scholarly journals Depression Does Not Predict Clinical Outcome of Chinese Peritoneal Dialysis Patients After Adjusting for the Degree of Frailty

2020 ◽  
Author(s):  
Gordon Chun-Kau CHAN ◽  
Jack Kit-Chung NG ◽  
Kai-Ming CHOW ◽  
Bonnie CH Kwan ◽  
Vickie Wai-Ki KWONG ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Peritoneal Dialysis ◽  
Clinical Outcome ◽  
Patient Survival ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Adverse Clinical Outcome ◽  
Duration Of Hospitalization ◽  
One Year ◽  
Frailty Score

Abstract Background Depression and frailty contribute to the adverse clinical outcome of peritoneal dialysis (PD) patients. However, the interaction between depression and frailty in PD patients remains uncertain. We determined the prevalence of depression and frailty in prevalent Chinese PD patients, dissected the internal relationship between depression and frailty, and determined their relative contribution to the adverse clinical outcome in PD patients. Methods In a prospective observational study, we recruited 267 prevalent PD patients. Depression was identified by Patient Health Questionnaire (PHQ-9). Frailty was identified by a validated Frailty Score. All cases were followed for one year. Outcome measures included number and duration of hospitalization, peritonitis rate, and all-cause mortality. Results Of the 267 patients, 197 patients (73.8%) were depressed, and 157 (58.8%) were frail. There was a substantial overlap between depression and frailty. Although depression and frailty were associated the number and duration of hospitalization by univariate analysis, the association became insignificant after adjusting for confounding factors by multivariate analysis. Both depression and frailty were associated with one-year mortality by univariate analysis. One-year patient survival was 95.9%, 86.5%, 82.4% and 71.0% for patients with nil, mild, moderate and severe frailty, respectively (p = 0.001). Frailty was an independent predictor of patient survival by multivariate analysis (adjusted hazard ratio 1.424, 95% confidence interval 1.011-2.005. p = 0.043), while the prognostic effect of depression disappears after adjusting for frailty score. Conclusion Depression and frailty were common among Chinese PD patients. Frailty, but not depression, was an independent predictor of one-year mortality.

scholarly journals Depression Does Not Predict Clinical Outcome of Chinese Peritoneal Dialysis Patients After Adjusting for the Degree of Frailty

2020 ◽  
Author(s):  
Gordon Chun-Kau CHAN ◽  
Jack Kit-Chung NG ◽  
Kai-Ming CHOW ◽  
Bonnie CH Kwan ◽  
Vickie Wai-Ki KWONG ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Peritoneal Dialysis ◽  
Clinical Outcome ◽  
Patient Survival ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Adverse Clinical Outcome ◽  
Duration Of Hospitalization ◽  
One Year ◽  
Frailty Score

Abstract Background Depression and frailty contribute to the adverse clinical outcome of peritoneal dialysis (PD) patients. However, the interaction between depression and frailty in PD patients remains uncertain. We determined the prevalence of depression and frailty in prevalent Chinese PD patients, dissected the internal relationship between depression and frailty, and determined their relative contribution to the adverse clinical outcome in PD patients. Methods In a prospective observational study, we recruited 267 prevalent PD patients. Depression was identified by Patient Health Questionnaire (PHQ-9). Frailty was identified by a validated Frailty Score. All cases were followed for one year. Outcome measures included number and duration of hospitalization, peritonitis rate, and all-cause mortality. Results Of the 267 patients, 197 patients (73.8%) were depressed, and 157 (58.8%) were frail. There was a substantial overlap between depression and frailty. Although depression and frailty were associated the number and duration of hospitalization by univariate analysis, the association became insignificant after adjusting for confounding factors by multivariate analysis. Both depression and frailty were associated with one-year mortality by univariate analysis. One-year patient survival was 95.9%, 86.5%, 82.4% and 71.0% for patients with nil, mild, moderate and severe frailty, respectively (p = 0.001). Frailty was an independent predictor of patient survival by multivariate analysis (adjusted hazard ratio 1.424, 95% confidence interval 1.011-2.005. p = 0.043), while the prognostic effect of depression disappears after adjusting for frailty score. Conclusion Depression and frailty were common among Chinese PD patients. Frailty, but not depression, was an independent predictor of one-year mortality.

