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OBJECTIVES: Subarachnoid hemorrhage (SAH) from spontaneous rupture of an aneurysm is a debilitating condition with high morbidity and mortality. Patients with SAH remain understudied, particularly concerning the evaluation of incidence and consequences of subsequent acute kidney injury (AKI). In this study, we aim to explore the risk factors and outcomes of AKI in patients with SAH. MATERIALS AND METHODS: International Classification of Diseases, 9th Edition and 10th Edition (ICD-10-CM) codes were used to query the National Inpatient Sample (NIS) for patients with a diagnosis of SAH between 2010-2019. Subgroup analysis was stratified by AKI diagnosis during the same hospitalization. AKI and non-AKI groups were assessed for baseline clinical characteristics, interventions, complications, and outcomes. Descriptive statistics, multivariate regressions, and propensity score-matching were performed using IBM SPSS 28. NEED TO MENTION NIH-SSS RESULTS: Of 76,553 patients diagnosed with nontraumatic SAH between 2010-2019, 10,634 (13.89%) had a comorbid diagnosis of AKI. Patients with AKI were older (p<0.01) and more often obese (p < 0.01), compared to the non-AKI group. A multivariate regression found the diagnosis of AKI to be independently correlated with poor functional outcome (p<0.001), above average length of stay (p < 0.001), and in-hospital mortality (p < 0.001) when controlling for age, SAH severity, and other comorbidities. CONCLUSIONS: This study showed significant association between AKI and adverse outcomes in SAH patients, and a correlation between AKI and heightened complication rates, poor functional outcome, extended hospital stays, and elevated mortality rates. Early detection of AKI in SAH patients is vital to enhance their chances of recovery.
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INTRODUCTION: Renal cell carcinoma (RCC) has been associated with an increased risk for acute ischemic stroke (AIS). As individuals with cancer who experience AIS tend to face higher mortality rates compared to AIS patients without cancer, recognizing the implications of RCC in AIS is crucial for identifying high-risk patients for major complications and directing management strategies. OBJECTIVE: To examine risk factors, interventions, and outcomes for patients with AIS stratified by their RCC diagnosis. METHODS: The National Inpatient Sample (NIS) database was queried for the period 2010-2019 using International Classification of Disease 10th Edition (ICD-10) codes for acute ischemic stroke and renal malignancies. We assessed demographic information, comorbidities, and clinical interventions between patients presenting with AIS, with and without renal malignancies. A logistic regression model was employed to further examine mortality outcomes. RESULTS: Among 1,609,817 patients identified with AIS, 2,068 (0.12%) had a concomitant diagnosis of RCC. AIS patients with RCC were older (72.09 yrs. vs. 70.9 yrs., p < 0.01), more often white (72.05% vs. 68.16%, p < 0.01), and had similar stroke severity scores. RCC patients received less tissue plasminogen activator (tPA; 4.98% vs. 6.2%, p = 0.02) but underwent endovascular mechanical thrombectomy (MT) at similar rates. RCC patients had more complications (p < 0.01) as well as longer hospital stays (8.19 days vs. 5.98 days, p < 0.01), and higher rates of mortality (11.27% vs. 5.63%, p < 0.01), when compared to their non-RCC counterparts. Propensity score-adjusted analysis largely confirmed these findings, with RCC being positively associated with in-hospital mortality (OR: 1.373, p < 0.01) and longer stays (OR: 2.591, p < 0.01). CONCLUSION: In addition to describing the demographics and clinical course of AIS patients diagnosed with RCC, our study underscores the substantial impact of RCC on AIS outcomes. Despite experiencing strokes of similar severity, AIS patients diagnosed with RCC are at a heightened risk of complications, including thromboembolic events and infections, leading to elevated in-hospital mortality rates and prolonged hospital stays.
