Association of the STOPP Criteria V2 and the Fall-Risk-Increasing Drugs List with Falls in Older Hospitalized Patients

Total Page:16

File Type:pdf, Size:1020Kb

Association of the STOPP Criteria V2 and the Fall-Risk-Increasing Drugs List with Falls in Older Hospitalized Patients Association of the STOPP criteria v2 and the Fall-Risk-Increasing Drugs list with falls in older hospitalized patients Master thesis Medical Informatics Kimmy Raven, BSc 2 Project information Project information Author Kimberly (Kimmy) Raven, BSc. Student number: 11025913 [email protected] Mentor Birgit Damoiseaux-Volman, MSc. PhD student SCOPE study Department of Medical Informatics, Amsterdam University Medical Centers – location AMC [email protected] Tutor Dr. Danielle Sent – Assistant professor Department of Medical Informatics, Amsterdam University Medical Centers – location AMC [email protected] Location Department of Medical Informatics, Amsterdam University Medical Centers – location AMC Meibergdreef 9, 1105 AZ Amsterdam Period December 2019 – June 2020 Table of contents 3 Table of contents English summary ..................................................................................................................................... 4 Nederlandse samenvatting ..................................................................................................................... 5 1. Introduction ........................................................................................................................................ 6 1.1 Objective ....................................................................................................................................... 7 2. Methods .............................................................................................................................................. 8 2.1. STOPPs ......................................................................................................................................... 8 2.2. FRIDs ............................................................................................................................................ 8 2.3. Selection of falls ........................................................................................................................... 9 2.4. Data retrieval ............................................................................................................................. 10 2.5. Data analysis .............................................................................................................................. 10 3. Results ............................................................................................................................................... 12 3.1. STOPPs ....................................................................................................................................... 12 3.2. FRIDs .......................................................................................................................................... 12 3.3. Falls ............................................................................................................................................ 13 Univariate logistic regression ........................................................................................................ 15 Propensity score matching............................................................................................................ 16 4. Discussion .......................................................................................................................................... 19 5. Acknowledgement ............................................................................................................................ 22 6. References ........................................................................................................................................ 23 Appendix 1. Abbreviations .................................................................................................................... 26 Appendix 2. Selection process of study population .............................................................................. 27 Appendix 3. STOPPs .............................................................................................................................. 28 Appendix 4. Characteristics of the STOPPs ........................................................................................... 33 Appendix 5. Selected FRIDs ................................................................................................................... 36 Appendix 6. Characteristics of FRIDs .................................................................................................... 37 Appendix 7. Search queries used in CTcue ........................................................................................... 38 Appendix 8. Regular expressions for problemlist search ...................................................................... 40 Appendix 9: Characteristics of the study population ............................................................................ 41 Appendix 10. Characteristics of the population with and without STOPPs .......................................... 43 Appendix 11. Characteristics of the population with and without FRIDs ............................................. 45 Appendix 12. Legend for the different ICD-10 categories .................................................................... 