| Literature DB >> 35061040 |
Marie-Jeanne Buscot1, Ronil V Chandra2,3, Julian Maingard2, Linda Nichols4, Leigh Blizzard1, Christine Stirling4, Karen Smith5, Leon Lai3,6, Hamed Asadi2, Jens Froelich7, Mathew J Reeves8, Nova Thani9, Amanda Thrift3, Seana Gall1.
Abstract
Importance: Rapid access to specialized care is recommended to improve outcomes after aneurysmal subarachnoid hemorrhage (SAH), but understanding of the optimal onset-to-treatment time for aneurysmal SAH is limited. Objective: To assess the optimal onset-to-treatment time for aneurysmal SAH that maximized patient outcomes after surgery. Design, Setting, and Participants: This cohort study assessed 575 retrospectively identified cases of first-ever aneurysmal SAH occurring within the referral networks of 2 major tertiary Australian hospitals from January 1, 2010, to December 31, 2016. Individual factors, prehospital factors, and hospital factors were extracted from the digital medical records of eligible cases. Data analysis was performed from March 1, 2020, to August 31, 2021. Exposures: Main exposure was onset-to-treatment time (time between symptom onset and aneurysm surgical treatment in hours) derived from medical records. Main Outcomes and Measures: Clinical characteristics, complications, and discharge destination were extracted from medical records and 12-month survival obtained from data linkage. The associations of onset-to-treatment time (in hours) with (1) discharge destination of survivors (home vs rehabilitation), (2) 12-month survival, and (3) neurologic complications (rebleed, delayed cerebral ischemia, meningitis, seizure, hydrocephalus, and delayed cerebral injury) were investigated using natural cubic splines in multivariable Cox proportional hazards and logistic regression models.Entities:
Mesh:
Year: 2022 PMID: 35061040 PMCID: PMC8783267 DOI: 10.1001/jamanetworkopen.2021.44039
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Characteristics of REDDISH Patients Included in the Analyses
| Characteristic | Finding (N = 482) |
|---|---|
| Age, mean (SD), y | 55.0 (14.5) |
| Sex | |
| Female | 337 (69.9) |
| Male | 145 (30.1) |
| Hypertension | 195 (40.4) |
| Smoking | |
| Missing | 77 (16.8) |
| Current smoker | 239 (49.6) |
| Ex-smoker | 56 (11.6) |
| No smoking | 110 (22.8) |
| CCI | |
| 0 | 356 (73.8) |
| 1-3 | 109 (22.6) |
| ≥4 | 17 (3.5) |
| Modified Fisher scale score, median (IQR) | 4 (1) |
| 0 | 8 (1.6) |
| 1 | 46 (9.5) |
| 2 | 18 (3.7) |
| 3 | 106 (21.9) |
| 4 | 264 (54.7) |
| WFNS score, mean (SD) | 2.28 (1.49) |
| 1 | 235 (48.7) |
| 2 | 92 (19.1) |
| 3 | 22 (4.5) |
| 4 | 44 (9.1) |
| 5 | 81 (16.8) |
| Onset-to-treatment time, h | |
| Mean (SD) | 49.5 (122.4) |
| Median (IQR) | 19.5 (10.58-30.98) |
| Hospital transfer | 254 (50.8) |
| Ventriculostomy | 235 (48.7) |
| Hematoma evacuation | 12 (3.9) |
| Treatment modality | |
| Clipping | 186 (38.6) |
| Coiling | 296 (61.4) |
Abbreviations: CCI, Charlson Comorbidity Index; REDDISH; Reducing Delays in Aneurysmal Subarachnoid Hemorrhage study; WFNS, World Federation of Neurosurgical Societies.
Data are presented as number (percentage) of patients unless otherwise indicated.
Figure 1. Distribution of Onset-to-Treatment Time for 482 Treated Participants in the Reducing Delays in Aneurysmal Subarachnoid Hemorrhage (SAH) Study
Onset-to-treatment time is the time elapsed between symptoms onset and aneurysmal SAH treatment. A total of 295 participants had onset-to-treatment time delays of less than 24 hours, 99 had delays of 24 to 48 hours, and 80 had delays of greater than 48 hours (data were missing for 8 participants).
Figure 2. Association of Time to Treatment With the Odds of Being Discharged Home vs to a Rehabilitation Facility in Participants With Aneurysmal Subarachnoid Hemorrhage
These partial predicted probability plots were derived from the adjusted logistic regression model with a 4-df natural cubic spline to model nonlinearity of effect. Shaded areas indicated 95% CIs.
Figure 3. Relative Death Rates as a Function of Onset to Treatment Among 474 Participants Who Received Coiling or Clipping of Their Aneurysm
Shaded areas indicate 95% CIs.
Prevalence of Aneurysm-Related Complications and Association Between Onset-to-Treatment Time and Secondary Injuries in Treated REDDISH Participants for Adjusted Models
| Complication | No. (%) of participants (N = 482) | Adjusted OR (95% CI) | Nonlinearity of the risk over time | Likelihood ratio test |
|---|---|---|---|---|
| Individual complications | ||||
| Stroke | 100 (26.7) | 1.00 (0.98-1.00) | 1.00 | .28 |
| Rebleed | 12 (2.5) | 0.94 (0.89-1.01) | 1.00 | .26 |
| Clinical deterioration | 156 (32.3) | 1.00 (0.99-1.00) | 1.36 | .48 |
| Delayed cerebral ischemia | 118 (24.4) | 1.00 (0.98-1.00) | 1.00 | .88 |
| Meningitis | 57 (12.0) | 0.99 (0.98-1.00) | 1.00 | .28 |
| Seizure | 40 (8.9) | 0.99 (0.98-1.01) | 3.04 | .11 |
| Hydrocephalus | 301 (62.7) | 1.00 (1.00-1.01) | 3.26 | .43 |
| Any complication | 254 (52.6) | 1.00 (0.99-1.00) | 1.20 | .67 |
| No. of complications | 1.17 | .42 | ||
| 0 | 221 (45.8) | NA | NA | NA |
| 1-2 | 205 (45.5) | 1.00 (1.00-1.01) | NA | NA |
| ≥3 | 56 (11.6) | 0.96 (0.97-1.00) | NA | NA |
Abbreviations: NA, not applicable; OR, odds ratio; REDDISH: Reducing Delays in Aneurysmal Subarachnoid Hemorrhage study.
Adjustments include age, sex, procedure type, WFNS, modified Fisher scale score, Charlson Comorbidity Index, smoking, history of hypertension, ventriculostomy, and hematoma evacuation before treatment.
Nonlinearity assessed using effective df from univariate generalized additive model (see eAppendix 3 in the Supplement for details).
The nonlinear association between complications and treatment delay was assessed through likelihood ratio testing (df = 3, deviance = 9.57, χ2 test P = .02), comparing the univariate model with linear effect with the model with natural cubic spline term, where df was set to the rounded-down effective df value from the corresponding generalized additive model for treatment delay.