Electronic Health Records

Background: Evidence supporting the use of statins for primary prevention of cardiovascular disease (CVD) in individuals aged ≥ 80 years remains limited. This study aimed to evaluate the long-term clinical benefits and safety of statins for primary prevention in patients aged 80 years and older.

Methods: We conducted a population-based retrospective cohort study using electronic medical records and pharmacy dispensing data from Clalit Health Services in Israel, covering the period from January 2015 to December 2020. Patients aged ≥ 80 years without prior CVD who were persistent statin users were compared with similar patients not receiving statins. Exclusions included prior CVD, dialysis, or death within 1 year of follow-up. Outcomes included all-cause mortality, new coronary events, myopathy, dementia, and diabetes mellitus. Cox proportional hazards models, adjusted for potential confounders, were used to assess the association between statin use and clinical outcomes.

Results: Among 15,745 patients (mean age 84.5 years; 66% female), 8413 were statin users. Over a 4-year mean follow-up, statin use was associated with a 31% reduction in mortality (HR 0.69; 95% CI: 0.34-0.74; p < 0.001) and a 20% reduction in new coronary events (HR 0.80; 95% CI: 0.68-0.94; p = 0.008). No significant differences were observed in the incidence of myopathy, diabetes, or dementia. Benefits were not observed in patients who discontinued statins before age 80.

Conclusions: In patients aged ≥ 80 years, statin therapy for primary prevention was associated with reduced all-cause mortality and coronary morbidity, without increased risk of adverse events. Early discontinuation diminished these benefits.

Author/s:

Ophir Lavon, Wafaa Hamodi, Sameer Kassem

Incidence, co-occurrence, and evolution of long-COVID features: A 6-month retrospective cohort study of 273,618 survivors of COVID-19

Bethie Seay — Tue, 05 Oct 2021 05:00:00 +0000

Date Added:

October 5, 2021

Journal/Publication:

PLOS Medicine

Publication Date:

September 28, 2021

Issue:

Volume:

Type:

Clinical Research Results

DOI (1):

10.1371/journal.pmed.1003773

An assessment of the epidemiology and characteristics of long COVID syndrome from nearly 275,000 linked electronic records.

View

Background
Long-COVID refers to a variety of symptoms affecting different organs reported by people following Coronavirus Disease 2019 (COVID-19) infection. To date, there have been no robust estimates of the incidence and co-occurrence of long-COVID features, their relationship to age, sex, or severity of infection, and the extent to which they are specific to COVID-19. The aim of this study is to address these issues.

Methods and findings
We conducted a retrospective cohort study based on linked electronic health records (EHRs) data from 81 million patients including 273,618 COVID-19 survivors. The incidence and co-occurrence within 6 months and in the 3 to 6 months after COVID-19 diagnosis were calculated for 9 core features of long-COVID (breathing difficulties/breathlessness, fatigue/malaise, chest/throat pain, headache, abdominal symptoms, myalgia, other pain, cognitive symptoms, and anxiety/depression). Their co-occurrence network was also analyzed. Comparison with a propensity score–matched cohort of patients diagnosed with influenza during the same time period was achieved using Kaplan–Meier analysis and the Cox proportional hazard model. The incidence of atopic dermatitis was used as a negative control.

Among COVID-19 survivors (mean [SD] age: 46.3 [19.8], 55.6% female), 57.00% had one or more long-COVID feature recorded during the whole 6-month period (i.e., including the acute phase), and 36.55% between 3 and 6 months. The incidence of each feature was: abnormal breathing (18.71% in the 1- to 180-day period; 7.94% in the 90- to180-day period), fatigue/malaise (12.82%; 5.87%), chest/throat pain (12.60%; 5.71%), headache (8.67%; 4.63%), other pain (11.60%; 7.19%), abdominal symptoms (15.58%; 8.29%), myalgia (3.24%; 1.54%), cognitive symptoms (7.88%; 3.95%), and anxiety/depression (22.82%; 15.49%). All 9 features were more frequently reported after COVID-19 than after influenza (with an overall excess incidence of 16.60% and hazard ratios between 1.44 and 2.04, all p < 0.001), co-occurred more commonly, and formed a more interconnected network. Significant differences in incidence and co-occurrence were associated with sex, age, and illness severity. Besides the limitations inherent to EHR data, limitations of this study include that (i) the findings do not generalize to patients who have had COVID-19 but were not diagnosed, nor to patients who do not seek or receive medical attention when experiencing symptoms of long-COVID; (ii) the findings say nothing about the persistence of the clinical features; and (iii) the difference between cohorts might be affected by one cohort seeking or receiving more medical attention for their symptoms.

Conclusions
Long-COVID clinical features occurred and co-occurred frequently and showed some specificity to COVID-19, though they were also observed after influenza. Different long-COVID clinical profiles were observed based on demographics and illness severity.

