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Perioperative use of
beta-blockers engendered lots of controversy for several years. In our May 2013
Whats New in the Patient Safety World column Beta Blocker Debate Just
Wont Go Away we joked that
one pro-beta-blocker article always engenders another anti-beta-blocker article
and vice versa!
Most of you recall
the history of the debate. After several years in which we pushed for almost
universal use of beta-blockers perioperatively, publication of the POISE trial
(Devereaux 2008) significantly changed things. The POISE
trial showed that, though preoperative beta-blockers prevented 15 MIs for
every 1000 patients treated, there was an increased risk of stroke and an
excess of 8 deaths per 1000 patients treated. Largely since that time
recommendations have been to continue beta-blockers in the perioperative period
in patients previously taking them but most no longer begin them
perioperatively in patients not previously taking them.
Reserachers in 2020 reported on a cohort study that used
data from the prospectively collected Swedish National Quality Registry for hip
fractures to identify all patients over 40 years of age subjected to surgery
for hip fractures between 2013 and 2017 in one Swedish county (Mohammad Ismail 2020). The
found that beta-blocker therapy was associated with a significant reduction in
90-day postoperative mortality after hip fracture surgery.
The researchers expanded on this work with a restrospective
cohort study of over 130,000 Swedish patients who underwent hip fracture
surgery from 2008 to 2017 (Mohammad
Ismail 2021). Patients who filled a prescription within the year before and
after surgery were defined as having ongoing beta-blocker therapy. Because this
was not a randomized trial, the researchers adjusted the data using the inverse
probability of treatment weighting (IPTW). Beta-blocker therapy was associated with
a 42% reduction the risk of mortality within the first postoperative year.after
adjusting for age, sex, comorbidities, ASA physical status, fracture, and
surgery type.
A previous report on that population by these authors (Ahl 2021)
showed that beta-blocker therapy resulted in a 72% relative risk reduction in
30-day all-cause mortality and was independently associated with a reduction in
deaths of cardiovascular, respiratory, and cerebrovascular origin and deaths
due to sepsis or multiorgan failure. The current report (Mohammad
Ismail 2021) showed that, after excluding patients who died within the
first 30 days postoperatively, beta-blocker therapy was associated with a 27%
reduction in the risk of mortality.
The authors conclude that the evidence presented emphasizes
the importance of maintaining beta-blocker therapy in hip fracture patients but
that beta-blocker therapy remains significantly underused for a large proportion
of surgical patients. However, they are quick to point out that, with the
evidence currently available, it is not possible to recommend initiating beta-blocker
therapy in beta-blocker naive patients. They strongly recommend investigating this
possibility using an interventional study design.
We, of course, agree that the results of this sort of
retrospective observational study should simply be considered as
hypothesis-generating. But the results are suggestive enough that it would seem
a randomized controlled trial in this population would be worthwhile. Seems the
perioperative beta-blocker debate is never-ending!
Our prior columns on
perioperative use of beta blockers:
November 20, 2007 New
Evidence Questions Perioperative Beta Blocker Use
November 4, 2008 Beta
Blockers Take More Hits
December 2009 Updated
Perioperative Beta Blocker Guidelines
November 2010 More Perioperative Beta Blocker Controversy
November 2012 Beta Blockers Losing Their Luster?
May 2013 Beta Blocker Debate Just Wont Go Away
September 2013 More Perioperative Beta-Blocker Controversy
November 2013 Another Assault on Perioperative
Beta-Blockers
References:
Devereaux PJ, Yang H, Yusuf S, et al for the POISE Study
Group. Effects of extended-release metoprolol succinate in patients undergoing
non-cardiac surgery (POISE trial): a randomised controlled trial. Lancet 2008;
371(9627): 1839-1847
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2808%2960601-7/fulltext
Mohammad Ismail A, Borg T, Sjolin G, et al.
