There's a nice international representation! The top ten countries in the audience for the Geriatric Medicine Journal Club blog are as follows:
According to Tweetreach, this week's #GeriMedJC activity made 15,643 impressions.
Sunday, 31 August 2014
@GeriMedJC still growing!
The moderator account for the Geriatric Medicine Journal Club (#GeriMedJC) is up to 90 followers after launching a month ago.
There's a nice international representation! The top ten countries in the audience for the Geriatric Medicine Journal Club blog are as follows:
According to Tweetreach, this week's #GeriMedJC activity made 15,643 impressions.
There's a nice international representation! The top ten countries in the audience for the Geriatric Medicine Journal Club blog are as follows:
According to Tweetreach, this week's #GeriMedJC activity made 15,643 impressions.
Saturday, 30 August 2014
First #GeriMedJC
Two articles were discussed for the first #GeriMedJC:
Long article (45 minutes is dedicated to discussion in the live version of the journal club):
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
Short article (15 minutes is dedicated to discussion in the live version of the journal club):
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
This is what Symplur analytics had to say about the discussion:
Long article (45 minutes is dedicated to discussion in the live version of the journal club):
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
Short article (15 minutes is dedicated to discussion in the live version of the journal club):
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
This is what Symplur analytics had to say about the discussion:
Missed the discussion? You can get the transcript of the #GeriMedJC tweet chat here.
Follow @GeriMedJC on Twitter for the announcement on the next #GeriMedJC!
Monday, 25 August 2014
@GeriMedJC is gaining followers all over the world!
This has been an exciting week for #GeriMedJC. The moderator account,@GeriMedJC, now has 78 followers including physicians, other allied health care workers, and organizations from all over the world. This should make for a very lively discussion for the first tweet chat Geriatric Medicine Journal Club on August 29, 2014 at 08:00 EDT / noon GMT.
According to Tweetreach, a number of impressions have also been made:
This blog is also getting a few views from around the world, including Zambia. Welcome! Hearing what geriatric medicine is like internationally would be of great interest!
Don't forget to read the two articles in advance of the first #GeriMedJC tweet chat on August 29, 2014 at 08:00 EDT / noon GMT:
Long article (45 minutes is dedicated to discussion in the live version of the journal club):
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
Access the article here.
Short article (15 minutes is dedicated to discussion in the live version of the journal club):
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
Access the article here.
According to Tweetreach, a number of impressions have also been made:
This blog is also getting a few views from around the world, including Zambia. Welcome! Hearing what geriatric medicine is like internationally would be of great interest!
Don't forget to read the two articles in advance of the first #GeriMedJC tweet chat on August 29, 2014 at 08:00 EDT / noon GMT:
Long article (45 minutes is dedicated to discussion in the live version of the journal club):
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
Access the article here.
Short article (15 minutes is dedicated to discussion in the live version of the journal club):
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
Access the article here.
Sunday, 24 August 2014
Any easy way to stream the tweet chat for the first #GeriMedJC
Gearing up for the first Geriatric Medicine Journal Club tweet chat, #GeriMedJC, and need any easy way to follow and engage in the conversation?
Try TChat.io and log in using your Twitter account.
Enter the hashtag #GeriMedJC a few minutes before the chat. This program filters out all other tweets so you can focus on discussing this one topic.
Every tweet anyone publishes with the hashtag #GeriMedJC, will show-up in the stream. Any tweet you type in the box will have #GeriMedJC added to the back of it, so other people using this (or similar programs) will be able to see your tweet even though they may not follow you.
Make sure you read the two chosen articles ahead of time:
Long article (45 minutes is dedicated to discussion in the live version of the journal club):
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
Access the article here.
Short article (15 minutes is dedicated to discussion in the live version of the journal club):
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
Access the article here.
Try TChat.io and log in using your Twitter account.
Enter the hashtag #GeriMedJC a few minutes before the chat. This program filters out all other tweets so you can focus on discussing this one topic.
Every tweet anyone publishes with the hashtag #GeriMedJC, will show-up in the stream. Any tweet you type in the box will have #GeriMedJC added to the back of it, so other people using this (or similar programs) will be able to see your tweet even though they may not follow you.
Make sure you read the two chosen articles ahead of time:
Long article (45 minutes is dedicated to discussion in the live version of the journal club):
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
Access the article here.
Short article (15 minutes is dedicated to discussion in the live version of the journal club):
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
Access the article here.
Friday, 22 August 2014
Long article chosen for the first #GeriMedJC.
What does a long article mean? In the live version of the Geriatric Medicine Journal Club, 45 minutes is devoted to the presentation and discussion of the article. Do you use the Confusion Assessment Method (CAM) to help detect delirium? How about the CAM-S for measuring severity? The chosen long article will be of great interest:
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
The article can be found on Annals of Internal Medicine here and abstract is posted below. Engage in the discussion August 29, 2014 at 08:00 EDT / noon GMT and don't forget to use the hashtag #GeriMedJC. We would especially love to hear the perspective from the across the pond where the the 4AT is being promoted through organizations such as the Scottish Delirium Association.
