Top Tweets for #MedicalReasoning

6 months ago

⚠️“𝐋𝐀 𝐂𝐫𝐲𝐬𝐭𝐚𝐥𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐋𝐚𝐛 - 𝐒𝐢𝐠𝐧𝐚𝐥 𝐨𝐫 𝐎𝐯𝐞𝐫𝐫𝐞𝐚𝐜𝐭𝐢𝐨𝐧?” #RegionalAnesthesia #PainMedicine #Anesthesiology #FOAMed #EvidenceVsPractice #MedicalReasoning #MedTwitter #GrayAreasInRA #GrayZonesInRA 𝐆𝐑𝐀𝐘 𝐙𝐎𝐍𝐄𝐒 𝐢𝐧 𝐑𝐀 1️⃣🔬 𝐋𝐚𝐛 𝐬𝐢𝐠𝐧𝐚𝐥 𝐕𝐬 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐫𝐞𝐚𝐥𝐢𝐭𝐲 Many reviews highlight crystallization of LA mixtures. ◼ Derived predominantly from in vitro microscopy ◼ Influenced by pH, concentration, and preparation timing ◼ Studied under static, room-temperature conditions 👉 Yet often extrapolated to clinical concern without in vivo validation 2️⃣ 🧬 𝐓𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐞𝐜𝐞: 𝐡𝐮𝐦𝐚𝐧 𝐭𝐢𝐬𝐬𝐮𝐞 𝐢𝐬 𝐧𝐨𝐭 𝐩𝐚𝐬𝐬𝐢𝐯𝐞 ◼ Nerves are enclosed by epineurium and perineurium ◼ These act as mechanical and diffusion barriers ◼ Restrict penetration of particulate matter 👉 Not every ex vivo crystal will reach or interact with neural tissue 3️⃣🌡️ 𝐓𝐞𝐦𝐩𝐞𝐫𝐚𝐭𝐮𝐫𝐞 & 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜 𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐦𝐚𝐭𝐭𝐞𝐫 Crystallization is environment-dependent. ◼ In vitro → static, room temperature ◼ In vivo → 37°C, dynamic environment ◼ Higher temperature increases solubility ◼ Precipitates may re-dissolve after injection 👉 Apparent stability in vitro may be transient in vivo 4️⃣💧 𝐃𝐢𝐥𝐮𝐭𝐢𝐨𝐧, 𝐟𝐥𝐨𝐰, 𝐚𝐧𝐝 𝐫𝐞𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧: 𝐭𝐡𝐞 𝐨𝐯𝐞𝐫𝐥𝐨𝐨𝐤𝐞𝐝 𝐫𝐞𝐚𝐥𝐢𝐭𝐲 Once injected, solutions are immediately modified. ◼ Rapid dilution in interstitial fluid ◼ Continuous perfusion and vascular uptake ◼ Diffusion across tissue planes 👉 The system shifts from concentrated mixture → diluted biological equilibrium 5️⃣ ⚠️ 𝐅𝐫𝐨𝐦 𝐨𝐛𝐬𝐞𝐫𝐯𝐚𝐭𝐢𝐨𝐧 → 𝐨𝐯𝐞𝐫𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐭𝐢𝐨𝐧 A recurring conceptual chain: crystallization → particles → embolization → neurologic injury ◼ Based on analogy (e.g., particulate steroids) ◼ Supported by isolated case reports ◼ Lacking direct causal evidence 👉 A theoretical possibility is framed as clinical risk 6️⃣ ⚖️ 𝐍𝐚𝐫𝐫𝐚𝐭𝐢𝐯𝐞 𝐢𝐦𝐛𝐚𝐥𝐚𝐧𝐜𝐞 ◼ Benefits → described as modest or inconsistent ◼ Risks → framed as worrisome or significant ◼ Same evidence base, asymmetric interpretation 👉 Leads to a risk-amplified narrative rather than balanced synthesis 7️⃣ 🔄 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐢𝐧𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 ◼ Faster onset with mixtures acknowledged ◼ Block success preserved Yet: ◼ “lack of pharmacologic plausibility” 👉 Clinical effect implies mechanism: this reflects interpretive inconsistency, not absence of biology 8️⃣ 💉 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐯𝐬 𝐭𝐡𝐞𝐨𝐫𝐞𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐜𝐞𝐫𝐧 ◼ Lidocaine–bicarbonate mixtures questioned ◼ LA combinations questioned Despite: ◼ Long-standing clinical use ◼ Guideline-supported application ◼ Lack of consistent adverse outcome signals 👉 Established practice is challenged by preclinical data alone 9️⃣ 🧬 𝐎𝐯𝐞𝐫𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 ◼ Findings from specific drugs or conditions generalized broadly ◼ Drug-specific behavior extended to all mixtures ◼ Inter-drug variability underappreciated 👉 Pharmacology is context- and molecule-specific 🔟 🧠 𝐏𝐡𝐲𝐬𝐢𝐨𝐥𝐨𝐠𝐲 𝐯𝐬 𝐬𝐭𝐚𝐭𝐢𝐜 𝐜𝐡𝐞𝐦𝐢𝐬𝐭𝐫𝐲 In vitro model: ◼ Static ◼ Fixed concentration ◼ No metabolism In vivo reality: ◼ Dynamic circulation ◼ Temperature-dependent solubility ◼ Tissue filtration and buffering 👉 Crystals may be diluted, dissolved, or clinically irrelevant 🧭 𝐌𝐀𝐈𝐍 𝐈𝐒𝐒𝐔𝐄𝐒 Such reviews are valuable for: ◼ Highlighting mechanisms ◼ Generating hypotheses But problematic when: ◼ Preclinical findings are interpreted as clinical risk ◼ Evidence hierarchy is not maintained 🎯 𝐅𝐈𝐍𝐀𝐋 𝐏𝐄𝐑𝐒𝐏𝐄𝐂𝐓𝐈𝐕𝐄 👉 Hypothesis-generating insights should inform research - not prematurely influence practice 👉 The body is not a passive container - it filters, dilutes, & transforms what we inject. 👉 Not every crystal seen in the lab survives, reaches, or harms tissue in vivo.

