William Schwartz, the co-discoverer of SIADH has died

William Schwartz has died.

Every Monday at noon during fellowship we had the fluid and electrolyte conference with Dr. Fred Coe. Dr. Coe has extra-sensory powers for electrolytes. When you presented, you would give just the electrolytes and he would re-create the entire case from the metabolic panel. During the lecture he would ask you to explain a certain pathophysiology and then excoriate you if your thoughts were lazy and poorly organized.

If you ever blamed a poorly characterized hyponatremia on SIADH, Dr. Coe would look at you and ask “If Bartter and Schwartz were here, at this table, right now, and were looking at the same data that you have provided, would they agree that this is SIADH? Would they?”

JASN re-printed the original 1957 article describing SIADH in 2001.

Goodbye Dr. Schwartz, yours are the shoulders we stand-on in the daily grind of clinical nephrology.

Fluid and Electrolyte lecture at Providence from Friday

Third in the series of interesting fluid and electrolyte cases.

I would add a slide on where I was going in potassium before the anorexia section.

SlideSpace botches the torn paper frames I used through out the lecture so if you have Keynote, download and look at the native file.

Here is a link to the Keynote file.

iPhone Medical Applications

I have four medical applications on my iPhone, of which I use two. Here is a quick review.

To show how the iPhone equipped physician approaches clinical problems I will use the DB’s Medical Rants most recent acid-base problem. He presents a case with the following information:

49-year-old man, previously in good health, presents after a few weeks of progressive weakness and dizziness. He admits to polyuria. Your job is to extensively discuss his lab tests.

The first step in my mind is to fully interpret the ABG. To do this we will use the application ABG.

ABG

This simply named program is an ABG calculator that runs through the standard algorithms for detecting multiple primary acid-base abnormalities. Can’t remember Winter’s Formula. As long as you don’t have boards coming up you can just plug’n chug and turn DB’s ABG into the following:

This does two of the calculations that DB describes at length:

  1. Winter’s formula (16 * 1.5 + 8 ±2) shows that the predicted pCO2 is 30-34. The patient’s CO2 is 33 so the patient has isolated and appropriately compensated pCO2 of 33. ABG displays this information in the second line when it describes the acid-base disorder as “Compensated metabolic acidosis.” It does not describe a second primary condition such as respiratory acidosis or alkalosis.
  2. Gap-Gap or delat-delta. The patient has a dramatically elevated anion gap at 27 (15 over the upper limit of normal of 12) but his bicarb of 16 is only 8 below normal. The difference between the delta gap and the delta anion gap is 7 (15-8) when this is added to the normal bicarbonate you get 31; so the patient had a pre-existing metabolic alkalosis with a bicarbonate of 31. ABG displays this information as the corrected bicarbonate.

The next step is adjusting his sodium for the hyperglycemia. To do this we will use Mediquations though Medical  Calc works just as well.

Mediquations
DB, in his discussion, states that he has unpublished data proving that no formula is effective at adjusting the serum sodium for the hyperglycemia. For those of us without his unpublished data should adjust the sodium using Katz’s traditional conversion (pdf of a letter to JAMA discussing adjusting sodium for hyperglycemia in DKA. Katz’s original conversion was discussed in a letter to the NEJM) of a drop in Na of 1.6 for every 100 the glucose is over 100 mg/dL. Nephrology fellows should additionally be aware of Hillier’s data showing the sodium falling 2.4 for every 100 of glucose. Both Mediquations and Medical calculator adjust the sodium using Katz’s conversion.

Of coarse you wouldn’t know it was Katz’s conversion because even if you tap on “More Info,” Mediquation does not provide the reference. Likewise you will not get the reference with Medical Calc.

Though DB did not explore free water defecits in his discussion of the case this is a clinically relevent point. You can use Mediquation to calculate the water deficit.


I feel that using ABG and Mediquations will make you a more effective physician without forcing you to memorize equations used only periodically.

July first lecture on IVF, Diuretics and dysnatremia


Today I gave the first lecture of the ’08-’09 Academic Year. This was morning report for internal medicine. I did a lecture on IVF, diuretics, total body water and dysnatremia. It was a good lecture but Powerpoint only. I am about half-way done with the killer handout I am working on and am disapointed that I didn’t finish it. Hopefully will have it done for the next lecture in two weeks.

Fluids And Electrolytes July1

View SlideShare presentation or Upload your own. (tags: diuretics sodium)

Hyponatremia and Marathons

I love it when some of the arcane nephrology knowledge makes headlines. When I heard NPR covering hyponatremia I almost cried. I am training for a half marathon in October and so I have been thinking about this topic.

Almond, Et al’s study published in the NEJM looked at 488 blood samples from 766 runners recruited from the 2002 Boston Marathon. They found post-race:

  • Average sodium 140±5 mmol/L
  • 13% had a sodium <>
    • 22% of woman
    • 8% of men
  • 3 runners had Na <>

When they looked at predictors of hyponatremia, univariate predictors included:

  • Female gender (p<0.001)
  • Lower BMI
  • Fewer prior marathons (p=0.008)
  • Slower training pace (p<0.001)
  • Longer race duration (p<0.001)
  • Hydration frequency (p<0.001)
  • Hydration volume (p=0.01)
  • Urination during the race (with more frequent voiding having a higher risk of hyponatremia) (p=0.047)
  • Weight gain during the race (p<0.001)

Of note use of sport drinks compared to pure water made no difference. In the multivariate analysis, hyponatremia was associated with:

  • weight gain
  • longer racing time
  • body-mass index of less than 20

Of note the female gender falls out in the multivariate analysis as it likely was accounted for both by the longer running time and lower BMI.

In the discussion the authors mention that most sport drinks have only 18 mmol/L of Na.