BACKGROUND: Quantifying the severity of delirium is essential to advancing clinical care by improved understanding of delirium effect, prognosis, pathophysiology, and response to treatment.
OBJECTIVE: To develop and validate a new delirium severity measure (CAM-S) based on the Confusion Assessment Method.
DESIGN: Validation analysis in 2 independent cohorts.
SETTING: Three academic medical centers.
PATIENTS: The first cohort included 300 patients aged 70 years or older scheduled for major surgery. The second included 919 medical patients aged 70 years or older.
MEASUREMENTS: A 4-item short form and a 10-item long form were developed. Association of the maximum CAM-S score during hospitalization with hospital and posthospital outcomes related to delirium was evaluated.
RESULTS: Representative results included adjusted mean length of stay, which increased across levels of short-form severity from 6.5 days (95% CI, 6.2 to 6.9 days) to 12.7 days (CI, 11.2 to 14.3 days) (P for trend < 0.001) and across levels of long-form severity from 5.6 days (CI, 5.1 to 6.1 days) to 11.9 days (CI, 10.8 to 12.9 days) (P for trend < 0.001). Representative results for the composite outcome of adjusted relative risk of death or nursing home residence at 90 days increased progressively across levels of short-form severity from 1.0 (referent) to 2.5 (CI, 1.9 to 3.3) (P for trend < 0.001) and across levels of long-form severity from 1.0 (referent) to 2.5 (CI, 1.6 to 3.7) (P for trend < 0.001).
LIMITATION: Data on clinical outcomes were measured in an older data set limited to patients aged 70 years or older.
CONCLUSION: The CAM-S provides a new delirium severity measure with strong psychometric properties and strong associations with important clinical outcomes.
The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med. 2014 Apr 15;160(8):526-33.
BACKGROUND: Quantifying the severity of delirium is essential to advancing clinical care by improved understanding of delirium effect, prognosis, pathophysiology, and response to treatment.
OBJECTIVE: To develop and validate a new delirium severity measure (CAM-S) based on the Confusion Assessment Method.
DESIGN: Validation analysis in 2 independent cohorts.
SETTING: Three academic medical centers.
PATIENTS: The first cohort included 300 patients aged 70 years or older scheduled for major surgery. The second included 919 medical patients aged 70 years or older.
MEASUREMENTS: A 4-item short form and a 10-item long form were developed. Association of the maximum CAM-S score during hospitalization with hospital and posthospital outcomes related to delirium was evaluated.
RESULTS: Representative results included adjusted mean length of stay, which increased across levels of short-form severity from 6.5 days (95% CI, 6.2 to 6.9 days) to 12.7 days (CI, 11.2 to 14.3 days) (P for trend < 0.001) and across levels of long-form severity from 5.6 days (CI, 5.1 to 6.1 days) to 11.9 days (CI, 10.8 to 12.9 days) (P for trend < 0.001). Representative results for the composite outcome of adjusted relative risk of death or nursing home residence at 90 days increased progressively across levels of short-form severity from 1.0 (referent) to 2.5 (CI, 1.9 to 3.3) (P for trend < 0.001) and across levels of long-form severity from 1.0 (referent) to 2.5 (CI, 1.6 to 3.7) (P for trend < 0.001).
LIMITATION: Data on clinical outcomes were measured in an older data set limited to patients aged 70 years or older.
CONCLUSION: The CAM-S provides a new delirium severity measure with strong psychometric properties and strong associations with important clinical outcomes.
Short article chosen for the first #GeriMedJC.
What does a short article mean? In the live version of the Geriatric Medicine Journal Club, 15 minutes is devoted to the presentation and discussion of the article. Frailty is very hot these days and the surgeons are onto the concept. The chosen short article is timely:
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
The article can be found on JAMA Surgery here and abstract is posted below. Join the discussion August 29, 2014 at 08:00 EDT / noon GMT and don't forget to use the hashtag #GeriMedJC.
Importance The number of geriatric patients who undergo surgery has been increasing, but there are insufficient tools to predict postoperative outcomes in the elderly.
Objective To design a predictive model for adverse outcomes in older surgical patients.
Design, Setting, and Participants From October 19, 2011, to July 31, 2012, a single tertiary care center enrolled 275 consecutive elderly patients (aged ≥65 years) undergoing intermediate-risk or high-risk elective operations in the Department of Surgery.
Main Outcomes and Measures The primary outcome was the 1-year all-cause mortality rate. The secondary outcomes were postoperative complications (eg, pneumonia, urinary tract infection, delirium, acute pulmonary thromboembolism, and unplanned intensive care unit admission), length of hospital stay, and discharge to nursing facility.