Abstract 4455: The Impact of Platelet Count Decline on Clinical Outcome of Patients Undergoing Percutaneous Coronary Intervention

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Axel de Labriolle ◽  
Laurent Bonello ◽  
Gilles Lemesle ◽  
Probal Roy ◽  
Daniel H Steinberg ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Platelet Count ◽  
Clinical Outcome ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Coronary Intervention ◽  
Careful Attention ◽  
Risk Of Death ◽  
Percutaneous Coronary ◽  
The Impact

BACKGROUND: Severe decline in platelet count (DPC) ≥ 50% has been shown to be predictor of outcome after PCI. The prognosis of mild or moderate DPC is unknown. This study aimed to examine the impact of various degrees of DPC on clinical outcome. METHODS: The study included 10,146 consecutive patients who were subjected to PCI. The population was divided in four groups according to the magnitude of the decline in platelet post PCI: no DPC (DPC ≤ 10 %), minor DPC (10 –25 %), mild DPC (26 –50 %) and severe DPC (≥50%). The primary endpoint for this analysis was the composite criteria of death-MI at 30 days. RESULTS: Among the 10,146 patients, 36 % had a DPC ≤10 %, 47.7% had a DPC 10 –25%, 14% had a DPC 26 –50% and 2.3% had a DPC ≥50%. At 30 days, there was a worsening of clinical outcome with the severity of DPC (table 1 ). In univariate analysis, numerous variables were detected associated with the risk of death-MI at 30 days including both mild and severe DPC. After adjustment in multivariate analysis, DPC (25–50 %) and DPC (≥50%) were independently associated with the composite criteria death-MI at 30 days. All independent predictors in multivariate analysis are listed in table 2 . CONCLUSIONS: DPC after PCI is an independent predictor of death-MI at 30 days. The clinical significance of DPC is not limited to major DPC (≥50%) but also seen with moderate DPC (26 –50 %). Careful attention to platelet count is required in patients subjected to PCI who experienced more than 25% decline in their platelet count following the intervention. Relation between Decline in platelet count and Death - MI Independent predictors of death-MI at 30 days

Predictors of mortality in the elderly patient with a fracture of the odontoid process

2019 ◽  
Vol 101-B (3) ◽  
pp. 253-259 ◽  
Author(s):  
R. Shafafy ◽  
E. M. Valsamis ◽  
J. Luck ◽  
R. Dimock ◽  
S. Rampersad ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Hip Fracture ◽  
Head Injury ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Odontoid Process ◽  
The Elderly ◽  
Predictors Of Mortality ◽  
Cervical Orthosis ◽  
One Year

Aims Fracture of the odontoid process (OP) in the elderly is associated with mortality rates similar to those of hip fracture. The aim of this study was to identify variables that predict mortality in patients with a fracture of the OP, and to assess whether established hip fracture scoring systems such as the Nottingham Hip Fracture Score (NHFS) or Sernbo Score might also be used as predictors of mortality in these patients. Patients and Methods We conducted a retrospective review of patients aged 65 and over with an acute fracture of the OP from two hospitals. Data collected included demographics, medical history, residence, mobility status, admission blood tests, abbreviated mental test score, presence of other injuries, and head injury. All patients were treated in a semi-rigid cervical orthosis. Univariate and multivariate analysis were undertaken to identify predictors of mortality at 30 days and one year. A total of 82 patients were identified. There were 32 men and 50 women with a mean age of 83.7 years (67 to 100). Results Overall mortality was 14.6% at 30 days and 34.1% at one year. Univariate analysis revealed head injury and the NHFS to be significant predictors of mortality at 30 days and one year. Multivariate analysis showed that head injury is an independent predictor of mortality at 30 days and at one year. The NHFS was an independent predictor of mortality at one year. The presence of other spinal injuries was an independent predictor at 30 days. Following survival analysis, an NHFS score greater than 5 stratified patients into a significantly higher risk group at both 30 days and one year. Conclusion The NHFS may be used to identify high-risk patients with a fracture of the OP. Head injury increases the risk of mortality in patients with a fracture of the OP. This may help to guide multidisciplinary management and to inform patients. This paper provides evidence to suggest that frailty rather than age alone may be important as a predictor of mortality in elderly patients with a fracture of the odontoid process. Cite this article: Bone Joint J 2019;101-B:253–259.