KartikBSonawane's tweet photo. ⚠️“𝐋𝐀 𝐂𝐫𝐲𝐬𝐭𝐚𝐥𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐋𝐚𝐛 - 𝐒𝐢𝐠𝐧𝐚𝐥 𝐨𝐫 𝐎𝐯𝐞𝐫𝐫𝐞𝐚𝐜𝐭𝐢𝐨𝐧?”

#RegionalAnesthesia #PainMedicine #Anesthesiology #FOAMed #EvidenceVsPractice #MedicalReasoning #MedTwitter #GrayAreasInRA #GrayZonesInRA

𝐆𝐑𝐀𝐘 𝐙𝐎𝐍𝐄𝐒 𝐢𝐧 𝐑𝐀

1️⃣🔬 𝐋𝐚𝐛 𝐬𝐢𝐠𝐧𝐚𝐥 𝐕𝐬 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐫𝐞𝐚𝐥𝐢𝐭𝐲

Many reviews highlight crystallization of LA mixtures.

◼ Derived predominantly from in vitro microscopy
◼ Influenced by pH, concentration, and preparation timing
◼ Studied under static, room-temperature conditions

👉 Yet often extrapolated to clinical concern without in vivo validation

2️⃣ 🧬 𝐓𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐞𝐜𝐞: 𝐡𝐮𝐦𝐚𝐧 𝐭𝐢𝐬𝐬𝐮𝐞 𝐢𝐬 𝐧𝐨𝐭 𝐩𝐚𝐬𝐬𝐢𝐯𝐞

◼ Nerves are enclosed by epineurium and perineurium
◼ These act as mechanical and diffusion barriers
◼ Restrict penetration of particulate matter

👉 Not every ex vivo crystal will reach or interact with neural tissue

3️⃣🌡️ 𝐓𝐞𝐦𝐩𝐞𝐫𝐚𝐭𝐮𝐫𝐞 & 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜 𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐦𝐚𝐭𝐭𝐞𝐫

Crystallization is environment-dependent.
◼ In vitro → static, room temperature
◼ In vivo → 37°C, dynamic environment
◼ Higher temperature increases solubility
◼ Precipitates may re-dissolve after injection

👉 Apparent stability in vitro may be transient in vivo

4️⃣💧 𝐃𝐢𝐥𝐮𝐭𝐢𝐨𝐧, 𝐟𝐥𝐨𝐰, 𝐚𝐧𝐝 𝐫𝐞𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧: 𝐭𝐡𝐞 𝐨𝐯𝐞𝐫𝐥𝐨𝐨𝐤𝐞𝐝 𝐫𝐞𝐚𝐥𝐢𝐭𝐲

Once injected, solutions are immediately modified.
◼ Rapid dilution in interstitial fluid
◼ Continuous perfusion and vascular uptake
◼ Diffusion across tissue planes

