| Literature DB >> 35528813 |
Vayara Perumall Vinodh1,2, Abdul Rahman Izaini Ghani1, Regunath Kandasamy1, Pulivendhan Sellamuthu2, Mohd Sofan Zenian2, Thamron Keowmani3.
Abstract
Background: Morbidity and mortality is high among aneurysm rupture patients. Despite surviving the initial rupture, morbidity is high as they suffer from vasospasm and cerebral infarction (CI). Most prediction tools for CI after aneurysmal subarachnoid haemorrhage (SAH) are complex and are not routinely available in all neurosurgical centres. Current therapies for prevention of CI are still debatable and selective usage among high-risk patients is advised. These factors necessitate a simple prediction model for identifying patients in the high risk group to initiate early preventive treatment of CI.Entities:
Keywords: VINODH score; cerebral infarct; intracranial aneurysm rupture; predictive model; subarachnoid haemorrhage
Year: 2022 PMID: 35528813 PMCID: PMC9036933 DOI: 10.21315/mjms2022.29.2.5
Source DB: PubMed Journal: Malays J Med Sci ISSN: 1394-195X
Available scores along with their outcomes and disadvantages
| Scores | Methodology | Outcome parameters | Advantages | Disadvantages |
|---|---|---|---|---|
| Behaviour score ( | Retrospective analysis of 674 consecutive patients admitted with spontaneous SAH with a prospective validation of score. | Concise early risk score for predicting CI occurrence. | Identifying patients at risk for developing CI after aneurysmal SAH. | Complex as requires invasive monitoring technique and also fully equipped neurosurgical centre. |
| Hunt and Hess score ( | Modification of Botterell’s classification applied retrospectively to 275 consecutive cases of intracranial aneurysm. | Vasospasm risk and survival. | Quantifies the risk vasospasm development and survival outcome in patients according to consciousness level and neurological deficit. | Grading does not include radiological criteria. Clinical grading of consciousness level is also subjective and might not be the same among different clinicians. |
| World Federation of Neurosurgical Societies (WFNS) score ( | Retrospective analysis of 3,521 patients from 68 countries enrolled in the International Cooperative Aneurysm Study (ICAS). | Mortality and morbidity. | Patient outcome described based on grades and more objective for consciousness level based on GCS. | Grading does not include radiological criteria. |
| Fisher grading scale ( | Prospective analysis of 47 patients with aneurysm who had CT within first 5 h after rupture and angiography during period of vasospasm. | Vasospasm risk. | Estimates the risk of development of vasospasm based on radiological grading. | Purely radiological classification and does not reflect other clinical parameters as the cause of CI is usually multifactorial. |
Demographic data and univariate analysis of each predictor against CI (n = 200)
| Predictor |
| Cerebral infarct | ||
|---|---|---|---|---|
|
| ||||
| No | Yes | |||
| Age (years old) | < 0.001 | |||
| Less than 51 | 97 | 62 (63.9) | 35 (36.1) | |
| 51 or more | 103 | 38 (36.9) | 65 (63.1) | |
| Hydrocephalus requiring CSF diversion | < 0.001 | |||
| No | 101 | 75 (74.3) | 26 (25.7) | |
| Yes | 99 | 25 (25.3) | 74 (74.7) | |
| WFNS score | < 0.001 | |||
| Good: 1–3 | 114 | 84 (73.7) | 30 (26.3) | |
| Poor: 4–5 | 86 | 16 (18.6) | 70 (81.4) | |
| Fisher’s exact test grade | < 0.001 | |||
| Good: 1–2 | 64 | 54 (84.4) | 10 (15.6) | |
| Poor: 3–4 | 136 | 46 (33.8) | 90 (66.2) | |
| GCS | < 0.001 | |||
| Good: 9–15 | 161 | 94 (58.4) | 67 (41.6) | |
| Poor: 8 or less | 39 | 6 (15.4) | 33 (84.6) | |
| Intraventricular haemorrhage | < 0.001 | |||
| No | 132 | 79 (59.9) | 53 (40.1) | |
| Yes | 68 | 21 (30.9) | 47 (69.1) | |
| Sex | 0.084 | |||
| Male | 81 | 47 (58.0) | 34 (42.0) | |
| Female | 119 | 53 (44.5) | 66 (55.5) | |
| Intracerebral haemorrhage | 0.535 | |||
| No | 141 | 73 (51.8) | 68 (48.2) | |
| Yes | 59 | 27 (45.8) | 32 (54.2) | |
| Aneurysm rupture time | 0.887 | |||
| Day: 06:00–17:59 | 106 | 54 (50.9) | 52 (49.1) | |
| Night: 18:00–05:59 | 94 | 46 (48.9) | 48 (51.1) | |
Note:
Fisher’s exact test
Final binary logistic regression model and final model of VS (n = 200)
| Predictor | OR | 95% Confidence interval for OR | VS | |
|---|---|---|---|---|
| Fisher’s exact test grade | ||||
| |
| 3.9, 30.9 |
|
|
| | 1.0 | 0 | ||
| Gender | ||||
| |
| 1.5, 8.4 |
|
|
| | 1.0 | 0 | ||
| Hydrocephalus requiring CSF diversion | ||||
| |
| 2.7, 14.0 |
|
|
| | 1.0 | 0 | ||
| WFNS score | ||||
| |
| 5.2, 29.5 |
|
|
| | 1.0 | 0 | ||
| Total score | 10 | |||
Notes:
Wald test;
indicator;
reference
Observed risk and probabilities for CI by VS
| VS | Risk group | Absence of CI [ | Presence of CI [ | 95% Confidence interval for predicted CI |
|---|---|---|---|---|
| 0 | Very low | 40 (100) | 0 (0) | 0.000–0.044 |
| 1 | 0.006–0.079 | |||
|
| ||||
| 2 | Low | 31 (70.5) | 13 (29.5) | 0.027–0.139 |
| 3 | 0.078–0.234 | |||
| 4 | 0.180–0.367 | |||
|
| ||||
| 5 | Moderate | 27 (50) | 27 (50) | 0.335–0.533 |
| 6 | 0.511–0.708 | |||
| 7 | 0.670–0.852 | |||
|
| ||||
| 8 | High | 2 (3.2) | 60 (96.8) | 0.793–0.939 |
| 9 | 0.878–0.981 | |||
| 10 | 0.931–0.997 | |||
Figure 1Area under the ROC curve for model of VS as the sole predictor of cerebral infarct (n = 200)
Figure 2Area under the ROC curve for model of VS as the sole predictor of mRS score at discharge as the outcome (n = 200)