P1018Evolution of atrioventricular conduction disorders after TAVI

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
D Irles ◽  
F Salerno ◽  
R Cassagneau ◽  
R Eschallier ◽  
C Maupain ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Primary Endpoint ◽  
Univariate Analysis ◽  
P Value ◽  
Conduction Disorders ◽  
Av Conduction ◽  
One Year ◽  
The One ◽  
Valve Implantation

Abstract Background The evolution of atrioventricular block (AVB) after Trans Aortic Valve Implantation (TAVI) is poorly understood, and indications of pacemaker (PM) implantation after TAVI not well defined. Modern PM algorithms can help studying the evolution of these AV conduction disorders after TAVI. SafeR® mode (Sorin® PM) allows to monitor precisely the AV conduction and to store AVB episodes in the PM memory as intracardiac electrograms, which can be re-read and validated afterwards. Methods From November 2015 and January 2017, all patients implanted in one of the 19 French enrolling centers with a Sorin® PM set in SafeR® mode after TAVI could be prospectively included in the study. All the PM interrogation files were centrally collected. The primary endpoint (PE) was the presence of at least one episode of high grade AVB (HG-AVB) beyond day 7 (D7) to one year after the TAVI. It could be validated either by the presence of a HG-AVB on EKG or telemetry, or by the confirmation of a HG-AVB in the PM memory files. Results 273 patients were included in the study, the PE was assessable in 197 patients. PE was validated in 74.6% patients. In univariate analysis, the use of an oversized prothesis or balloon, and all early episodes of HG-AVB (all those occurring up to D7) influence the validation of the PE. Other AV conduction disorders have no influence on the PE (Table). In multivariate analysis, only HG-AVB occurring between D2 and D7 has a significant influence on the PE. Factors influencing HG-AVB after TAVI Studied factor HG-AVB episode(s) during the one year follow up No HG-AVB episode during the one year follow up p value RBBB before TAVI (%) 41 34 0,346 Low implantation (>6mm) (%) 59 37 0,156 Use of Autoexpansive Valve (%) 62 62 0,990 Oversizing (%) 19 6 0,022 HG-AVB per TAVI (%) 56 30 0,001 HG-AVB D0-D1 (%) 53 24 0,001 HG-AVB D2-D7 (%) 68 34 0,001 New or wiser LBBB and improvement of PR interval after TAVI (%) 30 39 0,253 Influence of predefined factors on the Primary Endpoint. Conclusion The analysis of the SafeR® algorithm files in patients implanted with a PM after TAVI show a high incidence of HG-AVB during the one year follow up. In multivariate analysis, only HG-AVB occurring between D2 and D7 significantly influence the PE, confirming that AV conduction disorders occurring during the first 24 hours may spontaneously normalize. Acknowledgement/Funding Microport CRM

Risk stratification of patients with pulmonary embolism based on pulse rate and D-dimer concentration

2009 ◽  
Vol 102 (10) ◽  
pp. 683-687 ◽  
Author(s):  
Esther R. van Bladel ◽  
Roger E. G. Schutgens ◽  
Repke J. Snijder ◽  
Ellen A. M. Tromp ◽  
Martin H. Prins ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Pulmonary Embolism ◽  
Clinical Outcome ◽  
Pulse Rate ◽  
Outpatient Treatment ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Model ◽  
Adverse Clinical Outcome ◽  
Acute Pe ◽  
D Dimer