47 4 English summary English summary Objective Falling amongst older persons is a growing problem, also during hospitalization. This is due to its high prevalence and related fatal and nonfatal injuries. The aim of this study is to identify the association between the STOPP criteria v2 and the FRIDs list on falling in older hospitalized patients using a large dataset of routinely collected, structured and unstructured EHR data of a cohort. Subjects Hospitalized patients of 70 years and older with a hospitalization duration of at least 24 hours, admitted between November 2015 up to November 2019. Methods A large dataset of hospitalizations of a university hospital was derived from the electronic health records. Identification of STOPP violations was performed by means of the Dutch STOPP-criteria v2. Identification of FRID administrations was performed by means of a European FRIDs list. Falls were identified by searching free-text nursing and physician notes and the list of running diagnoses and complications (known as the problemlist). Univariate logistic regression and doubly-robust propensity score matching was performed to analyze the risk that STOPP violations and FRID administrations pose on the occurrence of falls. Results Data included 16,823 hospital admissions for 11,354 patients. The median age of the population was 76, and 51.8% was male. In 56.7% of the hospitalizations one or more STOPP violations were registered. FRID administrations were registered in 82.9% of the hospitalizations. One or more falls occurred in 257 (1.5%) of the hospitalizations. We found that, among others, male gender, age, length of stay, fall history, and an elevated delirium risk score (DOSS >3) increase the risk of falling in older hospitalized patients. We also found a decrease in falls in case a single FRID was administered (OR: 0.0002 (0.0001 – 0.0003)) or a single STOPP was violated (OR: 0.0042 (0.0035 – 0.0050)). However, an increase in fall risk was found when 8 or more different FRIDs were administered (OR: 4.0606 (3.9245 – 4.2047) for each additional FRID administration) or 5 or more individual STOPPs were violated (OR: 4.4823 (4.3395 – 4.6325) for each additional STOPP violated). Conclusion Overall, a prevalence of 82.9% for FRID administrations and a prevalence of 56.7% for STOPP violations was found. Furthermore, we found both a FRID administration and a STOPP violation in 54.9% of the hospitalizations. Both FRID administrations and STOPP violations showed a reduced risk of falls. However, the number of FRIDs administered and STOPPs violated does seem to increase the risk of falling in older hospitalized patients. These results would suggest that not the FRID or STOPPs itself are harmful, but the total amount are. Further research, with a larger number of fallers is needed to pose more trustworthy results. Furthermore, future research should also look at individual STOPP criteria or FRIDs medications to determine the association for these individual medications of STOPP criteria. Keywords Hospital, STOPPs, FRIDs, accidental falls, older persons Nederlandse samenvatting 5 Nederlandse samenvatting Doelstelling Vallen onder ouderen is een groeiend probleem vanwege hoge prevalentie en gerelateerde fatale en niet-fatale verwondingen. Het doel van dit onderzoek is het identificeren van de correlatie tussen de schendingen van de STOPP criteria v2 en de toedieningen van medicatie van de FRIDs lijst op vallen bij oudere, in het ziekenhuis opgenomen, patiënten. Hierbij wordt gebruik wordt gemaakt van een grote dataset van gestructureerde en ongestructureerde data uit het elektronisch patiëntendossier. Populatie In het ziekenhuis opgenomen ouderen van 70 jaar en ouder, met een opnameduur van ten minste 24 uur, opgenomen tussen November 2015 en November 2019. Methode Voor dit onderzoek is een grote dataset van ziekenhuisopnamen uit het elektronisch patiënten dossier gebruikt. Schendingen van STOPP criteria zijn geïdentificeerd door middel van de Nederlandse STOPP criteria v2. De identificatie van toedieningen van FRID medicatie is gedaan door middel van een Europese FRIDs lijst. Vallen zijn geïdentificeerd door middel van het doorzoeken van vrij-tekst data (verpleegkundige notities en notities van de arts) en de lijst met lopende
Recommended publications
  • In Silico Methods for Drug Repositioning and Drug-Drug Interaction Prediction
    In silico Methods for Drug Repositioning and Drug-Drug Interaction Prediction Pathima Nusrath Hameed ORCID: 0000-0002-8118-9823 Submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy Department of Mechanical Engineering THE UNIVERSITY OF MELBOURNE May 2018 Copyright © 2018 Pathima Nusrath Hameed All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the author. Abstract Drug repositioning and drug-drug interaction (DDI) prediction are two fundamental ap- plications having a large impact on drug development and clinical care. Drug reposi- tioning aims to identify new uses for existing drugs. Moreover, understanding harmful DDIs is essential to enhance the effects of clinical care. Exploring both therapeutic uses and adverse effects of drugs or a pair of drugs have significant benefits in pharmacology. The use of computational methods to support drug repositioning and DDI prediction en- able improvements in the speed of drug development compared to in vivo and in vitro methods. This thesis investigates the consequences of employing a representative training sam- ple in achieving better performance for DDI classification. The Positive-Unlabeled Learn- ing method introduced in this thesis aims to employ representative positives as well as reliable negatives to train the binary classifier for inferring potential DDIs. Moreover, it explores the importance of a finer-grained similarity metric to represent the pairwise drug similarities. Drug repositioning can be approached by new indication detection. In this study, Anatomical Therapeutic Chemical (ATC) classification is used as the primary source to determine the indications/therapeutic uses of drugs for drug repositioning.
