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Cumulative time in band: glycemic level, variability and patient outcome vs. mortality

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Academic year: 2021

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CUMULATIVE TIME IN BAND:

GLYCEMIC LEVEL, VARIABILITY AND PATIENT OUTCOME vs. MORTALITY

Sophie Penning, Matthew Signal, Jean-Charles Preiser, Geoffrey Shaw, Aaron Le Compte, Christopher Pretty, Thomas Desaive, J. Geoffrey Chase

Negative outcomes of dysglycemia are associated with exposure and repetition to high

glucose levels, indicating that metrics of exposure might influence outcome.

Introduction

This research addresses the key questions:

 Is glycemic control associated with improved hospital mortality regardless of how it

is achieved?

 Is there a metric of glycemic control performance or level that can be assessed in

real time to adequately discriminate between patient outcomes?

Objectives

 Retrospective analysis of data from two glycemic control studies.

 Glycemic performance metric: cumulative time in band – cTIB

 Analysis by outcome glycemic performance rather than treatment group.

Methods

0 6 12 18 24 30 36 42 48 54 60 0 1 2 3 4 5 6 7 8 9 10 11 12 13 cTIB = 2/7 = 29% cTIB = 19/25 = 76% cTIB = 39/49 = 80% B G ( m m o l/ L) Time (hours) cTIB = 51/61 = 84%

“cTIB is the percentage of glucose measurements within a specified band from the start to the present

time”

“cTIB is the percentage of glucose measurements within a specified band from the start to the present

time”

“Yes, and it captures both glycemic level

and variability”

“Yes, and it captures both glycemic level

and variability”

Days of stay

O

d

d

s

ra

ti

o

Band

4.0-7.0 mmol/L 5.0-8.0 mmol/L 4.0-8.0 mmol/L

Th

re

sh

o

ld

cT IB ≥ 5 0 % cT IB ≥ 8 0 % cT IB ≥ 7 0 % cT IB ≥ 6 0 %

“We investigated three different glycemic bands and four cumulative time in band

thresholds”

“We investigated three different glycemic bands and four cumulative time in band

thresholds” indicates less tolerance for “A higher threshold level

dysglycemia and variability”

“A higher threshold level indicates less tolerance for dysglycemia and variability”

 Yes! Glycemic control is associated with

improved hospital mortality regardless of how

it is achieved.

 Yes! there is a metric of glycemic control

performance or level that can be assessed in

real time to adequately discriminate between

patient outcomes.

Conclusions

Lived Died cTIB ≥ t N1 N2 cTIB < t N3 N4

“A higher OR means a better chance of

survival”

“A higher OR means a better chance of

survival”

SPRINT Glucontrol All

Number of patients 784 933 1717 Percentage of males 61.2 63.2 62.3

Age of patients 65.0 [52.0 - 74.0] 65.2 [51.5 - 74.0] 65.0 [51.8 - 74.0] APACHE 2 score 18.0 [15.0 - 24.0] 15.0 [11.0 - 21.0] 17.0 [13.0 - 23.0] Cohort BG (mmol/L) 6.2 [5.3 - 7.4] 6.9 [5.8 - 8.4] 6.6 [5.6 - 8.1] Per-patient median BG (mmol/L) 6.3 [5.6 - 7.5] 6.9 [6.1 - 8.2] 6.6 [5.8 - 7.9] %BG in 4-7 mmol/L 66.8 49.8 56.4

Odds of living given cTIB ≥ t Odds of living given cTIB < t

N1 N4 N2 N3

Odds ratio (OR) = =

0 12 24 36 48 60 72 84 96 108 120 132 144 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Time (hours) 4.0-7.0 mmol/L 0 12 24 36 48 60 72 84 96 108 120 132 144 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Time (hours) 5.0-8.0 mmol/L 0 12 24 36 48 60 72 84 96 108 120 132 144 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Time (hours) 4.0-8.0 mmol/L B G ( m m o l/ L)

Results

Band

“A higher cumulative time in band is a associated with a greater chance of survival”

“A higher cumulative time in band is a associated with a greater chance of survival”

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