Article Notes
- Medication considerations
- Stimulants (methylphenidate, amphetamines)
- May increase sympathetic tone (tachycardia, hypertension, arrhythmias)
- Possible attenuation of response to indirect-acting vasopressors (e.g. ephedrine, metaraminol); prefer direct-acting agents (phenylephrine, epinephrine)
- Withdrawal or omission perioperatively may cause fatigue, irritability, behavioural instability.
- Possible altered anaesthetic requirements; stimulants may increase MAC slightly, though evidence is inconsistent.
- Non-stimulants (atomoxetine, guanfacine, clonidine) - α2-agonists (guanfacine, clonidine) can potentiate sedation and hypotension.
- Stimulants (methylphenidate, amphetamines)
- Behavioural and perioperative management
- Difficulty with preoperative cooperation and anxiolysis (may need structured preparation, early anxiolytic use, or parental presence in paediatrics); Increased anxiety or agitation in unfamiliar environments.
- Impulsivity may increase risk of perioperative non-adherence (e.g. fasting rules, device removal).
- Higher risk of emergence agitation or delirium, especially in children.
- May display increased postoperative anxiety, irritability, or oppositional behaviour
- Pain perception and reporting may be inconsistent, complicating assessment and analgesia planning.
- Comorbidities
- High association with anxiety, depression, and substance use disorders (impact on anaesthetic planning and perioperative risk)
- Sleep disturbances common, may complicate recovery and pain management
Attention Deficit and Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterised by inattention, hyperactivity, and impulsivity. It is most commonly diagnosed in childhood, with a male predominance (approximately 2-3:1), though symptoms often persist into adulthood. Global prevalence is estimated at ~5-7% in children and ~2-3% in adults. Meta-analyses show ADHD is primarily genetic with 70–80% heritability.
Anesthesia issues
Daniel Jolley
From the best-available current evidence (Ahlqvist 2024): NO
The American Academy of Obstetrics and Gynecology's journal ACOG, summarises it best in Damkier et al.'s 2025 review article:
"According to the current scientific evidence, in utero exposure to acetaminophen is unlikely to confer a clinically important increased risk of childhood ADHD or ASD." - Damkier (2025)
Ahlqvist et al's 2024 Swedish cohort study of 2.48 million children showed that when controlling for family confounders by using sibiling controls, there was no association between paracetamol/acetaminophen use and various neurodevelopmental problems:
"Acetaminophen use during pregnancy was not associated with children's risk of autism, ADHD, or intellectual disability in sibling control analysis." - Ahlqvist (2024)
The problem with many of the earlier (and often contradictory) studies that showed a possible association, was that by necessity these were observational studies that struggled to control for confounders. The classic "association is not causation" trap. Ahlqvist et al's very large study, while still observational, uses matched sibling controls to neutralise "unobserved confounding" – and reassuringly, the association dissapears.
Nonetheless, it’s worthwhile being aware of the body of evidence and how it has evolved over the last decade. Professional obstetric organisation advice remains unchanged: paracetamol is appropriate to use in pregnancy when managing fever and pain, which untreated have their own detrimental fetal effects.
Daniel Jolley
What's the deal?
This lab study from Zhong et al. challenges the assumption that low-flow anaesthesia is economically and environmentally superior during TIVA anaesthetics when volatile agents are not used.
What did they do?
Zhong used a test lung model with fixed CO2 inflow (250 ml/min) ventilated via circle systems of two anaesthetic machines (Dräger Primus and GE Aisys CS2). FGF rates of 1, 2, 4, and 6 L/min were tested, measuring the time to CO2 absorbent exhaustion (when inspired CO2 >0.3 kPa).
An inspired 30% O2/air mixture was used, with the test lung volume-control-ventilated at 12 bpm with 500 mL tidal volumes.
Findings
Results showed that increasing FGF from 1 to 6 L/min resulted in over 90% reduction in running costs with minimal net change to global warming potential. The time to absorbent exhaustion increased non-linearly with higher FGFs, taking over 5-8 days at 6 L/min. Notably, removing the CO2 absorbent entirely and using very high FGF (15-18 L/min) provided minimal additional economic benefit while more than doubling the environmental impact.
