Trends and patterns in EU(7)-PIM prescribing to elderly patients in Germany

Selke-Krulichova, Iva; Selke, Gisbert; Thürmann, Petra A.

doi:10.1007/s00228-021-03148-3

Cited by 13 publications

(18 citation statements)

References 32 publications

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“…The major risk factors for breast cancer include menarche age, menopause age, first pregnancy age, postmenopausal estrogen supplement, oral contraceptives, diet, weight gain, and so on. Imaging techniques such as B ultrasound and MRI scanning play an important role in the clinical diagnosis and treatment of breast cancer [ 17 , 18 ]. Radical mastectomy is a relatively ideal treatment for breast cancer patients.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Clinical Observation of MRI Scanning Combined with Clinical Nursing for Surgical Breast Cancer Patients

Zhang

Yin

Tao

et al. 2022

International Journal of Analytical Chemistry

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The aim of this study was to explore the application effect of perioperative nursing care for patients with breast cancer. In this paper, 100 breast cancer patients with lymphatic spread treated by breast surgery in September 2019 to December were selected as the evaluation objects. They were divided into two groups according to preoperative imaging examination, 50 cases in each group. Group A was examined by B-ultrasound before axillary lymphadenectomy, group B was examined by MRI before axillary lymphadenectomy, and group C was examined by B-ultrasound and MRI before axillary lymphadenectomy. The facts in the three groups of disease findings were compared. Compared with the control group, the proportion of negative emotions (such as stress and depression) in the control group decreased (P<0.05). The decrease in blood cortisol was higher than in the control group ( P < 0.05 ). Improving the existing cancer surgery can improve the patient’s heart rate and reduce blood cortisol so as to improve the patient’s joint function and quality of life. The difficulty of nursing patients will also be reduced, which is medically necessary.

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Section: Experimental Results and Analysismentioning

confidence: 99%

Clinical Observation of MRI Scanning Combined with Clinical Nursing for Surgical Breast Cancer Patients

Zhang

Yin

Tao

et al. 2022

International Journal of Analytical Chemistry

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“…Dieser Anteil von nahezu 50 % aller Seniorinnen und Senioren kontrastiert stark zu früheren Untersuchungen, wo der Anteil der über-65-Jährigen mit einer PIM-Verordnung zwischen 15 und 25 % lag (Amann et al 2012;Selke Krulichová et al 2021). Allerdings bezogen sich diese Zahlen auf die originale PRIS-CUS-Liste, die nur halb so viele Wirkstoffe enthielt.…”

Section: Verordnungen Von Priscus-medikamentenunclassified

“…Die hiermit verbundenen Risiken wie die Zunahme von Infektionen und Frakturen durch Osteoporose sind eindeutig belegt (Thürmann 2022) und bewegten die Fachleute dazu, diese Therapiedauer als Obergrenze festzulegen. Dieses PIM-Kriterium wurde schon in der EU(7)-PIM-Liste eingeführt, was auch die deutlich höheren PIM-Verordnungsraten unter Anwendung dieser Liste (mit)erklärt (Novaes et al 2017;Grina und Briedis 2017;Muhlack et al 2018;Selke Krulichová et al 2021). Unterschiede in der Häufigkeit dieses PIM-Kriteriums lassen sich auch durch die unterschiedlichen Arten der Datensätze erklären.…”

Section: Diskussionunclassified

“…Für die vorhandenen PIM-Listen gibt es zahlreiche Belege, dass die Einnahme von PIMs mit unerwünschten Ereignissen verbunden ist, u. a. mit einem erhöhten Risiko für Stürze, Krankenhausaufnahmen und teilweise sogar mit einer erhöhten Mortalität (Mekonnen et al 2021;Xing et al 2019). (Amann et al 2012;Endres et al 2018;Selke Krulichová et al 2021). Die originale PRISCUS-Liste (Holt et al 2010) führt insgesamt 83 Wirkstoffe auf, von denen einige nur bei einer bestimmten Darreichungsform als PIM gelten, was sich über die Pharmazentralnummer (PZN) aus den Verordnungsdaten identifizieren lässt.…”

Section: Introductionunclassified

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Potenziell inadäquate Medikation für ältere Menschen – PRISCUS 2.0

Thürmann

Mann

Zawinell

et al. 2022

Arzneimittel-Kompass 2022

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PRISCUS und PRISCUS 2.0: Potenziell inadäquate Medikation für den deutschen Arzneimittelmarkt -53 4.3 Datengrundlage und Methoden -54 4.4 PRISCUS-2.0-Arzneistoffe -55 4.5 Ergebnisse -56 4.5.1 Verordnungen von PRISCUS-Medikamenten -58 4.5.2 Verordnungen von PRISCUS-2.0-Medikamenten nach Alter und Geschlecht -58 4.5.3 Verordnungen von PRISCUS-2.0-Medikamenten nach Wirkstoffen -61 4.5.4Verordnungen von PRISCUS-2.0-Medikamenten nach Facharztgruppen -64 4.5.5Verordnungen von PRISCUS-2.0-Medikamenten ausgewählter Wirkstoffgruppen nach Facharztgruppen -66 4.5.6Verordnungen von PRISCUS-2.0-Medikamenten in den Regionen Deutschlands -71

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“…In this second case, PIPs are detected in large databases, using either lists of potentially inappropriate medications [ 7 ] or algorithms that translate multiple criteria rules [ 8 ]. The algorithms integrating the clinical, biological and prescription data were first designed to detect potentially inappropriate medications [ 9 , 10 ] and then permitted to detect both prescriptions omissions and potentially inappropriate medications, based on STOPP/START v1 criteria [ 11 ]. An algorithm based on several rules (START and STOPP v2 criteria and the Beers Criteria) is announced in the COME-ON study protocol (Collaborative approach to Optimize MEdication use for Older people in Nursing homes) [ 8 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study

et al. 2021

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(1) Background: Some medications may be dangerous for older patients. Potentially inappropriate medication prescribing (PIP) among older patients represents a significant cause of morbidity. The aim of this study was to create an algorithm to detect PIP in a geriatric database (Multidomain Alzheimer Preventive Trial (MAPT) study), and then to assess the algorithm construct validity by comparing the prevalence of PIP and associated factors with literature data. (2) Methods: An algorithm was constructed to detect PIP and was based on different explicit criteria among which the European list of potentially inappropriate medications (EU(7)-PIM), the STOPP and START version 2 tools. For construct validity assessment, logistic mixed-effects model repeated measures analyses were used to identify factors associated with PIP. (3) Results: Prevalence of PIP was 59.0% with the EU(7)-PIM list criteria, 43.2% with the STOPP criteria and 51.3% with the START criteria. Age, polypharmacy, and higher Charlson comorbidity index were associated with PIP. (4) Conclusions: Prevalence of PIP and associated factors are consistent with literature data, supporting the construct validity of our algorithm. This algorithm opens up interesting perspectives both in terms of analysis of very large databases and integration into e-prescribing or pharmaceutical validation software.

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Trends and patterns in EU(7)-PIM prescribing to elderly patients in Germany

Cited by 13 publications

References 32 publications

Clinical Observation of MRI Scanning Combined with Clinical Nursing for Surgical Breast Cancer Patients

Clinical Observation of MRI Scanning Combined with Clinical Nursing for Surgical Breast Cancer Patients

Potenziell inadäquate Medikation für ältere Menschen – PRISCUS 2.0

Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study

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