👉 The system shifts from concentrated mixture → diluted biological equilibrium

5️⃣ ⚠️ 𝐅𝐫𝐨𝐦 𝐨𝐛𝐬𝐞𝐫𝐯𝐚𝐭𝐢𝐨𝐧 → 𝐨𝐯𝐞𝐫𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐭𝐢𝐨𝐧

A recurring conceptual chain:
crystallization → particles → embolization → neurologic injury
◼ Based on analogy (e.g., particulate steroids)
◼ Supported by isolated case reports
◼ Lacking direct causal evidence

👉 A theoretical possibility is framed as clinical risk

6️⃣ ⚖️ 𝐍𝐚𝐫𝐫𝐚𝐭𝐢𝐯𝐞 𝐢𝐦𝐛𝐚𝐥𝐚𝐧𝐜𝐞

◼ Benefits → described as modest or inconsistent
◼ Risks → framed as worrisome or significant
◼ Same evidence base, asymmetric interpretation

👉 Leads to a risk-amplified narrative rather than balanced synthesis

7️⃣ 🔄 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐢𝐧𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲

◼ Faster onset with mixtures acknowledged
◼ Block success preserved
Yet:
◼ “lack of pharmacologic plausibility”

👉 Clinical effect implies mechanism: this reflects interpretive inconsistency, not absence of biology

8️⃣ 💉 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐯𝐬 𝐭𝐡𝐞𝐨𝐫𝐞𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐜𝐞𝐫𝐧

◼ Lidocaine–bicarbonate mixtures questioned
◼ LA combinations questioned

Despite:
◼ Long-standing clinical use
◼ Guideline-supported application
◼ Lack of consistent adverse outcome signals

👉 Established practice is challenged by preclinical data alone

9️⃣ 🧬 𝐎𝐯𝐞𝐫𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧

◼ Findings from specific drugs or conditions generalized broadly
◼ Drug-specific behavior extended to all mixtures
◼ Inter-drug variability underappreciated

👉 Pharmacology is context- and molecule-specific

🔟 🧠 𝐏𝐡𝐲𝐬𝐢𝐨𝐥𝐨𝐠𝐲 𝐯𝐬 𝐬𝐭𝐚𝐭𝐢𝐜 𝐜𝐡𝐞𝐦𝐢𝐬𝐭𝐫𝐲

In vitro model:
◼ Static
◼ Fixed concentration
◼ No metabolism

In vivo reality:
◼ Dynamic circulation
◼ Temperature-dependent solubility
◼ Tissue filtration and buffering

👉 Crystals may be diluted, dissolved, or clinically irrelevant

🧭 𝐌𝐀𝐈𝐍 𝐈𝐒𝐒𝐔𝐄𝐒

Such reviews are valuable for:
◼ Highlighting mechanisms
◼ Generating hypotheses

But problematic when:
◼ Preclinical findings are interpreted as clinical risk
◼ Evidence hierarchy is not maintained

🎯 𝐅𝐈𝐍𝐀𝐋 𝐏𝐄𝐑𝐒𝐏𝐄𝐂𝐓𝐈𝐕𝐄

👉 Hypothesis-generating insights should inform research - not prematurely influence practice

👉 The body is not a passive container - it filters, dilutes, & transforms what we inject.

👉 Not every crystal seen in the lab survives, reaches, or harms tissue in vivo.

617

wayneliangmd.bsky.social @WayneLiangMD

over 4 years ago

@JHospMedicine #JHMChat #Q1 teaching trainees how to write a #clinicalnote: I tell them to not just info dump but to write persuasively (with #medicalreasoning) so it’s clear to the reader why they took the clinical actions they took. Presentations also should be persuasive. #medtwitter

Jesus Ramirez-Bermudez @JRBneuropsiq

over 4 years ago

In #neuropsychiatry & behavioral #neurology, the clinician faces sometimes a patient with a well-known neurological disorder who subsequently develops a psychiatric syndrome. The #MedicalReasoning goes from the possible cause (damage to brain tissue) to its possible effect... 1/7

Michele Emdin @MicheleEmdin

about 6 years ago

#medicalreasoning at #COVID19 time at the #ScuolaSant’Anna: Nicoló Ribarich discussing the hot topic with Michele Emdin, Lorenzo Mangone, Silvia Barbiero, Luca Tessieri, Filippo Quattrone

Top Tweets for #MedicalReasoning

Last Seen Hashtags on Sotwe

Trends for you

Most Popular Users