lncRNA H19 Aggravates Brain Injury in Rats following Experimental Intracerebral Hemorrhage via NF-κB Pathway

Objective. To explore the effect of long noncoding RNA H19 (lncRNA H19) on brain injury in rats following experimental intracerebral hemorrhage (ICH). Methods. Rat ICH model was established with type IV collagenase. The neurological function scores were evaluated, and the water content in brain tissue was measured. The nerve injury indexes, inflammatory factors, and oxidative stress indexes were also measured. Moreover, the expression of lncRNA H19 was determined by qRT-PCR, and Western blot detected NF-κB pathway-related protein expression. Results. Compared with the sham group, the neurological function scores, the water content in brain tissue, and levels of injury indicators myelin basic protein (MBP), S-100B, and neuron-specific enolase (NSE) in the ICH rats were significantly increased. Meanwhile, the levels of TNF-α, IL-6, IL-1β, ROS, and MDA were significantly increased, but the levels of SOD were significantly decreased. In addition, the expression of lncRNA H19 in the brain tissue in the ICH group was significantly higher than that in the sham group. After further interference with lncRNA H19 expression (sh-H19 group), the levels of all the above indicators were reversed and the neurological damage was improved. Western blot results showed that the expression of NF-κBp65 and IKKβ was significantly higher, and IκBα expression was lower in the perivascular hematoma tissue in the ICH group compared with the sham group. Compared with the sh-NC group, NF-κBp65 and IKKβ expression were significantly lower and IκBα was significantly higher in the sh-H19 group. Conclusion. lncRNA H19 exacerbated brain injury in rats with ICH by promoting neurological impairment, brain edema, and releasing inflammatory responses and oxidative stress. This may be related to the activation of NF-κB signaling pathway.

Volumetric accuracy of different imaging modalities in acute intracerebral hemorrhage

Background Follow-up imaging in intracerebral hemorrhage is not standardized and radiologists rely on different imaging modalities to determine hematoma growth. This study assesses the volumetric accuracy of different imaging modalities (MRI, CT angiography, postcontrast CT) to measure hematoma size. Methods 28 patients with acute spontaneous intracerebral hemorrhage referred to a tertiary stroke center were retrospectively included between 2018 and 2019. Inclusion criteria were (1) spontaneous intracerebral hemorrhage (supra- or infratentorial), (2) noncontrast CT imaging performed on admission, (3) follow-up imaging (CT angiography, postcontrast CT, MRI), and (4) absence of hematoma expansion confirmed by a third cranial image within 6 days. Two independent raters manually measured hematoma volume by drawing a region of interest on axial slices of admission noncontrast CT scans as well as on follow-up imaging (CT angiography, postcontrast CT, MRI) using a semi-automated segmentation tool (Visage image viewer; version 7.1.10). Results were compared using Bland–Altman plots. Results Mean admission hematoma volume was 18.79 ± 19.86 cc. All interrater and intrarater intraclass correlation coefficients were excellent (1; IQR 0.98–1.00). In comparison to hematoma volume on admission noncontrast CT volumetric measurements were most accurate in patients who received postcontrast CT (bias of − 2.47%, SD 4.67: n = 10), while CT angiography often underestimated hemorrhage volumes (bias of 31.91%, SD 45.54; n = 20). In MRI sequences intracerebral hemorrhage volumes were overestimated in T2* (bias of − 64.37%, SD 21.65; n = 10). FLAIR (bias of 6.05%, SD 35.45; n = 13) and DWI (bias of-14.6%, SD 31.93; n = 12) over- and underestimated hemorrhagic volumes. Conclusions Volumetric measurements were most accurate in postcontrast CT while CT angiography and MRI sequences often substantially over- or underestimated hemorrhage volumes.