    [Show full text]
  • The Role of Non-Selective Β-Blockers in Compensated Cirrhotic Patients Without Major Complications
    medicina Article The Role of Non-Selective β-Blockers in Compensated Cirrhotic Patients without Major Complications Wen-Shuo Yeh 1, Shih-Cheng Yang 1, Chih-Ming Liang 1 , Yu-Chi Li 1, Wei-Chen Tai 1, Chen-Hsiang Lee 2, Yao-Hsu Yang 3,4,5, Chien-Ning Hsu 6,7, Tzu-Hsien Tsai 8, Seng-Kee Chuah 1 and Cheng-Kun Wu 1,* 1 Division of Hepato-Gastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83330, Taiwan; [email protected] (W.-S.Y.); [email protected] (S.-C.Y.); [email protected] (C.-M.L.); [email protected] (Y.-C.L.); [email protected] (W.-C.T.); [email protected] (S.-K.C.) 2 Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83330, Taiwan; [email protected] 3 Department of Traditional Chinese Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; [email protected] 4 Health Information and Epidemiology Laboratory of Chang Gung Memorial Hospital, Chiayi 61363, Taiwan 5 School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan 6 Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83330, Taiwan; [email protected] 7 School of Pharmacy, Kaohsiung Medical University, Kaohsiung 80700, Taiwan 8 Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83330, Taiwan; [email protected] * Correspondence: [email protected]; Tel.: +886-7-731-7123 (ext.
    [Show full text]
  • Medication Risks in Older Patients with Cancer
    Medication risks in older patients with cancer 1 Medication risks in older patients (70+) with cancer and their association with therapy-related toxicity Imke Ortland1, Monique Mendel Ott1, Michael Kowar2, Christoph Sippel3, Yon-Dschun Ko3#, Andreas H. Jacobs2#, Ulrich Jaehde1# 1 Institute of Pharmacy, Department of Clinical Pharmacy, University of Bonn, An der Immenburg 4, 53121 Bonn, Germany 2 Department of Geriatrics and Neurology, Johanniter Hospital Bonn, Johanniterstr. 1-3, 53113 Bonn, Germany 3 Department of Oncology and Hematology, Johanniter Hospital Bonn, Johanniterstr. 1-3, 53113 Bonn, Germany # equal contribution Corresponding author Ulrich Jaehde Institute of Pharmacy University of Bonn An der Immenburg 4 53121 Bonn, Germany Phone: +49 228-73-5252 Fax: +49-228-73-9757 [email protected] Medication risks in older patients with cancer 2 Abstract Objectives To evaluate medication-related risks in older patients with cancer and their association with severe toxicity during antineoplastic therapy. Methods This is a secondary analysis of two prospective, single-center observational studies which included patients ≥ 70 years with cancer. The patients’ medication was investigated regarding possible risks: polymedication (defined as the use of ≥ 5 drugs), potentially inadequate medication (PIM; defined by the EU(7)-PIM list), and relevant potential drug- drug interactions (rPDDI; analyzed by the ABDA interaction database). The risks were analyzed at two different time points: before and after start of cancer therapy. Severe toxicity during antineoplastic therapy was captured from medical records according to the Common Terminology Criteria for Adverse Events (CTCAE). The association between Grade ≥ 3 toxicity and medication risks was evaluated by univariate regression.