SummaryTo enable outpatient treatment of a selected group of patients with pulmonary embolism (PE), insight in the determinants of adverse clinical outcome is warranted. We have identified risk factors for serious adverse events (SAE) within the first 10 days of acute PE. We have retrospectively analysed data of 440 consecutive patients with acute PE. Collected data included age, gender, medical history, blood pressure, pulse rate and D-dimer concentration. The variables associated with SAE in the first 10 days in univariate analysis (p<0.15) have been included in a multivariate logistic regression model (backward conditional, p out>0.10). In 440 patients with acute PE, 20 SAEs occurred in a 10-day follow-up period. Pulse rate ≥100 beats per minute (bpm) (OR, 6.85; 95%CI 1.43–32.81) and D-dimer concentration ≥3,000 µg/ml (OR, 5.51; 95%CI 0.68–44.64) were significantly related to the SAEs. All SAEs were predicted by a pulse rate ≥100 bpm and/or a D-dimer concentration ≥3,000 µg/ml. Older age, gender, history of venous thromboembolism (VTE), heart failure, chronic obstructive pulmonary disease, cancer or a systolic blood pressure < 90 mm Hg had no significant influence on short term SAEs. Pulse rate and D-dimer concentration can be used to identify patients with acute PE, who are at risk for adverse clinical outcome during the first 10 days of hospitalisation. Outpatient treatment of PE-patients with a pulse rate ≥100 bpm and/or a D-dimer concentration ≥3,000 µg/ml has to be discouraged.

scholarly journals P0217NEUTROPHIL TO LYMPHOCYTE RATIO AT ADMISSION CAN ESTIMATE VASCULITIS ACTIVITY AND POOR PROGNOSIS IN PATIENTS WITH ANCA-ASSOCIATED VASCULITIS: A RETROSPECTIVE STUDY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Inês Duarte ◽  
José Agapito Fonseca ◽  
Joana Gameiro ◽  
Estela Nogueira ◽  
Cristina Outerelo ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Severe Sepsis ◽  
Inflammatory Marker ◽  
Univariate Analysis ◽  
Severe Infection ◽  
First Year ◽  
Lymphocyte Ratio ◽  
The Mean ◽  
One Year ◽  
Clinical Records

Abstract Background and Aims Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) is a multisystemic disease. Despite the improvement in mortality rate since the introduction of immunosuppression, long-term prognosis is still uncertain not only because of the disease activity but also due to treatment associated adverse effects. The neutrophil-to-lymphocyte ratio (NLR) has been demonstrated as an inflammatory marker in multiple settings. In this study, we aimed to investigate the prognostic ability of the NLR in AAV patients. Method We conducted a retrospective analysis of the clinical records of all adult patients with AVV admitted to the Service of Nephrology and Renal Transplantation of Centro Hospitalar Universitário Lisboa Norte from January 2006 to December 2019. NLR was calculated at admission. The outcomes measured were severe infection at 3 months and one-year mortality. The prognostic ability of the NLR was determined using the receiver operating characteristic (ROC) curve. A cut-off value was defined as that with the highest validity. All variables underwent univariate analysis to determine statistically significant factors that may have outcomes. Only variables which significantly differed were used in the multivariate analysis using the logistic regression method. Results We registered 45 cases of AVV. The mean age at diagnosis was 67.5±12.1 years and 23 patients were male. The mean BVAS at presentation was 26.0±10.4. Twenty-nine patients were ANCA-MPO positive, 7 ANCA-PR3 positive and 9 were considered negative ANCA vasculitis. At admission, mean SCr was 6.7 ± 2.9mg/dL, ESR was 76.9 ± 33.8, hemoglobin was 9.5 ± 1.7g/dL, C-reactive protein was 13.2 ± 5.8mg/dL and NLR was 8.5 ± 6.8. Thirty-five patients were treated with cyclophosphamide, eight patients with rituximab for induction therapy. Twenty patients developed severe infection within the first three months after starting induction immunosuppression. In a multivariate analysis, older age (73.6±10.5 vs 62.6±11.3, p=0.002, adjusted OR 1.08 [95% CI 1.01 – 1.16], p= 0.035) and higher NLR (11.9±7.4 vs 5.9±5.0, p=0.002, adjusted OR 1.14 [95% CI 1.01 – 1.29], p= 0.035) were predictors of severe infection at 3 months. NLR ≥ 4.04 predicted severe infection at 3 months with a sensitivity of 95% and specificity of 52% and the AUROC curve was 0.0794 (95% CI 0.647 – 0.900). Nine patients died within the first year. Severe infection at 3 months was independently associated with mortality within the first year (OR 6.19 [95% CI 1.12 – 34.32], p= 0.037). Conclusion NLR at diagnosis was an independent predictor of severe sepsis within the first 3 months after immunosuppression start, and severe sepsis within the first three months was consequently correlated with one-year mortality. NLR is an easily calculated and low-cost laboratory inflammation biomarker and can prove useful in identifying AAV patients at risk of infection and poorer prognosis.

