scholarly journals Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study

2020 ◽  
Author(s):  
Jiwei Jiang ◽  
Jirui Wang ◽  
Meihui Cao ◽  
Jinming Zhao ◽  
Xiuli Shang
Keyword(s):  
Ischemic Stroke ◽  
Retrospective Study ◽  
Clinical Laboratory ◽  
Characteristic Curve ◽  
Elevated Serum ◽  
Area Under The Curve ◽  
Clinical Score ◽  
History Of ◽  
D Dimer ◽  
Active Cancer

Abstract Background: We aimed to examine the differences between the clinical characteristics of patients with ischemic stroke and active cancer and those without cancer and develop a clinical score for predicting occult cancer in patients with ischemic stroke.Methods: This retrospective study enrolled consecutive adult patients with acute ischemic stroke, who were admitted to our department between December 2017 and January 2019. The demographic, clinical, laboratory, and neuroimaging characteristics of patients with ischemic stroke with active cancer and those without cancer were compared. Multivariate analysis was performed to identify independent factors associated with active cancer. Subsequently, a predictive cancer-risk score was developed using the area under the receiver operating characteristic curve.Results: Fifty-three (6.63%) of 799 patients with ischemic stroke had active cancer. The absence of a history of hyperlipidemia [odds ratio (OR)=0.17, 95% confidence interval (CI): 0.06–0.48, P<0.01], elevated serum fibrinogen (OR=1.72, 95% CI: 1.33–2.22, P<0.01) and D-dimer levels (OR=1.43, 95% CI: 1.24–1.64, P<0.01), and stroke of undetermined etiology (OR=22.87, 95% CI: 9.91–52.78, P<0.01) were independently associated with active cancer. Thus, a score based on the absence of hyperlipidemia and serum fibrinogen ≥4.00 g/L and D-dimer ≥2.00 μg/mL predicted active cancer with an area under the curve of 0.83 (95% CI: 0.77–0.89, P<0.01). The probability of active cancer was 59% at a supposed prevalence of 6.63%, if all three independent factors were present in a patient with ischemic stroke.Conclusions: We devised a score to predict active cancer in patients with ischemic stroke based on the absence of a history of hyperlipidemia and elevated serum D-dimer and fibrinogen that highlights the importance of hypercoagulability in these patients and may help determine early intervention and management.

scholarly journals Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jiwei Jiang ◽  
Xiuli Shang ◽  
Jinming Zhao ◽  
Meihui Cao ◽  
Jirui Wang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Retrospective Study ◽  
Clinical Laboratory ◽  
Elevated Serum ◽  
Clinical Score ◽  
Predictive Score ◽  
Bayesian Decision ◽  
History Of ◽  
D Dimer ◽  
Active Cancer

Background. We aimed to examine the differences of clinical characteristics between patients with ischemic stroke with active cancer and those without cancer to develop a clinical score for predicting the presence of occult cancer in patients with ischemic stroke. Methods. This retrospective study enrolled consecutive adult patients with acute ischemic stroke who were admitted to our department between December 2017 and January 2019. The demographic, clinical, laboratory, and neuroimaging characteristics were compared between patients with ischemic stroke with active cancer and those without cancer. Multivariate analysis was performed to identify independent factors associated with active cancer. Subsequently, a predictive score was developed using the areas under the receiver operating characteristic curves based on these independent factors. Finally, Bayesian decision theory was applied to calculate the posterior probability of active cancer for finding the best scoring system. Results. Fifty-three (6.63%) of 799 patients with ischemic stroke had active cancer. The absence of a history of hyperlipidemia (odds ratio OR = 0.17 , 95% confidence interval (CI): 0.06–0.48, P < 0.01 ), elevated serum fibrinogen ( OR = 1.72 , 95% CI: 1.33–2.22, P < 0.01 ) and D-dimer levels ( OR = 1.43 , 95% CI: 1.24–1.64, P <0.01), and stroke of undetermined etiology ( OR = 22.87 , 95% CI: 9.91–52.78, P < 0.01 ) were independently associated with active cancer. A clinical score based on the absence of hyperlipidemia, serum fibrinogen level of ≥4.00 g/L, and D-dimer level of ≥2.00 μg/mL predicted active cancer with an area under the curve of 0.83 (95% CI: 0.77–0.89, P < 0.01 ). The probability of active cancer was 59% at a supposed prevalence of 6.63%, if all three independent factors were present in a patient with ischemic stroke. Conclusions. We devised a clinical score to predict active cancer in patients with ischemic stroke based on the absence of a history of hyperlipidemia and elevated serum D-dimer and fibrinogen levels. The use of this score may allow for early intervention. Further research is needed to confirm the implementation of this score in clinical settings.