    [Show full text]
  • DIURETICS Diuretics Are Drugs That Promote the Output of Urine Excreted by the Kidneys
    DIURETICS Diuretics are drugs that promote the output of urine excreted by the Kidneys. The primary action of most diuretics is the direct inhibition of Na+ transport at one or more of the four major anatomical sites along the nephron, where Na+ reabsorption takes place. The increased excretion of water and electrolytes by the kidneys is dependent on three different processes viz., glomerular filtration, tubular reabsorption (active and passive) and tubular secretion. Diuretics are very effective in the treatment of Cardiac oedema, specifically the one related with congestive heart failure. They are employed extensively in various types of disorders, for example, nephritic syndrome, diabetes insipidus, nutritional oedema, cirrhosis of the liver, hypertension, oedema of pregnancy and also to lower intraocular and cerebrospinal fluid pressure. Therapeutic Uses of Diuretics i) Congestive Heart Failure: The choice of the diuretic would depend on the severity of the disorder. In an emergency like acute pulmonary oedema, intravenous Furosemide or Sodium ethacrynate may be given. In less severe cases. Hydrochlorothiazide or Chlorthalidone may be used. Potassium-sparing diuretics like Spironolactone or Triamterene may be added to thiazide therapy. ii) Essential hypertension: The thiazides usually sever as primary antihypertensive agents. They may be used as sole agents in patients with mild hypertension or combined with other antihypertensives in more severe cases. iii) Hepatic cirrhosis: Potassium-sparing diuretics like Spironolactone may be employed. If Spironolactone alone fails, then a thiazide diuretic can be added cautiously. Furosemide or Ethacrymnic acid may have to be used if the oedema is regractory, together with spironolactone to lessen potassium loss. Serum potassium levels should be monitored periodically.
    [Show full text]
  • Ehealth DSI [Ehdsi V2.2.2-OR] Ehealth DSI – Master Value Set
    MTC eHealth DSI [eHDSI v2.2.2-OR] eHealth DSI – Master Value Set Catalogue Responsible : eHDSI Solution Provider PublishDate : Wed Nov 08 16:16:10 CET 2017 © eHealth DSI eHDSI Solution Provider v2.2.2-OR Wed Nov 08 16:16:10 CET 2017 Page 1 of 490 MTC Table of Contents epSOSActiveIngredient 4 epSOSAdministrativeGender 148 epSOSAdverseEventType 149 epSOSAllergenNoDrugs 150 epSOSBloodGroup 155 epSOSBloodPressure 156 epSOSCodeNoMedication 157 epSOSCodeProb 158 epSOSConfidentiality 159 epSOSCountry 160 epSOSDisplayLabel 167 epSOSDocumentCode 170 epSOSDoseForm 171 epSOSHealthcareProfessionalRoles 184 epSOSIllnessesandDisorders 186 epSOSLanguage 448 epSOSMedicalDevices 458 epSOSNullFavor 461 epSOSPackage 462 © eHealth DSI eHDSI Solution Provider v2.2.2-OR Wed Nov 08 16:16:10 CET 2017 Page 2 of 490 MTC epSOSPersonalRelationship 464 epSOSPregnancyInformation 466 epSOSProcedures 467 epSOSReactionAllergy 470 epSOSResolutionOutcome 472 epSOSRoleClass 473 epSOSRouteofAdministration 474 epSOSSections 477 epSOSSeverity 478 epSOSSocialHistory 479 epSOSStatusCode 480 epSOSSubstitutionCode 481 epSOSTelecomAddress 482 epSOSTimingEvent 483 epSOSUnits 484 epSOSUnknownInformation 487 epSOSVaccine 488 © eHealth DSI eHDSI Solution Provider v2.2.2-OR Wed Nov 08 16:16:10 CET 2017 Page 3 of 490 MTC epSOSActiveIngredient epSOSActiveIngredient Value Set ID 1.3.6.1.4.1.12559.11.10.1.3.1.42.24 TRANSLATIONS Code System ID Code System Version Concept Code Description (FSN) 2.16.840.1.113883.6.73 2017-01 A ALIMENTARY TRACT AND METABOLISM 2.16.840.1.113883.6.73 2017-01
    [Show full text]