"We suggest that 'high-flow anaesthesia', with FGF around 6 L/min, is a viable cost-saving strategy when using a circle system for anaesthetic maintenance without inhalational anaesthetic agents in adults."
Hang-on...
The absolute cost saving (due to reduced soda lime consumption) was actually pretty small, being less than 4% of the total non-staff anaesthetic cost. Although this might still be economically significant when scaled across an entire health system, especially given the simplicity of implementation and the lack of drawback.
Bottom-line
When using total intravenous anaesthesia with modern HME filters, higher fresh gas flows (~6 L/min) are more cost-effective than traditional low-flow techniques, without compromising environmental impact or patient safety.
Daniel Jolley
Why care about LLM's?
Large language models (LLMs) have revolutionised natural language processing, and so inevitably have found their way into healthcare. Their use in decision support and diagnosis has however shown mixed results, even as models and integrations quickly improve.
Despite short-comings, LLMs cannot be ignored by doctors – growing health cost-demand-challenges will continue to push LLM-based tools into clinical practice, even before robust clinical validation. We also know that diagnostic errors are common and costly, both in economic and patient safety terms, increasing the allure of medical LLMs.
What did this study do?
This single-blinded randomised controlled trial included 50 physicians (26 attendings, 24 residents) from family medicine, internal medicine, and emergency medicine. Participants were randomised to either use ChatGPT-4 plus conventional resources or conventional resources only, to complete up to six clinical diagnostic cases within 60 minutes.
Diagnostic performance was measured using validated standardised scoring of three elements: accuracy of generated differential diagnoses, ability to identify supporting and contradicting clinical findings, and the appropriateness of proposed next diagnostic steps.
(Interesting aside: the six selected vignettes were from a 1994 pool of 105 never-published real patient cases originally used in a landmark study on diagnostic systems, guaranteed to be outside the LLM's training data, as these cases have been kept private to preserve their future testing validity.)
And they found?
The LLM alone performed significantly better than either physician group, scoring 16 percentage points higher than the control group (95% CI, 2-30 %-points). Yet physicians with access to the LLM effectively showed no improvement compared to the conventional-resources-alone group (76% vs 74% median diagnostic score, p=.60). Time spent per case was no different between groups.
"Access alone to LLMs will not improve overall physician diagnostic reasoning in practice. These findings are particularly relevant now that many health systems offer [HIPAA]–compliant chatbots ... often with no to minimal training..."
Bottom-line
This study highlights the "implementation gap" between AI capability and clinical utility: even if reliably and consistently accurate (a big 'if'), the mere availability of AI tools will not automatically translate into improved clinical reasoning. Successful integration will require deliberate consideration of how to optimise human-AI collaboration in medical practice.
Daniel Jolley
This study from Liu et al. investigated whether using laryngeal mask airways (LMAs) might reduce atelectasis formation compared to endotracheal tubes (ETTs) during general anaesthesia (sufentanil/propofol/rocuronium → propofol/remifentanil TIVA; VCV: TV 6-8 mL/kg, PEEP 5 cmH2O, I:E 1:1.5, RR 12-20 & FiO2 40%.).
In their single-centre, double-blind randomised controlled trial of 180 patients undergoing non-laparoscopic surgery, they used lung ultrasound scoring to assess atelectasis at various timepoints.
The results were interesting: the LMA group showed significantly lower lung ultrasound scores at all timepoints, better oxygenation, and fewer postoperative pulmonary complications. The authors attribute this to several factors, including faster airway insertion (41 vs 95 seconds of apnoea), reduced airway irritation, and lower requirements for anaesthetic depth and muscle relaxation.
While these findings are limited to relatively healthy patients having shorter procedures, they suggest that when appropriate, using an LMA rather than ETT may help reduce atelectasis formation. However, as the authors acknowledge, these results may not apply to longer procedures, laparoscopic surgery, or higher-risk patients, and the risk-benefit balance of an unprotected airway versus an ETT must always be considered.
Daniel Jolley