Quality of Co-Prescribing NSAID and Gastroprotective Medications for Elders in The Netherlands and Its Association with the Electronic Medical Record

Factors associated with COVID-19-related death using OpenSAFELY

Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide¹. There is unprecedented urgency to understand who is most at risk of severe outcomes, and this requires new approaches for the timely analysis of large datasets. Working on behalf of NHS England, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in England and holds patient data within the existing data centre of a major vendor of primary care electronic health records. Here we used OpenSAFELY to examine factors associated with COVID-19-related death. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59 (95% confidence interval 1.53-1.65)); greater age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors (HR 1.48 (1.29-1.69) and 1.45 (1.32-1.58), respectively). We have quantified a range of clinical factors associated with COVID-19-related death in one of the largest cohort studies on this topic so far. More patient records are rapidly being added to OpenSAFELY, we will update and extend our results regularly.

Factors associated with COVID-19-related death using OpenSAFELY

Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide1. There is unprecedented urgency to understand who is most at risk of severe outcomes, and this requires new approaches for the timely analysis of large datasets. Working on behalf of NHS England, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in England and holds patient data within the existing data centre of a major vendor of primary care electronic health records. Here we used OpenSAFELY to examine factors associated with COVID-19-related death. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59 (95% confidence interval 1.53-1.65)); greater age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors (HR 1.48 (1.29-1.69) and 1.45 (1.32-1.58), respectively). We have quantified a range of clinical factors associated with COVID-19-related death in one of the largest cohort studies on this topic so far. More patient records are rapidly being added to OpenSAFELY, we will update and extend our results regularly.

Factors associated with COVID-19-related death using OpenSAFELY

Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide¹. There is unprecedented urgency to understand who is most at risk of severe outcomes, and this requires new approaches for the timely analysis of large datasets. Working on behalf of NHS England, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in England and holds patient data within the existing data centre of a major vendor of primary care electronic health records. Here we used OpenSAFELY to examine factors associated with COVID-19-related death. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59 (95% confidence interval 1.53-1.65)); greater age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors (HR 1.48 (1.29-1.69) and 1.45 (1.32-1.58), respectively). We have quantified a range of clinical factors associated with COVID-19-related death in one of the largest cohort studies on this topic so far. More patient records are rapidly being added to OpenSAFELY, we will update and extend our results regularly.

Non-Steroidal Anti-Inflammatory Drugs in the Elderly. Agreement With Safe Prescription Recommendations According to Cardiovascular and Gastrointestinal Risks

INTRODUCTION/OBJECTIVE

Non-Steroidal Anti-Inflammatory Drugs are the cornerstone in the treatment of acute and chronic pain due to inflammation in musculoskeletal conditions. Even though adverse side-effects are associated, their use is common in the elderly patients. Our aim is to determine the prescription trend of NSAIDs, the evaluation for gastrointestinal (GI) and cardiovascular (CV) risks, and the level of agreement with prescription guidelines.

METHODS

We conducted an observation and descriptive study in a general hospital geriatrics consultation.

RESULTS

From the 231 patients only 59 patients had a NSAIDs prescription. The most frequently prescribed was Acetaminophen, in 29(49.1%) patients, Celecoxib was prescribed in 11(18.6%) patients, Piroxicam in 5(8.4%) patients, Acetaminophen plus Celecoxib plus Omeprazole in 4 (6.7%), Acetaminophen plus Piroxicam in 2 (0.3%) patients, and Acetaminophen plus Diclofenac plus Celecoxib in 1 patient (1.6%). In the Framingham risk classification there were 160/231 (69.3%) patients in Very High Risk and 71/231 (30.7%) patients in High Risk. There were no patients in Low Risk. GI Risk: 79 patients (34.1%) had a peptic ulcer disease history. There were 55/231 (23.8%) in the High GI Risk classification, 102/231 (44.1%) in Intermediate GI Risk and 74/231 (32%) in the Low Risk. The level of agreement between the prescribed versus recommended NSAIDs according the CV and GI risks was measured with a contingence table and the kappa statistic of 0.37 p=0.001.

CONCLUSION

There is a low level of agreement between prescribed and recommended NSAID in elderly population.