Table 3.xls (25.5 kB)
Univariable and multivariable logistic regression analysis of the relationship between glucose metrics and fatal outcomes.
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posted on 2024-01-31, 18:33 authored by Sarawut Krongsut, Chatchon KaewkrasaesinUnivariable and multivariable logistic regression analysis of the relationship between glucose metrics and fatal outcomes.
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various glucose metricsstress hyperglycemia ratiopoor functional outcomenewly developed metricincluding different typesgreatest predictive powerdifferent glucose metricscontinuous glucose metricsacute ischemic stroke48 – 142015 821159 215hba1c ) 8722assess adverse outcomes59 ]; shr4009 ), 3003 ), sichpredicting fatal outcomessich ], 3fpg /[( 1ais patients treated39 ]; p59 ]; gg001 ), mcefpg ),fatal outcomes59 ].hba1c ).ais ).001 ),82 ];21 ];04 ];xlink ">subgroup analysissignificant correlationshr ),retrospectively enrolledpoint increasesperformance comparisonper 1p odds ratiosmonth mortalityhospital mortalityhemoglobin a1cglycemic gapcollected datacalculated using[( 1
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