  • (12) Patent Application Publication (10) Pub. No.: US 2005/0113314 A1 Fong Et Al
    US 20050113314A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2005/0113314 A1 Fong et al. (43) Pub. Date: May 26, 2005 (54) CICLETANINE IN COMBINATION WITH Publication Classification ORAL ANTIDIABETIC AND/OR BLOOD LIPID-LOWERING AGENTS ASA COMBINATION THERAPY FOR DIABETES (51) Int. Cl." ..................... A61K 31/70; A61K 31/4741; AND METABOLIC SYNDROME A61K 31/426; A61K 31/155; A61K 31/175 (76) Inventors: Benson M. Fong, San Francisco, CA (52) U.S. Cl. ............................ 514/25; 514/302; 514/369; (US); Glenn V. Cornett, Palo Alto, CA 514/592; 514/635 (US) Correspondence Address: KNOBBE MARTENS OLSON & BEAR LLP 2040 MAIN STREET (57) ABSTRACT FOURTEENTH FLOOR IRVINE, CA 92614 (US) Preferred embodiments of the present invention are related to novel therapeutic drug combinations and methods for (21) Appl. No.: 10/929,108 treating and/or preventing complications in patients with (22) Filed: Aug. 27, 2004 diabetes and/or metabolic Syndrome. More particularly, aspects of the present invention are related to using a Related U.S. Application Data combination of cicletanine and an oral antidiabetic agent for treating and/or preventing complications (including microal (60) Provisional application No. 60/498,916, filed on Aug. buminuria, nephropathies, retinopathies and other compli 29, 2003. cations) in patients with diabetes or metabolic Syndrome. US 2005/0113314 A1 May 26, 2005 CICLETANNE IN COMBINATION WITH ORAL women >0.85) and/or Body Mass Index >30 kg/M); 6) ANTIDIABETIC AND/OR BLOOD micro albuminuria (urine albumin excretion: 220 ugmin' LIPID-LOWERING AGENTS ASA COMBINATION or albumin/creatinine ratio22.0 mg/mmol.
    [Show full text]
  • US20050113367A1.Pdf
    US 20050113367A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2005/0113367 A1 Sada et al. (43) Pub. Date: May 26, 2005 (54) PHARMACEUTICAL COMPOSITION (52) U.S. Cl. ......................................... 514/223.5; 514/381 (75) Inventors: Toshio Sada, Tokyo (JP); Makoto (57) ABSTRACT Mizuno, Funabashi-shi (JP) A pharmaceutical composition which comprises (i) an Correspondence Address: angiotensin II receptor antagonist having the following FRISHAUF, HOLTZ, GOODMAN & CHICK, formula (I), a pharmacologically acceptable Salt thereof, a PC pharmacologically acceptable ester thereof or a pharmaco 767 THIRDAVENUE logically acceptable Salt of Such ester, and (ii) a diuretic 25TH FLOOR which is at least one thiazide compound: NEW YORK, NY 10017-2023 (US) (73) Assignee: SANKYO COMPANY, LIMITED, (I) Tokyo (JP) HC (21) Appl. No.: 11/020,624 CH N OH (22) Filed: Dec. 23, 2004 Related U.S. Application Data --> (63) Continuation of application No. 10/442,874, filed on May 20, 2003, now Pat. No. 6,878,703, which is a continuation of application No. PCT/JP01/10095, filed on Nov. 19, 2001. (30) Foreign Application Priority Data Nov. 21, 2000 (JP). 2000-354327 May 31, 2001 (JP)...................................... 2001-164009 Publication Classification The pharmaceutical composition has an excellent hypoten Sive effect and low toxicity, and therefore is useful as a (51) Int. Cl." .................... A61K 3.1/549; A61K 31/4178 medicament for treating hypertension or heart disease. US 2005/0113367 A1 May 26, 2005 PHARMACEUTICAL COMPOSITION nist and one or more diuretics to warm-blooded animals (particularly humans) at effective doses, and a pharmaceu CROSS-REFERENCE TO RELATED tical composition for administering Simultaneously or APPLICATIONS Sequentially a specific angiotensin II receptor antagonist and one or more diuretics for preventing or treating hyperten 0001.