Profiling of the Risk Factors and Designing of a Model to Identify Ischemic Stroke in Patients with Non-Hodgkin Lymphoma: A Multicenter Retrospective Study

2020 ◽  
Vol 83 (1) ◽  
pp. 41-48
Author(s):  
Yunfei Wei ◽  
Qingqing Yang ◽  
Qixiong Qin ◽  
Ya Chen ◽  
Xuemei Quan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Retrospective Study ◽  
Hodgkin Lymphoma ◽  
Multiple Logistic Regression Analysis ◽  
Elevated Serum ◽  
Non Hodgkin Lymphoma ◽  
Independent Risk Factors ◽  
Identification Model ◽  
D Dimer

Background: The occurrence of ischemic stroke in patients with non-Hodgkin lymphoma (NHL) is not well understood. This study aimed to determine independent risk factors to identity ischemic stroke in non-Hodgkin lymphoma-associated ischemic stroke (NHLAIS) patients. Methods: This retrospective study was conducted on NHLAIS patients and age- and gender-matched NHL patients. We collected clinical data of patients in both groups and used multiple logistic regression analysis to identify independent risk factors for NHLAIS. A receiver operating characteristic (ROC) analysis was used to establish an identification model based on potential risk factors of NHLAIS. Results: Sixty-three NHLAIS patients and 63 NHL patients were enrolled. Stage III/IV (58/63, 92.1%) and multiple arterial infarcts (44/63, 69.8%) were common among NHLAIS patients. Notably, NHLAIS patients had higher levels of serum fibrinogen (FIB), D-dimer, and ferritin (SF) and prolonged thromboplastin time and prothrombin time (PT) compared with NHL patients (all p < 0.05). Elevated FIB, D-dimer, and SF and prolonged PT were independent risk factors for NHLAIS. The area under the ROC curve of the identification model of NHLAIS patients was largest compared to that of other risk factors (0.838, 95% confidence interval: 0.759–0.899) (p < 0.05). Conclusion: This study reveals that elevated serum FIB, D-dimer, and SF and prolonged PT are potential independent risk factors of NHLAIS. The identification model established in this study may help monitor NHL patients who are at high risk of developing NHLAIS.

scholarly journals When to Screen Ischaemic Stroke Patients for Cancer

2018 ◽  
Vol 45 (1-2) ◽  
pp. 42-47 ◽  
Author(s):  
Henriette Aurora Selvik ◽  
Anna Therese Bjerkreim ◽  
Lars Thomassen ◽  
Ulrike Waje-Andreassen ◽  
Halvor Naess ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Roc Curves ◽  
Clinical Score ◽  
Clinical Findings ◽  
University Hospital ◽  
Predictive Score ◽  
Stroke Patients ◽  
Stroke Treatment ◽  
D Dimer ◽  
Active Cancer