Results Twenty-five patients (9.1%) died during the follow-up period (median [interquartile range], 13.3 [11.5-16.1] months), including 4 in-hospital deaths after surgery. Twenty-nine patients (10.5%) experienced at least 1 complication after surgery and 24 (8.7%) were discharged to nursing facilities. Malignant disease and low serum albumin levels were more common in the patients who died. Among the geriatric assessment domains, Charlson Comorbidity Index, dependence in activities of daily living, dependence in instrumental activities of daily living, dementia, risk of delirium, short midarm circumference, and malnutrition were associated with increased mortality rates. A multidimensional frailty score model composed of the above items predicted all-cause mortality rates more accurately than the American Society of Anesthesiologists classification (area under the receiver operating characteristic curve, 0.821 vs 0.647; P = .01). The sensitivity and specificity for predicting all-cause mortality rates were 84.0% and 69.2%, respectively, according to the model’s cutoff point (>5 vs ≤5). High-risk patients (multidimensional frailty score >5) showed increased postoperative mortality risk (hazard ratio, 9.01; 95% CI, 2.15-37.78; P = .003) and longer hospital stays after surgery (median [interquartile range], 9 [5-15] vs 6 [3-9] days; P < .001).
Conclusions and Relevance The multidimensional frailty score based on comprehensive geriatric assessment is more useful than conventional methods for predicting outcomes in geriatric patients undergoing surgery.
Multidimensional Frailty Score for the Prediction of Postoperative Mortality Risk. JAMA Surg. 2014;149(7):633-640.
The article can be found on JAMA Surgery here and abstract is posted below. Join the discussion August 29, 2014 at 08:00 EDT / noon GMT and don't forget to use the hashtag #GeriMedJC.
Importance The number of geriatric patients who undergo surgery has been increasing, but there are insufficient tools to predict postoperative outcomes in the elderly.
Objective To design a predictive model for adverse outcomes in older surgical patients.
Design, Setting, and Participants From October 19, 2011, to July 31, 2012, a single tertiary care center enrolled 275 consecutive elderly patients (aged ≥65 years) undergoing intermediate-risk or high-risk elective operations in the Department of Surgery.
Main Outcomes and Measures The primary outcome was the 1-year all-cause mortality rate. The secondary outcomes were postoperative complications (eg, pneumonia, urinary tract infection, delirium, acute pulmonary thromboembolism, and unplanned intensive care unit admission), length of hospital stay, and discharge to nursing facility.
Results Twenty-five patients (9.1%) died during the follow-up period (median [interquartile range], 13.3 [11.5-16.1] months), including 4 in-hospital deaths after surgery. Twenty-nine patients (10.5%) experienced at least 1 complication after surgery and 24 (8.7%) were discharged to nursing facilities. Malignant disease and low serum albumin levels were more common in the patients who died. Among the geriatric assessment domains, Charlson Comorbidity Index, dependence in activities of daily living, dependence in instrumental activities of daily living, dementia, risk of delirium, short midarm circumference, and malnutrition were associated with increased mortality rates. A multidimensional frailty score model composed of the above items predicted all-cause mortality rates more accurately than the American Society of Anesthesiologists classification (area under the receiver operating characteristic curve, 0.821 vs 0.647; P = .01). The sensitivity and specificity for predicting all-cause mortality rates were 84.0% and 69.2%, respectively, according to the model’s cutoff point (>5 vs ≤5). High-risk patients (multidimensional frailty score >5) showed increased postoperative mortality risk (hazard ratio, 9.01; 95% CI, 2.15-37.78; P = .003) and longer hospital stays after surgery (median [interquartile range], 9 [5-15] vs 6 [3-9] days; P < .001).
Conclusions and Relevance The multidimensional frailty score based on comprehensive geriatric assessment is more useful than conventional methods for predicting outcomes in geriatric patients undergoing surgery.
Sunday, 17 August 2014
The second week for #GeriMedJC on Twitter.
This is what Symplur analytics had to say about the hashtag's second week.
It's not surprising that activity is a bit quiet as the hashtag is a timed, monthly tweet chat. We anticipate that when the journal club is happening (first one slated for August 29, 2014 at 8:00 EDT / noon GMT), that'll be when the bulk of Twitter activity will take place.
In the meantime, there has been some exciting stuff happening from the new followers front for the moderator's account, @GeriMedJC. There are have been several new followers including representation from other Canadian provinces (@JennyBasran) as well as medical schools across the pond (@MMGgeris).
It's not surprising that activity is a bit quiet as the hashtag is a timed, monthly tweet chat. We anticipate that when the journal club is happening (first one slated for August 29, 2014 at 8:00 EDT / noon GMT), that'll be when the bulk of Twitter activity will take place.
In the meantime, there has been some exciting stuff happening from the new followers front for the moderator's account, @GeriMedJC. There are have been several new followers including representation from other Canadian provinces (@JennyBasran) as well as medical schools across the pond (@MMGgeris).
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