β-adrenergic blockade is associated with a reduced risk of 90-day mortality
after surgery for hip fractures. Trauma Surg Acute Care Open 2020; 5: e000533.
https://tsaco.bmj.com/content/5/1/e000533
Mohammad Ismail A, Ahl R, Forssten MP, et al. Beta-Blocker
Therapy Is Associated With Increased 1-Year Survival After Hip Fracture
Surgery: A Retrospective Cohort Study. Anesthesia & Analgesia 2021; 133(5):
1225-1234
Ahl R, Mohammad Ismail A, Borg T, et al. A nationwide observational
cohort study of the relationship between beta-blockade and survival after hip
fracture surgery. Eur J Trauma Emerg Surg 2021; Published online January 28,
2021. doi:10.1007/s00068-020-01588-7
https://link.springer.com/article/10.1007/s00068-020-01588-7
Print December 2021 Beta-Blockers Making a
Comeback?
We often give talks on what is wrong with the US healthcare
system and highlight areas in which our healthcare system has outcomes that are
far worse than those in other OECD countries. One such area is maternal
mortality and morbidity. In fact, the US
maternal mortality ratio of 20 maternal deaths per 100,000 live births is worst
among developed countries (Hoyert 2020). We
discussed this in detail in our Patient Safety Tips of the Week for January 8, 2019 Maternal
Mortality in the Spotlight and December
8, 2020 Maternal
Mortality: Looking in All the Wrong Places?. The latter column focused not only on maternal mortality but
also discussed many maternal morbidities.
A new study from the
Commonweatlh Fund notes that maternal morbidity is not just of concern from a
human standpoint, but also has significant fiscal implications (ONeil 2021).
The Commonwealth
study analyzed nine maternal morbidities (amniotic fluid embolism, cardiac
arrest, gestational diabetes mellitus, hemorrhage, hypertensive disorders,
maternal mental health conditions, renal disease, sepsis, venous thromboembolism)
and considered not only direct medical costs but also societal costs (eg. loss
of productivity, use of social services, etc.).
The estimated total
costs of these nine maternal morbidity conditions for all US births in 2019
reached $32.3 billion from conception through the childs fifth birthday. This
amounts to roughly $8,624 in additional costs to society for each
maternalchild pair associated with 6.3 million pregnancies and 3.7 million
births in the U.S. annually. Two-thirds of these costs occurred within the
first year postpartum.
The largest costs
included maternal mental health conditions ($18.1 billion), hypertensive
disorders ($7.5 billion), gestational diabetes ($4.8 billion), and postpartum
hemorrhage ($1.8 billion).
The health care
system bore more than half these costs (58%), with the rest shouldered by employers,
public social services programs, and other nonmedical sectors. These nonmedical
costs included losses in productivity ($6.6 billion), costs associated with behavioral
and developmental disorders in children ($6.5 billion), and increased use of social
programs like SNAP, WIC, Medicaid, and TANF ($239 million).
The authors note
these data likely underestimate the true societal costs of maternal morbidity,
because data on the many nonmedical costs associated with the nine conditions
is lacking in the research literature.
A word of caution is
necessary when we discuss either the US infant mortality and maternal
mortality/morbidity standing. Social issues, socioeconomic issues, access to
healthcare insurance, access to healthcare provision, and societal disparities
clearly impact those outcomes. The US spends proportionately far less on social
programs than many of the OECD countries.
But the Commonwealth
study makes it clear that greater focus on maternal morbidities may well result
in savings to US society.
Our December 8, 2020
Patient Safety Tip of the Week Maternal
Mortality: Looking in All the Wrong Places? and several of the other columns listed below describe maternal safety
bundles and other interventions that we, on the healthcare side of the
equation, can focus on addressing the problem of maternal morbidity and
mortality.