Background and Purpose: Ischemic stroke can be the first manifestation of cancer and it is therefore important to ascertain which stroke patients should be considered for cancer-diagnostic investigations. We aimed to determine the frequency of active cancer in patients with acute ischemic stroke and to compare clinical findings in stroke patients with active cancer to ischemic stroke patients with no history of cancer. Finally, we aimed to develop a predictive and feasible score for clinical use to uncover underlying malignancy. Methods: All ischemic stroke patients admitted to the stroke unit in the Department of Neurology, Haukeland University Hospital were consecutively included in the Norwegian Stroke Research Registry (NORSTROKE). Stroke etiology was determined by the Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria. Data on cancer diagnoses was obtained from patients’ medical records and the Cancer Registry of Norway. Active cancer was defined as cancer diagnosis, metastasis of known cancer, recurrent cancer or receiving cancer treatment, all within 12 months before or after the index stroke. Based on variables independently associated with active cancer, a predictive score was developed using the area under the receiver operating characteristic (AUC-ROC) curves. Bayes’ theorem was used to calculate post-test probabilities of active cancer. Results: Of the 1,646 ischemic stroke patients included, 82 (5.0%) had active cancer. Increased D-dimer (OR = 1.1, 95% CI: 1.1–1.2, p = <0.001), lower Hb (OR = 0.6, 95% CI: 0.5–0.7, p = <0.001), smoking (OR = 2.2, 95% CI: 1.2–4.3, p = 0.02) and suffering a stroke of undetermined etiology (OR = 1.9, 95% CI: 1.1–3.3, p = 0.03) were factors independently associated with active cancer. These were included in the final predictive score which gave an AUC of 0.73 (95% CI: 0.65–0.81) in patients younger than 75 years of age. Assuming the prevalence of cancer to be 5%, the score shows that if a patient fulfills all 3 score points, the probability of active cancer is 53%. Conclusions: Active cancer was found in 5% of our ischemic stroke patients. We found that a clinical score comprising elevated D-dimer ≥3 mg/L, lower Hb ≤12.0 g/dL and previous or current smoking is feasible for predicting active cancer in ischemic stroke patients.

scholarly journals D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256744
Author(s):  
Ayusha Poudel ◽  
Yashasa Poudel ◽  
Anurag Adhikari ◽  
Barun Babu Aryal ◽  
Debika Dangol ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Respiratory Illness ◽  
Immunofluorescence Assay ◽  
Cox Proportional Hazards ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Potential Biomarker ◽  
D Dimer

Introduction Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. Methods Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. Results 182 patients were included in the study out of which 34(18.7%) died during the hospital stay. The mean admission D-dimer among surviving patients was 1.067 μg/ml (±1.705 μg/ml), whereas that among patients who died was 3.208 μg/ml (±2.613 μg/ml). ROC curve for D-dimer and mortality gave an area under the curve of 0.807 (95% CI 0.728–0.886, p<0.001). Optimal cutoff value for D-dimer was 1.5 μg/ml (sensitivity 70.6%, specificity 78.4%). On Cox proportional hazards regression analysis, the unadjusted hazard ratio for high D-dimer was 6.809 (95% CI 3.249–14.268, p<0.001), and 5.862 (95% CI 2.751–12.489, p<0.001) when adjusted for age. Conclusion D-dimer value on admission is an accurate biomarker for predicting mortality in patients with COVID-19. 1.5 μg/ml is the optimal cutoff value of admission D-dimer for predicting mortality in COVID-19 patients.

scholarly journals The Optimal Cutoff Value of D-dimer Levels to Predict in Hospital Mortality in Severe Cases of Coronavirus Disease 2019

2021 ◽  
Vol 9 (B) ◽  
pp. 1561-1564
Author(s):  
Ngakan Ketut Wira Suastika ◽  
Ketut Suega
Keyword(s):  
Hospital Mortality ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Operating Characteristic Curve ◽  
D Dimer

