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Dan Ostermayer
463555bb4b0f80fd1376fae628fabfaf7e5e31cd2741d80aa4d225c926bc287e
physician metabolic health maximalist 📚 co-sleeping https://a.co/d/0itAvPV the simple world https://a.co/d/5u4BdMU 📚

many antioxidants in the presence of transitional metals(iron or copper) are pro-oxidative.

Antioxidants like ascorbate (vitamin C) or polyphenols donate electrons to neutralize free radicals (e.g., ‱OH, O₂‹⁻). However, in the presence of free transition metals (FeÂČâș/Cuâș), they over-reduce these metals, initiating a catalytic cycle that generates more radicals than they scavenge.

this is why hydrogen water (although it appears scammy) is actually founded in biochemical truth in comparison to most exogenous antioxidants

hydrogen is not an antioxidant it is a reducing agent and can only donate an electron not catalyze other oxidative processes after donating itself.

it is far safer and probably healthier to drink a couple cups of "hydrogen" water than antioxidant supplements.

Tunevall et al., 1991

- Single-center RCT in Varberg, Sweden, 1984–1989.

- Population: 4,087 “clean” or “clean-contaminated” elective general-surgery cases.

- Mask group:Staff used masks (control).

- No-mask group: Staff used **no masks (intervention).

- Outcome: Surgical-site infection (SSI) rate within 30 days.

- Results: Infection rate 3.5 % with masks vs. 3.5 % without masks (p = 0.95).

- Interpretation: The trial had only 50 % power to detect the 20 % relative difference the authors pre-specified as clinically important. A post-hoc power analysis showed it could have missed a true difference.

- Limitations: Single center, no blinding, outdated aseptic techniques.

Webster et al., 1978

- Design: 3-week crossover RCT in London teaching hospitals.

- Population: 3,088 gynaecologic surgery patients over three years.

- Mask group vs. no-mask group**: Same surgical teams alternated every week.

- Results: No statistically significant difference in SSI rates (≈ 2 % in each group).

- Limitations:

- Short follow-up;

- Masking was not double-blinded;

- No sample-size calculation;

- Modern prophylaxis not used (no single-dose antibiotics).

Orr, 1981 (non-RCT)

- Design: Retrospective chart review before/after policy change.

- Population: 1,308 clean hernia repairs.

- Findings: SSI rates dropped after masks were abandoned, but the change coincided with simultaneous improvements in ventilation and prophylactic antibiotics, so causation cannot be inferred.

- The 2016 Cochrane Review “Surgical face masks to reduce bacterial contamination of the surgical field: effectiveness and harms” identified only the two small RCTs above. Their conclusion was:

“The small number of trials, together with 
 low methodological quality and the heterogeneity of interventions, means that there is no reliable evidenceon the effectiveness of wearing 
 masks to reduce SSI rates

maybe i should đŸ€”

Lipp A, Edwards P. **Surgical face masks to reduce bacterial contamination of the surgical field: effectiveness and harms.** Cochrane Database Syst Rev. 2016;(2):CD006087. PubMed PMID: 26819913.

[2] Tunevall TG. **Postoperative wound infections and the use of an occlusive face mask by the surgical team.** Infect Control Hosp Epidemiol. 1991 Mar;12(3):155-9. PubMed PMID: 1906247.

[3] Webster J, Croger S, Lister C, Doidge M, Terry MJ, Jones I. **Use of face masks by non-scrubbed personnel in the operating room during clean surgery: a randomised controlled trial.** ANZ J Surg. 2010 Apr;80(4):243-9. PubMed PMID: 20546154.

[4] Orr NW. **Is a mask necessary in the operating theatre?** Ann R Coll Surg Engl. 1981 Sep;63(5):390-2. PubMed PMID: 7025465; PMCID: PMC2493966.

this is an example of the weak reasoning that infects medical science. vaccines are either sterilizing and protect the receiver and prevent spread or non-sterilizing but still prevent illness.

if they don't provide personal protection then they are ineffective and should not be on the market.

still an individual or parental choice if they want to protect themselves. others actions have no effect if the vaccination works.

nostr:nevent1qqstm9vy4jzrcurgf33yc86re8jrqxjnk3l5heft36e7qymvd2glatcpzemhxue69uhhyetvv9ujuurjd9kkzmpwdejhg2n464t

This is the linoleic acid molecule. The radical oxidation that takes place in your body (oxygen rich environment) contributes to all of the negative downstream effects of seed oils. The radical oxidation is what ultimately poisons the mitochondria and leads to so much metabolic dysfunction in the fiat diet.

Saturated fats lack the Carbon==Carbon double bond and are full of hydrogen molecules. This is why polyunsaturated (less hydrogen saturation) is so detrimental to human health.

this video demonstrates everything you need to know about healthcare science from 2020-2024

https://blossom.primal.net/fd20e197e19b7b906ef78e5df587225ce134de5a6818d7f590206098a40103a8.mp4

coming over from twitter, it is pretty wild to think i own my identity here.

as a doc who was always hesitant to post during covid times since anything against the doctrine could end in a deplatforming event, nostr would have been amazing to have during such a controversial and manipulated timeline.

i'll mostly post about metabolic health as it is core to everything.

without health it doesn't matter how rich you are.

A1c shows where you’ve been (long-term glucose control).

Fasting insulin shows where you’re headed (current insulin resistance).

If your fasting insulin is high but A1c is normal, you’re in the danger zone

Fasting Insulin:

Measures insulin concentration in your blood after an 8–12 hour fast.

Reveals how hard your pancreas is working right now to manage blood sugar.

High levels (>10–25 ÎŒIU/mL, depending on lab) signal insulin resistance—your cells aren’t responding to insulin, so your pancreas pumps out more to compensate.

-Can detect metabolic dysfunction years before A1c rises. Many with "normal" A1c have high fasting insulin, meaning they’re already on the path to diabetes.

A1c (Hemoglobin A1c):

-Reflects your average blood glucose levels over the past 2–3 months.

-Measures glucose attached to hemoglobin in red blood cells (which live ~120 days).

-Used to diagnose and monitor diabetes:

Normal: <5.7%

Prediabetes: 5.7–6.4%

Diabetes: ≄6.5%

Limitation: Doesn’t capture blood sugar spikes or insulin function—only the end result (glucose exposure).

most primary care physicians measure your A1c to screen for progression to diabetes but it is an inferior measurement to capture early metabolic dysfunction.

They should be measuring fasting insulin levels. Here's why: