03/2022#
#cheese
Reypenaer*
1. Nietszche
2. Socrates
3. Epicurus*
Loses 25% of weight during its historical ripening process (2.5-3 jaars)
x
1 jaar 200g
VSOP 200g
XO 580g
x
The Philosophy of Luxury. — A garden, figs, a little cheese, and three or four good friends — that was the luxury of Epicurus
x
Mozzarella
Toasted baguette 🥖
Tomato 🍅
Roasted peppers 🌶
.
#bourdain
Bourdain was known for his sarcastic comments about vegan and vegetarian activists, considering their lifestyle "rude" to the inhabitants of many countries he visited. He considered vegetarianism, except in the case of religious exemptions, a "First World luxury". However, he also believed that Americans eat too much meat, and admired vegetarians and vegans who put aside their beliefs when visiting different cultures in order to be respectful of their hosts
.
#patton
Through a Glass Darkly,
Perhaps I stabbed our SaviorIn His sacred helpless side.Yet I’ve called His name in blessingWhen in after times I died.
Through the travail of the agesMidst the pomp and toil of warHave I fought and strove and perishedCountless times upon this star.
I have sinned and I have sufferedPlayed the hero and the knaveFought for belly, shame or countryAnd for each have found a grave.
So as through a glass and darklyThe age long strife I seeWhere I fought in many guises,Many names – but always me.
So forever in the futureShall I battle as of yore,Dying to be born a fighterBut to die again once more.
https://spotterup.com/poetry-george-s-patton/
.
#9mileruns
11/13/18-3/25/22
Total 145
<8’30” 9 (93rd percentile)
=8’30” 9 (87th percentile)
&8’40” is a “B”
.
#willsmith
In his 432-page book published in November, called “Will,” Smith confided that for a time he would sometimes vomit after orgasming.
https://nypost.com/2022/03/28/will-smiths-wild-year-sex-reveals-to-crazy-oscars-outburst/
.
https://www.youtube.com/watch?v=rkfFyELXdoM
.
#thiel
5:40/22:19
https://www.youtube.com/watch?v=H5NUv0nOQCU
The Education Good:
— Investment: future
— Consumption: party
— Insurance: safety-net
— Tournament: zerosum
https://www.youtube.com/watch?v=WOEsVjqoOfA
2:40/19:37
.
#run
3/30/22
Last meal at 15:40
— Burger 🍔
— Fries 🍟
— Cheese Panini 🥪🧀
— Jalapeño grits
— Ketchup
.
Slide 1: Title
I’m going talk to you about the..
So.. A key part of donor evaluation is the estimation of the donor candidates risks, communicating these to the donor candidate, and reaching a shared decision on whether its appropriate to proceed with donation
Slide 2: Frank
Now.. A knowledge gap exists in our understanding of the risks faced by older donors
Here we have Frank, the oldest living donor to date – 84yo (Linda — 72yo neighbor). The informed consent process in this case could not have been based on actual data from older donors (i.e., maybe extrapolations from younger donors)
Slide 3: Data
To address this knowledge gap, I’ll be using national registry data to enumerate all the older donors in the US
Slide 4: Analysis
We can thus quantify the risks attributable to donation… the kind of information that is currently lacking for older donors.. and to be shared during the informed consent process
Slide 5: Challenges
Preceding outcomes that affect quality of life
No Gerontological syndromes not captured by ICD-10 codes..
Our findings will inform the conversation between candidate and provider about the propriety of donation
*NIS
Slide 6: Goals
These ideas translate into the following specific research aims: Our efforts will culminate in the creation of online risk calculators that inform the conversation between candidates and providers about the propriety of donation. Dr. Muzaale will learn how sentinel hospitalization events in an aging cohort of older donors leave a footprint of present and missing
Aim 1 & 2: info for medical community
Aim 3: more accessible info for donor candidates
Slide 7: Online-Calculators
A.
Nonparametric hazard of the base-case; maximum-likelihood estimate of the difference (on a log scale) between the hazard of the base-case and the hazard for the specific-case with explanatory variables X, and t-years (using base-case absolute risks and specific-case relative risk coefficients from the multivariable regression in Aims 1 and 2)
B.
In a manner analogous to what I just described for risk of ESRD/death, we will use multivariable logistic regression to describe nephrectomy attributable hospitalizations, associated medical diagnoses. Beta– maximum likelihood estimate of the additive effect on the log odds for a unit change in a given explanatory variable X
X
1.IRB, logistics
— acceleratomoerr
— hearing aids
—
Consenting, acquisition
— older subgroup.. 75
— server size
—EMR data l, lazy
— Big a problem? EModification
What do we know
How common is donation >50
— power and comments
— think about what to do if not power
Confounding by indication — in frailty
.
1.Julie
— Insurance companies & others may use your calculators for harm
— Consider IRB implications of proposed EMR: consenting, aquisition
— Publishing a paper that reduces access to donation
— Accelerometer and hearing aids: pertinent to gerontology and in NHANES/EMR
2.Karen
— Big picture (increasing trends for older donors)
— Gerontologist hat (confounding by indication in frailty for EMR: cause-inference methods)
— Statistics hat
— Effect-modification a big problem? What do we know? How common is donation over 50?
3.Pete
— Validating EMR for donors as NHANES has already be done
— Quality of EMR data: I’m a lazy clinician for instance
— Power size calculation: what difference in risk between groups is clinically relevant?
4.Celentano
—
5.Dorry
— Missing data mechanisms
— Validating new national registry
— OPTN oversight encouraging on clinical practice (e.g. eGFR in donors, CMS flags, etc)
.
#hitmen
1.Chucky Thompson
2.Stevie J
3.Mario Winans