Introduction: Coronavirus disease 2019 (Covid-19) can cause coagulation parameters abnormalities such as an increase of D-dimer levels especially in severe cases. The purpose of this study is to determine the differences of D-dimer levels in severe cases of Covid-19 who survived and non-survived and determine the optimal cut-off value of D-dimer levels to predict in-hospital mortality. Method: Data were obtained from confirmed Covid-19 patients who were treated from June to September 2020. The Mann-Whitney U test was used to determine differences of D-dimer levels in surviving and non-surviving patients. The optimal cut-off value and area under the curve (AUC) of the D-dimer level in predicting mortality were obtained by the receiver operating characteristic curve (ROC) method. Results: A total of 80 patients were recruited in this study. Levels of D-dimer were significantly higher in non-surviving patients (median 3.346 mg/ml; minimum – maximum: 0.939 – 50.000 mg/ml) compared to surviving patients (median 1.201 mg/ml; minimum – maximum: 0.302 – 29.425 mg/ml), p = 0.012. D-dimer levels higher than 1.500 mg/ml are the optimal cut-off value for predicting mortality in severe cases of Covid-19 with a sensitivity of 80.0%; specificity of 64.3%; and area under the curve of 0.754 (95% CI 0.586 - 0.921; p = 0.010). Conclusions: D-dimer levels can be used as a predictor of mortality in severe cases of Covid-19.

Cancer-Associated Hypercoagulation Increases the Risk of Early Recurrent Stroke in Patients with Active Cancer

2018 ◽  
Vol 46 (1-2) ◽  
pp. 46-51 ◽  
Author(s):  
Jun Fujinami ◽  
Tomoyuki Ohara ◽  
Fukiko Kitani-Morii ◽  
Yasuhiro Tomii ◽  
Naoki Makita ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Recurrent Stroke ◽  
Stroke Recurrence ◽  
Multivariable Logistic Regression Analysis ◽  
Stroke Patients ◽  
Recurrent Cancer ◽  
Systemic Metastasis ◽  
D Dimer ◽  
Active Cancer

Background: This study assessed the incidence and predictors of short-term stroke recurrence in ischemic stroke patients with active cancer, and elucidated whether cancer-associated hypercoagulation is related to early recurrent stroke. Methods: We retrospectively enrolled acute ischemic stroke patients with active cancer admitted to our hospital between 2006 and 2017. Active cancer was defined as diagnosis or treatment for any cancer within 12 months before stroke onset, known recurrent cancer or metastatic disease. The primary clinical outcome was recurrent ischemic stroke within 30 days. Results: One hundred ten acute ischemic stroke patients with active cancer (73 men, age 71.3 ± 10.1 years) were enrolled. Of those, recurrent stroke occurred in 12 patients (11%). When patients with and without recurrent stroke were compared, it was found that those with recurrent stroke had a higher incidence of pancreatic cancer (33 vs. 10%), systemic metastasis (75 vs. 39%), multiple vascular territory infarctions (MVTI; 83 vs. 40%), and higher ­D-dimer levels (16.9 vs. 2.9 µg/mL). Multivariable logistic regression analysis showed that each factor mentioned above was not significantly associated with stroke recurrence independently, but high D-dimer (hDD) levels (≥10.4 µg/mL) and MVTI together were significantly associated with stroke recurrence (OR 6.20, 95% CI 1.42–30.7, p = 0.015). Conclusions: Ischemic stroke patients with active cancer faced a high risk of early recurrent stroke. The concurrence of hDD levels (≥10.4 µg/mL) and MVTI was an independent predictor of early recurrent stroke in active cancer patients. Our findings suggest that cancer-associated hypercoagulation increases the early recurrent stroke risk.

Abstract TP315: D-dimer is Associated With 30-day Mortality in Acute Ischemic Stroke With Active Cancer

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Ki Woong Nam ◽  
Chi Kyung Kim ◽  
Tae Jung Kim ◽  
Sang Joon An ◽  
Kyungmi Oh ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Infarct Volume ◽  
Hemorrhagic Transformation ◽  
Stroke Patients ◽  
Nihss Score ◽  
Patients With Cancer ◽  
Advanced Stages ◽  
D Dimer ◽  
Active Cancer

