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Brief ReportBrief Communication
Open Access

Renal dysfunction as a predictor of acute stroke outcomes

Danah K. AboAlSamh, Ahmad A. Abulaban, Ismail A. Khatri and Ali M. Al-Khathaami
Neurosciences Journal October 2017, 22 (4) 320-324; DOI: https://doi.org/10.17712/nsj.2017.4.20170185
Danah K. AboAlSamh
From the Department of Medicine (Abulaban, Khatri, Al-Khathaami), King Abdulaziz Medical City, from King Abdullah International Medical Research Center (AboAlSamh, Al-Khathaami), from King Saud Bin AbdulAziz University for Health Sciences (Khatri), National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia
MBBS
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  • For correspondence: [email protected]
Ahmad A. Abulaban
From the Department of Medicine (Abulaban, Khatri, Al-Khathaami), King Abdulaziz Medical City, from King Abdullah International Medical Research Center (AboAlSamh, Al-Khathaami), from King Saud Bin AbdulAziz University for Health Sciences (Khatri), National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia
MBBS
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Ismail A. Khatri
From the Department of Medicine (Abulaban, Khatri, Al-Khathaami), King Abdulaziz Medical City, from King Abdullah International Medical Research Center (AboAlSamh, Al-Khathaami), from King Saud Bin AbdulAziz University for Health Sciences (Khatri), National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia
MD, FAAN
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Ali M. Al-Khathaami
From the Department of Medicine (Abulaban, Khatri, Al-Khathaami), King Abdulaziz Medical City, from King Abdullah International Medical Research Center (AboAlSamh, Al-Khathaami), from King Saud Bin AbdulAziz University for Health Sciences (Khatri), National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia
MBBS, FRCPC
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    Table 1

    Baseline patients characteristics according to eGFR categories.

    CharacteristicsEstimated GFR (eGFR) LevelsTotal n (%)P-value*
    eGFR >60 mL/min/1.73 m2eGFR ≤60 mL/min/1.73 m2
    Overall percentage in sample596 (82.0)131 (18.0)727 (100)
    eGFR, mL/min/1.73 m2, mean±SD94.08±19.29643.27±14.094
    Age, years, mean±SD58.22±13.0763.31±12.500.187
    Gender0.878
     Male409 (68.6)89 (31.4)498 (68.5)
     Female187 (67.9)42 (32.1)229 (31.5)
    Type of stroke0.349
     Ischemic stroke523 (87.8)111 (84.7)634 (87.2)
     Hemorrhagic stroke73 (12.2)20 (15.3)93 (12.8)
    Vascular comorbidities
     Hypertension481 (80.7)123 (93.9)604 (83.1)0.000
     Diabetes393 (65.9)107 (81.7)500 (68.8)0.000
     Dyslipidemia457 (76.7)106 (80.9)563 (77.4)0.293
     History of Ischemic heart disease95 (15.9)39 (29.8)134 (18.4)0.000
     Atrial Fibrillation46 (7.7)18 (13.7)64 (8.8)0.028
     Smoking106 (17.8)21 (16.0)127 (17.5)0.632
     Baseline NIHSS on admission, mean±SD5.33±5.795.69±6.6300.532
    Baseline NIHSS category‡0.060
     Mild stroke ≤5 (Intact neurologically at baseline)385 (65.5)80 (64.5)465 (65.3)
     Moderate stroke 6-14 (Moderate neurological impairment at baseline)141 (24.0)31 (25.0)172 (24.2)
     Severe stroke >14 (Severe neurological impairment at baseline)62 (10.5)13 (10.5)75 (10.5)
    Baseline mRS category†0.010
     No disability to mild disability (mRS 0-2)562 (95.4)112 (89.6)674 (94.4)
     Moderate to severe disability (mRS 3-6)27 (4.6)13 (10.4)40 (5.6)
    • ↵* p-value indicates eGFR> 60 compared with eGFR≤60. T-tests was used to compare means. Chi-square test was used to compare categories,

    • ↵‡ missing in 15 cases, analysis carried out on 712 cases,

    • ↵† missing in 13 cases, analysis carried out on 714 cases, mRS - Modified Rankin Scale, NIHSS - National Institutes of Health Stroke Scale Score, eGFR - glomerular filtration rate, Values are expressed as numbers and percentage n (%),

    • View popup
    Table 2

    Outcome measures amongst eGFR groups.

    OutcomesEstimated GFR (eGFR) levelsp-valueAdjusted OROR, 95% C. I. (Lower – Upper)
    >60 mL/min/1.73 m2 (n=596)≤ 60 mL/min/1.73 m2 (n=131)
    Death17 (2.9)14 (10.7)0.0023.772(1.609 – 8.844)
    Composite outcome147 (24.7)56 (42.7)0.0091.781(1.153 – 2.751)
    In hospital complications
     Pneumonia37 (6.2)8 (6.1)0.7330.866(0.380 – 1.976)
     UTI30 (5.0)17 (13.0)0.0432.047(1.024 – 4.093)
     VTE (DVT/PE)12 (2.0)1 (0.8)0.2240.267(0.032– 2.243)
     Fall15 (2.5)1 (0.8)0.2200.276(0.035 – 2.158)
     Bedsore4 (0.7)5 (3.8)0.0973.466(0.800 – 15.010)
     Recurrence of stroke/ TIA59 (9.9)22 (16.8)0.1801.476(0.835 – 2.609)
     Neurological deterioration38 (6.4)14 (10.7)0.2431.514(0.755 – 3.038)
    mRS disability category post-stroke at discharge
     Mildly disabled (0-2)406 (72.6)71 (61.7)0.010
     Moderately to severely disabled (3-6)153 (27.4)44 (38.3)
     NIHSS value at discharge, mean±SD4.18±7.5677.14±11.8820.011
    NIHSS severity category at discharge
     Mild stroke (≤ 5)448 (80.1)83 (72.2)0.011
     Moderate stroke (6 - 14)63 (11.3)18 (15.7)
     Severe stroke (>14)48 (8.6)14 (12.2)
    • eGFR - estimated glomerular filtration rate, UTI - urinary track infection, VTE - venous thromboembolism, DVT - deep venous thrombosis, PE - pulmonary embolism, TIA - transient ischemic attacks, mRS - modified Rankin Scale, NIHSS - National Institute of Health Stroke Score, Values are expressed as numbers and percentage n (%)

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Renal dysfunction as a predictor of acute stroke outcomes
Danah K. AboAlSamh, Ahmad A. Abulaban, Ismail A. Khatri, Ali M. Al-Khathaami
Neurosciences Journal Oct 2017, 22 (4) 320-324; DOI: 10.17712/nsj.2017.4.20170185

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Renal dysfunction as a predictor of acute stroke outcomes
Danah K. AboAlSamh, Ahmad A. Abulaban, Ismail A. Khatri, Ali M. Al-Khathaami
Neurosciences Journal Oct 2017, 22 (4) 320-324; DOI: 10.17712/nsj.2017.4.20170185
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