Analysis of the incidence and factors predictive of inadvertent parathyroidectomy during thyroid surgery

2016 ◽  
Vol 130 (7) ◽  
pp. 669-673 ◽  
Author(s):  
R W A Hone ◽  
T Tikka ◽  
A I Kaleva ◽  
A Hoey ◽  
V Alexander ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Neck Dissection ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Parathyroid Tissue ◽  
Needle Aspiration ◽  
Fourfold Increase ◽  
Factors Associated ◽  
Needle Aspiration Cytology ◽  
Associated Risk Factors

AbstractBackground:Inadvertent (or incidental) parathyroidectomy can occur during thyroidectomy. However, the factors associated with inadvertent parathyroidectomy remain unclear. This study aimed to report the rate of inadvertent parathyroidectomy during thyroidectomy and associated risk factors.Methods:Variables including fine needle aspiration cytology findings, age, sex, thyroid weight, concurrent neck dissection, extent of thyroidectomy, and the presence of cancer and parathyroid tissue within the specimen were recorded for 266 patients. The incidence of post-operative hypocalcaemia was also recorded. Univariate and multivariate analysis were performed to identify factors associated with inadvertent parathyroidectomy.Results:The inadvertent parathyroidectomy rate was 16 per cent. Univariate analysis revealed that cancer and concurrent neck dissection predicted inadvertent parathyroidectomy. On multivariate analysis, only concurrent neck dissection remained an independent predictor of inadvertent parathyroidectomy: it was associated with a fourfold increase in inadvertent parathyroidectomy.Conclusion:The inadvertent parathyroidectomy rate was 16 per cent and concurrent neck dissection was identified as an independent predictor of inadvertent parathyroidectomy.

Charlson Score as prognostic factor in patients with castration-resistant prostate cancer.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 242-242 ◽  
Author(s):  
Gustavo Jankilevich ◽  
Luciana Gennari ◽  
Matias Salazar ◽  
Claudio Graziano ◽  
Eduardo Saravia ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Multivariate Analysis ◽  
Gleason Score ◽  
Cox Regression ◽  
Independent Predictor ◽  
Performance Status ◽  
Univariate Analysis ◽  
Castration Resistant Prostate Cancer ◽  
Castration Resistance

242 Background: Tumor stage, Gleason score, PSA, Performance Status have been identified as important predictors of survival in prostate cancer. The Charlson Comorbidity Index (CCI) is a validated score used to stratify patients according to comorbidities. To evaluate the prognostic role of CCI in patients with CPRC. Methods: A retrospective study based on an analysis of medical records of 212 patients with CRPC treated at Durand Hospital between 2010-2015. The CCI was calculated for each patient and a correlation with overall survival was performed. Statistical analysis included univariate analysis and multivariate analysis (Cox regression). Patients were stratified according CCI ≤ 7.6 or ≥ 7.6. Survival analysis was performed using the Kaplan-Meier curve. Results: We analyzed records of 212 patients with prostate cancer, of which 59 were resistant to castration. Median age 69 years, the PFS with androgen blockade was 32.4 months. Patients with CPRC 54% perform chemotherapy as first-line treatment of castration resistance and 46% performed treatment of hormonal manipulation (Enzalutamide or Abiraterone Acetate). Median overall survival of patients with CCI < 7.6 was 75 months versus 62 months for those with CCI > 7.6 HR: 1.19 (1.03 to 1.36) p: 0.01. In multivariate analysis the ICC was an independent predictor of mortality in these patients HR: 1.23 (1.03 to 1.48) p: 0.02. (Table 1) CCI ≤ 7,6 was predictor to subsequent lines in CPRC setting. Gleason score, PS were independent predictors of survival. Conclusions: Based on our results we can consider the CCI as an independent predictor of survival in CPRC patients. CCI could be an useful tool useful to select patients in clinical trial and community settings. [Table: see text]