Background: Stroke in cancer patients is not rare, but is a devastating event with high mortality. However, the predictors of mortality in stroke patients with cancer have not been well addressed. D-dimer could be a useful predictor because it can reflect both thromboembolic events and advanced stages of cancer. In this study, we evaluate the possibility of D-dimer as a predictor of 30-day mortality in stroke patients with active cancer. Methods: We included 210 ischemic stroke patients with active cancer. The data of 30-day mortality were collected by reviewing medical records. We also collected follow-up D-dimer levels in 106 (50%) participants to evaluate the effects of treatment response on D-dimer levels. Results: Of the 210 participants, 30-day mortality occurred in 28 (13%) patients. Higher initial NIHSS score, D-dimer levels, CRP levels, frequent cryptogenic mechanism, systemic metastasis, multiple vascular territory lesion, hemorrhagic transformation, and larger infarct volume were related to 30-day mortality. In the multivariate analysis, D-dimer [adjusted OR (aOR) = 2.19; 95% CI, 1.46-3.28, P < 0.001] predicted 30-day mortality after adjusting for confounders. Initial NIHSS score (aOR = 1.07; 95% CI, 1.00-1.14, P = 0.043) and hemorrhagic transformation (aOR = 3.02; 95% CI, 1.10-8.29, P = 0.032) were also significant independently from D-dimer levels. In the analysis of D-dimer changes after treatment, the mortality group showed no significant decrease of D-dimer levels, despite treatment, while the survivor group showed opposite responses. Conclusions: D-dimer levels may predict 30-day mortality in acute ischemic stroke patients with active cancer.

Histopathological analysis of retrieved thrombi from patients with acute ischemic stroke with malignant tumors

2021 ◽  
pp. neurintsurg-2020-017195
Author(s):  
Yuko Kataoka ◽  
Kazutaka Sonoda ◽  
Jun C Takahashi ◽  
Hatsue Ishibashi-Ueda ◽  
Kazunori Toyoda ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Malignant Tumors ◽  
Characteristic Curve ◽  
Cerebral Arteries ◽  
Treatment Strategies ◽  
Area Under The Curve ◽  
Histopathological Analysis ◽  
Thrombotic Risk ◽  
Patients With Cancer ◽  
Auc Value

BackgroundThe procoagulant state in cancer increases the thrombotic risk, and underlying cancer could affect treatment strategies and outcomes in patients with ischemic stroke. However, the histopathological characteristics of retrieved thrombi in patients with cancer have not been well studied. This study aimed to assess the histopathological difference between thrombi in patients with and without cancer.MethodsWe studied consecutive patients with acute major cerebral artery occlusion who were treated with endovascular therapy between October 2010 and December 2016 in our single-center registry. The retrieved thrombi were histopathologically investigated with hematoxylin and eosin and Masson’s trichrome staining. The organization and proportions of erythrocyte and fibrin/platelet components were studied using a lattice composed of 10×10 squares.ResultsOf the 180 patients studied, 17 (8 women, age 76.5±11.5 years) had cancer and 163 (69 women, age 74.1±11.2 years) did not. Those with cancer had a higher proportion of fibrin/platelets (56.6±27.4% vs 40.1±23.9%, p=0.008), a smaller proportion of erythrocytes (42.1±28.3% vs 57.5±25.1%, p=0.019), and higher serum D-dimer levels (5.9±8.2 vs 2.4±4.3 mg/dL, p=0.005) compared with the non-cancer cases. Receiver operating characteristic curve analysis showed the cut-off ratio of fibrin/platelet components related to cancer was 55.7% with a sensitivity of 74.8%, specificity 58.8% and area under the curve (AUC) value of 0.67 (95% CI 0.53 to 0.81), and the cut-off ratio of erythrocyte components was 44.7% with a sensitivity of 71.2%, specificity 58.9% and AUC value of 0.66 (95% CI 0.51 to 0.80).ConclusionsThromboemboli of major cerebral arteries in patients with cancer were mainly composed of fibrin/platelet-rich components.