    [Show full text]
  • Chapter 2 Methodological Aspects
    Chapter 2 Methodological aspects Chapter 2.1 Indications for antihypertensive drug use in a prescription database BLG van Wijk, OH Klungel, ER Heerdink, A de Boer Department of Pharmacoepidemiology & Pharmacotherapy, Utrecht Institute for Pharmaceutical Sciences, Utrecht University Submitted CHAPTER 2.1 Summary Background: Drugs termed antihypertensives are prescribed and registered for other indications than hypertension alone. In pharmacoepidemiological studies, this could introduce several forms of bias. The objective of this study was to determine the extent to which drugs classified as antihypertensive drugs are prescribed for other diseases than hypertension. Methods: The NIVEL database was used, containing prescriptions from a sample of general practitioners in The Netherlands. Classes of antihypertensive drugs were analyzed separately, based on ATC-codes: miscellaneous antihypertensives, diuretics, beta-blockers, calcium channel blockers and agents acting on the renin angiotensin system. In addition, these classes were further subdivided based on their specific mechanism of action. All first prescriptions of a patient in the database for an antihypertensive drug were selected. ICPC diagnoses studied were: increased blood pressure, hypertension without organ damage, hypertension with organ damage and hypertension with diabetes mellitus for which the above- defined antihypertensive drugs were prescribed. Results: Of 24,812 patients who received a first prescription for an antihypertensive drug, 63.0% received a first prescription for hypertension related diagnoses (diuretics: 54.1%, beta-blockers: 59.1%, calcium channel blockers: 60.3%, agents acting on the renin angiotensin system: 82.8% and miscellaneous antihypertensives: 64.6%). Subdividing and restricting these subgroups based on their mechanism of action yields a higher percentage of first prescriptions with hypertension related diagnoses (low-ceiling diuretics: 78.8%, selective beta- blockers: 69.9% and dihydropyridine calcium channel blockers: 76.8%).
    [Show full text]
  • Using Medications, Cosmetics, Or Eating Certain Foods Can Increase Sensitivity to Ultraviolet Radiation
    USING MEDICATIONS, COSMETICS, OR EATING CERTAIN FOODS CAN INCREASE SENSITIVITY TO ULTRAVIOLET RADIATION. INDIVIDUALS SHOULD CONSULT A PHYSICIAN BEFORE USING A SUNLAMP, IF THEY ARE TAKING MEDICATIONS. THE ITEMS LISTED ARE POTENTIAL PHOTOSENSITIZING AGENTS THAT MAY INCREASE SENSITIVITY TO ULTRAVIOLET LIGHT THAT MAY RESULT IN A PHOTOTOXIC OR PHOTOALLERGIC RESPONSES. PHOTOSENSITIZING MEDICATIONS Acetazolamide Amiloride+Hydrochlorothizide Amiodarone Amitriptyline Amoxapine Astemizole Atenolol+Chlorthalidone Auranofin Azatadine (Optimine) Azatidine+Pseudoephedrine Bendroflumethiazide Benzthiazide Bromodiphenhydramine Bromopheniramine Captopril Captopril+Hydrochlorothiazide Carbaamazepine Chlordiazepoxide+Amitriptyline Chlorothiazide Chlorpheniramine Chlorpheniramin+DPseudoephedrine Chlorpromazine Chlorpheniramine+Phenylopropanolamine Chlorpropamide Chlorprothixene Chlorthalidone Chlorthalidone+Reserpine Ciprofloxacin Clemastine Clofazime ClonidineChlorthalisone+Coal Tar Coal Tar Contraceptive (oral) Cyclobenzaprine Cyproheptadine Dacarcazine Danazol Demeclocycline Desipramine Dexchlorpheniramine Diclofenac Diflunisal Ditiazem Diphenhydramine Diphenylpyraline Doxepin Doxycycline Doxycycline Hyclate Enalapril Enalapril+Hydrochlorothiazide Erythromycin Ethylsuccinate+Sulfisoxazole Estrogens Estrogens Ethionamide Etretinate Floxuridine Flucytosine Fluorouracil Fluphenazine Flubiprofen Flutamide Gentamicin Glipizide Glyburide Gold Salts (compounds) Gold Sodium Thiomalate Griseofulvin Griseofulvin Ultramicrosize Griseofulvin+Hydrochlorothiazide Haloperidol
    [Show full text]
  • Polythiazide in the Treatment of Congestive Heart Failure
