorate, Bern University Hospital
                Categories
                Original Research
                Original Research
                Health Services and Outcomes Research
                Custom metadata
                2.0
                19 January 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:20.01.2021

                Cardiovascular Medicine
                cardiovascular disease,pharmacotherapy,posttraumatic stress disorder,psychological stress,risk factor,cardiopulmonary resuscitation and emergency cardiac care,quality and outcomes

                Comments

                Comment on this article