Some of our previous
columns on maternal and ob/gyn issues:
February 5, 2008 Reducing
Errors in Obstetrical Care
February 2010 Joint
Commission Sentinel Event Alert on Maternal Deaths
April 2010 RCA:
Epidural Solution Infused Intravenously
July 20, 2010 More
on the Weekend Effect/After-Hours Effect
August 2010 Surgical Case Listing Accuracy
September 7, 2010 Patient Safety in Ob/Gyn Settings
January 2011 Surgical Fires Not Just in High Risk Cases
February 8, 2011 Inducing Too Early
April 2011 Ob/Gyn Patient Safety Programs
April 24, 2012 Fire Hazard of Skin Preps Oxygen
July 2012 WHO
Safe Childbirth Checklist
December 4, 2012 Unintentional Perioperative Hypothermia: A
New Twist
September 2013 Full-Time Laborists Reduce C-Section Rates
October 2013 Challenging the 39-Week Campaign
November 2013 The Weekend Effect: Not One Simple Answer
January 2014 It
MEOWS But Doesnt Purr
May 13, 2014 Perioperative
Sleep Apnea: Human and Financial Impact
August 19, 2014 Some
More Lessons Learned on Retained Surgical Items
November 3, 2015 Medication
Errors in the OR - Part 2
February 7, 2017 Maternal
Safety Bundles
January 23, 2018 Unintentional
Hypothermia Back in Focus
January 8, 2019 Maternal
Mortality in the Spotlight
December 8, 2020 Maternal
Mortality: Looking in All the Wrong Places?
August 3, 2021 Obstetric Patients More
At-Risk for Wrong Patient Orders
November 16, 2021 Cognitive Biases and
Heuristics in the Delivery Room
References:
Hoyert DL. Maternal
Mortality Rates in the United States, 2019. Centers for Disease Control and
Prevention 2020; Apr. 1, 2020
https://stacks.cdc.gov/view/cdc/103855
ONeil
S, Platt I, Vohra D, et al. The
High Costs of Maternal Morbidity Show Why We Need Greater Investment in
Maternal Health. The Commonwealth Fund 2021;
Print December 2021 Maternal Morbidity Costly in
Human and Fiscal Terms
Weve written many columns on postoperative complications
and attempts to identify clinical deterioration early enough for clinical
intervention to make a difference in patient outcomes. Various early warning
systems (EWSs) have been devised, using both clinical and physiological data
and data residing in the electronic medical record. Those EWSs are designed to
identify patients who need to be moved to a higher level of care. But how about
a system that more appropriately triages postop patients to that higher level
of care?
Loftus
et al. (Loftus
2021) have developed a developed a real-time machine-learning model to
identify undertriage to hospital wards among patients after surgical procedures.
Their
machine-learning algorithms analyze preoperative and intraoperative data and estimate
patients risk of postoperative complications. Data found to be important for
these algorithms included primary procedure, scheduled postoperative location, intraoperative
minimum alveolar anesthetic concentration measurements, and duration of
inhalation anesthetic. These were the best predictors of mortality and prolonged
ICU stay.
Patients
identified by these algorithms as being at increased risk for postoperative complications
who were undertriaged to hospital wards had increased mortality and morbidity
compared with a risk-matched control group of admissions to ICUs.
The
authors conclude that real-time machine-learning models are valuable in
identifying postoperative undertriage.
In an accompanying commentary, Ko and Wren (Ko
2021) note that some early warning systems, like MEWS, when used for postoperative
triage have been associated with a significantly decreased rate of ICU admissions
without a difference in mortality rate, suggesting the tools utility in
preventing overtriage to the ICU. They suggest that, with more sophisticated machine-learning
models like thaat developed by Loftus and associates, one could anticipate not
only avoiding undertriage to wards, which may be wrought with increased
mortality and morbidity, but also preventing overtriage to the ICU in the
setting of increased health care costs and overuse of resources. They do go
on, however, to discuss the continued importance of clinical judgement, and
conclude that data-driven, patient-level risk assessment models seem promising,
not in substitution for clinical judgment, but in supplementation of it.