Elevated serum sortilin is related to carotid plaque concomitant with calcification

2020 ◽  
Vol 14 (5) ◽  
pp. 381-389
Author(s):  
Shanshan Huang ◽  
Xingxing Yu ◽  
Haiqing Wang ◽  
Jianlei Zheng
Keyword(s):  
Ischemic Stroke ◽  
Carotid Plaque ◽  
Elevated Serum ◽  
Area Under The Curve ◽  
Plaque Burden ◽  
Multivariable Logistic Regression Analysis ◽  
Characteristic Analysis ◽  
Plaque Score ◽  
Carotid Calcification

Aim: To explore whether elevated serum sortilin was associated with calcified carotid plaque and ischemic stroke. Methods: A total of 171 patients with cardiovascular risk factors were enrolled. Ultrasonography was performed to evaluate calcified plaques and noncalcified plaques. Serum sortilin concentration was measured by ELISA. Results: Serum sortilin level was higher in patients with calcified carotid plaque and positively related to carotid plaque burden, but not with ischemic stroke during the follow-up. Multivariable logistic regression analysis revealed serum sortilin level was an independent determinant for calcified carotid plaque (p = 0.001). Receiving operating characteristic analysis showed an area under the curve of sortilin for carotid calcification was 0.759. Conclusion: Higher serum sortilin level was associated with carotid calcification and severe carotid plaque score.

scholarly journals Active Cancer and Elevated D-Dimer Are Risk Factors for In-Hospital Ischemic Stroke

2019 ◽  
Vol 9 (3) ◽  
pp. 129-138 ◽  
Author(s):  
Izumi Yamaguchi ◽  
Yasuhisa Kanematsu ◽  
Kenji Shimada ◽  
Masaaki Korai ◽  
Takeshi Miyamoto ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Plasma Levels ◽  
Functional Dependence ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Onset ◽  
Stroke Severity ◽  
Significant Difference ◽  
Poor Outcomes ◽  
D Dimer ◽  
Active Cancer

Background and Purpose: Little attention has been paid to the pathogenesis of in-hospital stroke, despite poor outcomes and a longer time from stroke onset to treatment. We studied the pathophysiology and biomarkers for detecting patients who progress to in-hospital ischemic stroke (IHS). Methods: Seventy-nine patients with IHS were sequentially recruited in the period 2011–2017. Their characteristics, care, and outcomes were compared with 933 patients who had an out-of-hospital ischemic stroke (OHS) using a prospectively collected database of the Tokushima University Stroke Registry. Results: Active cancer and coronary artery disease were more prevalent in patients with IHS than in those with OHS (53.2 and 27.8% vs. 2.0 and 10.9%, respectively; p < 0.001), the median onset-to-evaluation time was longer (300 vs. 240 min; p = 0.015), and the undetermined etiology was significantly higher (36.7 vs. 2.4%; p < 0.001). Although there was no significant difference in stroke severity at onset between the groups, patients with IHS had higher modified Rankin Scale (mRS) scores (3–6) at discharge (67.1 vs. 50.3%; p = 0.004) and rates of death during hospitalization (16.5 vs. 2.9%; p < 0.001). D-dimer (5.8 vs. 0.8 µg/mL; p < 0.001) and fibrinogen (532 vs. 430 mg/dL; p = 0.014) plasma levels at the time of onset were significantly higher in patients with IHS after propensity score matching. Multivariate logistic regression analysis revealed that active cancer (odds ratio [OR] 2.30; 95% confidence interval [CI] 1.26–4.20), prestroke mRS scores 3–5 (OR 6.78; 95% CI 3.96–11.61), female sex (OR 1.57; 95% CI 1.19–2.08), and age ≥75 years (OR 2.36; 95% CI 1.80–3.08) were associated with poor outcomes. Conclusions: Patients with IHS had poorer outcomes than those with OHS because of a higher prevalence of active cancer and functional dependence before stroke onset. Elevated plasma levels of D-dimer and fibrinogen, especially with active cancer, can help identify patients who are at a higher risk of progression to IHS.

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