Intracerebral hemorrhage during the pandemic- Learning from experience

Worldwide stroke care was affected by COVID 19 pandemic and the majority of the literature was on ischemic stroke. Intracerebral hemorrhage (ICH) accounts for about one-fourth of strokes worldwide and has got high mortality and morbidity. We aimed to study the effect of the Pandemic on ICH outcomes and flow metrics during the first wave compared to the pre-pandemic period and how that experience was made used in managing ICH during the second wave. Ours was a single-center observational study, where consecutive patients with non-COVID spontaneous ICH aged more than 18 years who presented within 24 hours of last seen normal were included in the study. We selected the months of June, July, and August in 2021 as the second wave of the pandemic, the same months in 2020 as the first wave of the pandemic, and the same months in 2019 as the pre-pandemic period. We compared the 3-month functional outcomes, in hospital mortality and workflow metrics during the three time periods. We found poor three-month functional outcomes and higher hospital mortality during the first wave of the COVID 19 pandemic, which improved during the second wave. In-hospital time metrics measured by the door to CT time which was delayed during the first wave improved to a level better than the pre-pandemic period during the second wave. ICH volume was more during the first and second waves compared to the pre-pandemic period. Other observations of our study were younger age during the second wave and higher baseline systolic BP at admission during both pandemic waves. Our study showed that functional outcomes and flow metrics in ICH care improved during the second wave of the pandemic through crucial re-organization of hospital stroke workflows. We are sharing this experience because we may have to do further rearrangements in future as the upcoming times are challenging due to new variants emerging.

Machine Learning-Based Approaches for Prediction of Patients’ Functional Outcome and Mortality after Spontaneous Intracerebral Hemorrhage

Spontaneous intracerebral hemorrhage (SICH) has been common in China with high morbidity and mortality rates. This study aims to develop a machine learning (ML)-based predictive model for the 90-day evaluation after SICH. We retrospectively reviewed 751 patients with SICH diagnosis and analyzed clinical, radiographic, and laboratory data. A modified Rankin scale (mRS) of 0–2 was defined as a favorable functional outcome, while an mRS of 3–6 was defined as an unfavorable functional outcome. We evaluated 90-day functional outcome and mortality to develop six ML-based predictive models and compared their efficacy with a traditional risk stratification scale, the intracerebral hemorrhage (ICH) score. The predictive performance was evaluated by the areas under the receiver operating characteristic curves (AUC). A total of 553 patients (73.6%) reached the functional outcome at the 3rd month, with the 90-day mortality rate of 10.2%. Logistic regression (LR) and logistic regression CV (LRCV) showed the best predictive performance for functional outcome (AUC = 0.890 and 0.887, respectively), and category boosting presented the best predictive performance for the mortality (AUC = 0.841). Therefore, ML might be of potential assistance in the prediction of the prognosis of SICH.

INTRACEREBRAL HEMORRHAGE (ICH) INCIDENCE PROFILE IN JEMURSARI ISLAMIC HOSPITAL DURING THE PERIOD 2017-2019

Background: Intracerebral hemorrhage or ICH or hemorrhagic stroke is caused by bleeding within brain parenchyma. Riskesdas reported that stroke patients in Indonesia experienced an increase from 7 permil in 2013 to 10.9 permil in 2018. Mortality rate for ICH is estimated 40% in 1 month and 54% in 1 year. Rumah sakit Islam Jemursari (RSI) is the only type B hospital in Wonocolo sub-district, Surabaya city. This study aimed to analyze the pattern of incidents and variations of ICH at RSI Jemursari Surabaya.Method: This was a descriptive observational study. Medical record data is collected from 2017-2019. The data were obtained from medical records section of total number of ICH, gender, age and outcome of patients. Furthermore, data is analyzed and illustrated through a bar chart and the frequency of mortality is calculated.Results: Total ICH patients at Jemursari Hospital were 310 with 192 male patients and 118 female patients over 3 years. Meanwhile, the most groups experienced ICH were 45-64 years, followed by +65 age group. This is consistent with several epidemiological studies related to ICH, where the incidence of ICH increases with increasing age. The mortality rate for ICH patients, in the 2017-2019 periode, was around 23-30%.Conclusion: It can be concluded that male more susceptible to ICH than female subjects. Meanwhile, the mortality rate for ICH patients ranged from 23-30% in the 2017-2019 period. It is necessary to carry out further evaluation related to other data from the patient. So it could describe incidence rate as well as an overview of the ICH profile at RSI Jemursari.