Some of our other
columns on MEWS or recognition of clinical deterioration:
Our other columns on
rapid response teams:
References:
Loftus TJ, Ruppert MM, Ozrazgat-Baslanti T, et al.
Association of Postoperative Undertriage to Hospital Wards With Mortality and
Morbidity. JAMA Netw Open 2021; 4(11): e2131669
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2785924
Ko A, Wren SM. Advances in Appropriate Postoperative Triage
and the Role of Real-time Machine-Learning Models: The Goldilocks Dilemma. JAMA
Netw Open 2021; 4(11): e2133843
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2785926
Print December 2021 Can AI Triage Postoperative
Patients More Appropriately?
PICCs (peripherally inserted central catheters) have an
important place in our ability to deliver necessary treatments to patients. But
they also have some downsides that weve highlighted in our multiple prior
columns listed below.
A new study looked at the comparative safety of PICCs vs.
midline catheters in patients who had a PICC vs midline catheter placed for the
indication of difficult vascular access or antibiotic therapy for 30 or fewer
days (Swaminathan
2021). Perhaps somewhat surprisingly, PICCs were associated with almost
twice the risk of major complication compared to midline catheters (odds ratio,
1.99). The reduction in complications was primarily due to lower rates of
occlusion (2.1% vs 7.0%; P < .001) and bloodstream infection
(0.4% vs 1.6%; P < .001) in midlines vs PICCs.
The results regarding DVT, however, were less clear. After
adjusting for patient, device, and hospital characteristics, there was no
statistically significant difference between the overall risk of DVT or PE. However,
when examining time-to-event models, midline catheters appeared to be
associated with greater daily hazard of DVT, potentially owing to a similar number
of events occurring within a shorter catheter dwell time associated with these
devices. The authors caution that this finding serves as a reminder to not
dismiss the risk of thrombosis associated with midlines, especially in patients
with hypercoagulability or preexisting risk factors for DVT, such as cancer.
The authors note that MAGIC (the Michigan Appropriateness
Guide for Intravenous Catheters) (Chopra 2015) recommends
midlines as the preferred vascular access in patients with difficult vascular
access, for treatment thatwill likely exceed 6 days, and for patients requiring
infusions including antibiotics for up to 14 days and that the results of their
study support the MAGIC guideiines.
Some of our other
columns on IV access, central venous catheters and PICC lines:
January 21, 2014 The PICC Myth
December 2014 Surprise Central Lines
July 2015 Reducing Central Venous Catheter Use
October 2015 Michigan Appropriateness Guide for
Intravenous Catheters
March 27, 2018 PICC
Use Persists
February 26, 2019 Vascular
Access Device Dislodgements
July 16, 2019 Avoiding PICCs in CKD
March 2, 2021 Barriers to Timely Catheter
Removal
References:
Swaminathan L, Flanders S, Horowitz J, Zhang Q, OMalley M,
Chopra V. Safety and Outcomes of Midline Catheters vs Peripherally Inserted
Central Catheters for Patients With Short-term Indications: A Multicenter
Study. JAMA Intern Med 2021; Published online November 29, 2021
https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2786212
Chopra V, Flanders SA, Saint S, et al; Michigan Appropriateness
Guide for Intravenouse Catheters (MAGIC) Panel. The Michigan Appropriateness Guide
for Intravenous Catheters (MAGIC): results from a multispecialty panel using
the RAND/UCLA appropriateness method. Ann Intern Med 2015; 163(6)(suppl): S1-S40
https://www.acpjournals.org/doi/10.7326/M15-0744
Print December 2021 Midline Catheters vs PICC's
Print December
2021 What's New in the Patient Safety World (full column)
Print December 2021 Beta-Blockers Making a
Comeback?
Print December 2021 Maternal Morbidity Costly in
Human and Fiscal Terms
Print December 2021 Can AI Triage Postoperative
Patients More Appropriately?
Print December 2021 Midline Catheters vs PICC's
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