    Henry Ford Hospital Medical Journal Volume 10 | Number 4 Article 4 12-1962 Polythiazide In The rT eatment Of Congestive Heart Failure John W. Keyes Gerald M. Breneman Jose R. De Jesus Jr. Follow this and additional works at: https://scholarlycommons.henryford.com/hfhmedjournal Part of the Life Sciences Commons, Medical Specialties Commons, and the Public Health Commons Recommended Citation Keyes, John W.; Breneman, Gerald M.; and De Jesus, Jose R. Jr. (1962) "Polythiazide In The rT eatment Of Congestive Heart Failure," Henry Ford Hospital Medical Bulletin : Vol. 10 : No. 4 , 555-561. Available at: https://scholarlycommons.henryford.com/hfhmedjournal/vol10/iss4/4 This Article is brought to you for free and open access by Henry Ford Health System Scholarly Commons. It has been accepted for inclusion in Henry Ford Hospital Medical Journal by an authorized editor of Henry Ford Health System Scholarly Commons. For more information, please contact [email protected]. Henry Ford Hosp. Med. Bull. Vol. 10, December, 1962 POLYTHIAZIDE IN THE TREATMENT OF CONGESTIVE HEART FAILURE JOHN W. KEYES, M.D., GERALD M. BRENEMAN, M.D., JOSE R. DE JESUS, JR., M.D."' THE INTRODUCTION of chlorothiazide and its analogues in the past few years have made available potent oral diuretics which approach the organic mercurial compounds in efficacy. These drugs have shifted the emphasis from parenteral mercury, particularly for the long term management of various derivatives, all appear to be effective and safe diuretics. All of these compounds are active saluretic agents inhibiting tubular reabsorption of sodium, and causing increased excretion of chlorides. Potassium excretion is also significantly increased, but varies somewhat, depending on the particular analogue in use.
    [Show full text]
  • FDA Listing of Established Pharmacologic Class Text Phrases January 2021
    FDA Listing of Established Pharmacologic Class Text Phrases January 2021 FDA EPC Text Phrase PLR regulations require that the following statement is included in the Highlights Indications and Usage heading if a drug is a member of an EPC [see 21 CFR 201.57(a)(6)]: “(Drug) is a (FDA EPC Text Phrase) indicated for Active Moiety Name [indication(s)].” For each listed active moiety, the associated FDA EPC text phrase is included in this document. For more information about how FDA determines the EPC Text Phrase, see the 2009 "Determining EPC for Use in the Highlights" guidance and 2013 "Determining EPC for Use in the Highlights" MAPP 7400.13.
    [Show full text]
  • Change Notification No 9
    Northern Ireland BLOOD TRANSFUSION SERVICE Date of publication: 24th April 2006 Implementation: To be determined by each Service Change Notification UK National Blood Services No. 9 - 2006 Appendix 5 – Treatment for High Blood Pressure Applies to Tissue Donor Selection Guidelines – Bone Marrow and PBSC and also appears as Appendix 6 – Treatment for High Blood Pressure Applies to Donor Selection Guidelines - Whole Blood and Components The entry in both the guidelines is the same: Treatment for High Blood Pressure Donors who have been diagnosed with high blood pressure may donate provided that: 1. They have not suffered any adverse effects of raised blood pressure (BP) such as heart disease (angina, heart attack or heart failure), stroke, transient ischaemic attack (TIA or mini-stroke), or peripheral vascular disease (intermittent claudication, gangrene). 2. They are taking only a Beta(ß)-blocker and/or diuretic as their treatment for the raised BP. The list below shows the proper and trade names of allowed drugs. It is important to note that this list is not exclusive and that these drugs may be used to treat other conditions such as heart failure and abnormal heart rhythms (arrhythmia); both of which would mean the donor must not donate. Other medication should be assessed independently. 3. Treatment is stable. This requires: That the donor is well and not having any problems with feeling faint, fainting or giddiness. They have been on the same dose of medication for at least a month. They are not undergoing tests to find out the underlying
    [Show full text]