Tumor Karyotype Predicts Clinical Outcome in Colorectal Cancer Patients

2004 ◽  
Vol 22 (13) ◽  
pp. 2623-2634 ◽  
Author(s):  
Georgia Bardi ◽  
Claus Fenger ◽  
Bertil Johansson ◽  
Felix Mitelman ◽  
Sverre Heim
Keyword(s):  
Colorectal Cancer ◽  
Chromosome Aberrations ◽  
Structural Changes ◽  
Patient Survival ◽  
Independent Predictor ◽  
Clinical Stage ◽  
Univariate Analysis ◽  
Disease Free Survival ◽  
Tumor Grade ◽  
Chromosome 8

Purpose To investigate the prognostic value of the overall karyotypic features and specific chromosome aberrations in colorectal cancer (CRC). Patients and Methods Cytogenetic features of 150 primary CRCs investigated at the time of surgery were correlated with patient survival by univariate and multivariate analyses, using classical clinicopathologic parameters as covariates. Results In univariate analysis, in addition to tumor grade and clinical stage, structural aberrations as well as rearrangements of chromosomes 8 and 16 were significantly correlated with shorter overall survival. Karyotypic complexity, rearrangements of chromosomes 8 and 16, and loss of chromosome 4 were significantly correlated with shorter disease-free survival. In multivariate analysis, in addition to tumor grade, the type of chromosome aberrations (structural or numerical), ploidy, and loss of chromosome 18 came across as independent prognostic factors in the group of all patients. In the subset of patients with stage I and II carcinomas, none of the clinicopathologic variables could independently predict patient survival, whereas the presence of structural chromosomal aberrations was the only independent predictor of poor prognosis. In the subset of patients with stage III carcinomas, the presence of structural changes of chromosome 8 was a stronger independent predictor of prognosis than was tumor grade. Conclusion Cytogenetic tumor features are valuable predictors of prognosis in CRC patients. The tumor karyotype should therefore be taken into account in the clinical management of patients with this disease, especially for patients having cancers of the early or intermediate stages I, II, and III.

EARLY PREDICTION OF ACUTE ISCHEMIC STROKE OUTCOME BY USING ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS)

2014 ◽  
pp. 168-176
Author(s):  
Vu Xuan Loc Doan ◽  
Thanh Thao Nguyen ◽  
Minh Loi Hoang ◽  
Trong Hao Vo
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
Independent Predictor ◽  
Univariate Analysis ◽  
Early Prediction ◽  
Stroke Outcome ◽  
Good Outcome ◽  
Poor Outcome

Background and Purpose: The Alberta Stroke Program Early CT Score (ASPECTS) scale semiquantitatively assesses extent and location of ischemic changes within the middle cerebral artery (MCA) territory using a 10-point grading system. ASPECTS measured at baseline using noncontrast computed tomography (CT) scan. The aim of this study was to assess early prediction of clinical outcome after acute ischemic stroke by ASPECTS scale. Methods: The study based on convenience sample which included 82 first-ever acute ischemic stroke patients, admitted to Hue Central Hospital within 72 hours of stroke onset, from October 2013 to October 2014. Ischemic territory changes were defined as parenchymal CT hypoattenuation. We assessed all baseline CT scans, dichotomized ASPECTS at ≤ 7 and >7, defined good outcome (0 to 2) and poor outcome (3 to 6) as modified Rankin Scale (mRS) score at discharge. Univariate analysis and multivariable logistic regression analysis were performed to define the independent predictors for stroke outcome. Results: Mean age was 68.35 ± 13.93 years, proportion of male (51.2%) and female (48.8%) are approximately the same. ASPECTS score > 7 in 57 patients and ≤ 7 in 25 patients. Mean ASPECTS was 7.51 ± 2.25. Mean mRS at discharge was 2.28 ± 1.33. Good outcome (mRS ≤ 2) and poor outcome (mRS > 2) at discharge were 63.4% and 36.6% respectively. There is a negative correlation between ASPECTS and mRS (r = -0.86, p < 0.001). In the univariate analysis, atrial fibrillation, Glasgow Coma Scale (GCS) score at admisison, ASPECT score and infarct volume were significantly associated with stroke outcome. All of aforementioned variables underwent multivariate analysis, but none of them was proven to be an independent predictor of early outcome. Conclusion: In patients with first-ever acute ischemic stroke, ASPECT score which bases on conventional computed tomography scan is not independent predictor for clinical outcome at discharge. Key words: ischemic stroke, ASPECTS, outcome

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