Author summary
Why was this study done?
Long-COVID has been described in recent studies. But we do not know the risk of developing features of this condition and how it is affected by factors such as age, sex, or severity of infection.
We do not know if the risk of having features of long-COVID is more likely after Coronavirus Disease 2019 (COVID-19) than after influenza.
We do not know about the extent to which different features of long-COVID co-occur.
What did the researchers do and find?
This research used data from electronic health records of 273,618 patients diagnosed with COVID-19 and estimated the risk of having long-COVID features in the 6 months after a diagnosis of COVID-19. It compared the risk of long-COVID features in different groups within the population and also compared the risk to that after influenza.
The research found that over 1 in 3 patients had one or more features of long-COVID recorded between 3 and 6 months after a diagnosis of COVID-19. This was significantly higher than after influenza.
For 2 in 5 of the patients who had long-COVID features in the 3- to 6-month period, they had no record of any such feature in the previous 3 months.
The risk of long-COVID features was higher in patients who had more severe COVID-19 illness, and slightly higher among females and young adults. White and non-white patients were equally affected.
What do these findings mean?
Knowing the risk of long-COVID features helps in planning the relevant healthcare service provision.
The fact that the risk is higher after COVID-19 than after influenza suggests that their origin might, in part, directly involve infection with SARS-CoV-2 and is not just a general consequence of viral infection. This might help in developing effective treatments against long-COVID.
The findings in the subgroups, and the fact that the majority of patients who have features of long-COVID in the 3- to 6-month period already had symptoms in the first 3 months, may help in identifying those at greatest risk.

Author/s:

Taquet, M., Dercon, Q., Luciano, S., Geddes, J. R., Husain, M., Harrison, P. J.

Evaluation of a Chronic Pain Screening Program Implemented in Primary Care

Saige Blanchard — Fri, 06 Aug 2021 05:00:00 +0000

Date Added:

August 6, 2021

Journal/Publication:

Journal of the American Medical Association

Publisher:

JAMA

Publication Date:

July 1, 2021

Issue:

Volume:

URL:

Evaluation of a Chronic Pain Screening Program Implemented in Primary Care

Type:

Clinical Research Results

Format:

Article

DOI (1):

https://doi.org/10.1001/jamanetworkopen.2021.18495

Keywords

PMID (1):

34313738

MeSH

Cross-Sectional Studies

Activities of Daily Living

chronic pain

Pleasure

Pain Measurement

Electronic Health Records

It is possible to screen for chronic pain using two questions. One-third of patients being seen in community health centers have chronic pain. In 40% of them the problem had not been previously identified. James W. Mold, MD, MPH

Free full text

View

Importance: Although pain is among the most common symptoms reported by patients, primary care practitioners (PCPs) face substantial challenges identifying and assessing pain.

Objective: To evaluate a 2-step process for chronic pain screening and follow-up in primary care.

Design, setting, and participants: A cross-sectional study of patients with a primary care visit between July 2, 2018, and June 1, 2019, was conducted at a statewide, multisite federally qualified health center. Participants included 68 PCPs and 58 medical assistants from 13 sites who implemented the screening process in primary care, and 38 866 patients aged 18 years or older with a primary care visit during that time.

Exposures: Single-question assessment of pain frequency, followed by a 3-question PEG (pain, enjoyment of life, general activity) functional assessment for patients with chronic pain.

Main outcomes and measures: Adherence to a 2-step chronic pain screening and PEG process, proportion of patients with positive screening results, mean PEG pain severity greater than or equal to 7, and documented chronic painful condition diagnosis in patient's electronic health record between 1 year before and 90 days after screening.

Results: Of 38 866 patients with a primary care visit, 31 600 patients (81.3%) underwent screening. Mean (SD) age was 46.2 (15.4) years, and most were aged 35 to 54 years (12 987 [41.1%]), female (18 436 [58.3%]), Hispanic (14 809 [46.9%]), and English-speaking (22 519 [71.3%]), and had Medicaid insurance (18 442 [58.4%]). A total of 10 262 participants (32.5%) screened positive and, of these, 9701 (94.5%) completed the PEG questionnaire. PEG responses indicated severe pain interference with activities of daily living (PEG ≥7) in 5735 (59.1%) participants. A chronic painful condition had not been diagnosed in 4257 (43.9%) patients in the year before screening. A new chronic painful condition was diagnosed at screening or within 90 days in 2250 (52.9%) patients. Care teams found the workflow acceptable, but cited lengthy administration time, challenges with comprehension of the PEG questions, and limited comprehensiveness as implementation barriers.

Conclusions and relevance: A systematic, 2-step process for chronic pain screening and functional assessment in primary care appeared to identify patients with previously undocumented chronic pain and was feasible to implement. Patient-provided information on the frequency of pain, pain level, and pain interference can help improve the assessment and monitoring of pain in primary care.

Author/s:

Bifulco, L., Anderson, D. R., Blankson, M. L, Channamsetty, V., Blaz, J. W., Nguyen-Louie, T., Scholle, S. H.