Predicting Functional Outcome After Decompressive Craniectomy for Malignant Hemispheric Infarction: Clinical and Novel Imaging Factors.

OBJECTIVE: Decompressive craniectomy (DC) is an established optional treatment for malignant hemispheric infarction (MHI). We analyzed relevant clinical factors and computed tomography (CT) measurements in patients with DC for MHI to identify predictors of functional outcome 3-6 months after stroke. METHODS: This study was performed at 2 comprehensive stroke centers. The inclusion criteria required DC for MHI, no additional intraoperative procedures (strokectomy or cerebral ventricular drain placement), and documented functional status 3-6 months after the stroke. We classified functional outcome as acceptable if the modified Rankin Scale score was <5, or as unacceptable if it was 5 or 6 (bedbound and totally dependent on others or death). Multiple logistic regression analyzed relevant clinical factors and multiple perioperative CT measurements to identify predictors of acceptable functional outcome. RESULTS: Of 87 identified consecutive patients, 66 met the inclusion criteria. Acceptable functional outcome occurred in 35 of 66 (53%) patients. Likelihood of acceptable functional outcome decreased significantly with increasing age (OR 0.92, 95% CI 0.82-0.97, P = 0.004) and with increasing post-DC midline brain shift (OR 0.78, 95% CI 0.64-0.96, P = 0.016), and decreased non-significantly with left-sided stroke (OR 0.30, 95% CI 0.08-1.10, P = 0.069) and with increasing craniectomy barrier thickness (OR 0.92, 95% CI 0.85-1.01, P = 0.076). CONCLUSIONS: Patient age and the post-DC midline shift may be useful in prognosticating functional outcome after DC for MHI. Stroke side and craniectomy barrier thickness merit further ideally prospective outcome prediction testing.

Limiting Brain Shift in Malignant Hemispheric Infarction by Decompressive Craniectomy.

OBJECTIVE: Decompressive craniectomy (DC) improves functional outcomes in selected patients with malignant hemispheric infarction (MHI), but variability in the surgical technique and occasional complications may be limiting the effectiveness of this procedure. Our aim was to evaluate predefined perioperative CT measurements for association with post-DC midline brain shift in patients with MHI. METHODS: At two medical centers we identified 87 consecutive patients with MHI and DC between January 2007 and December 2019. We used our previously tested methods to measure the craniectomy surface area, extent of transcalvarial brain herniation, thickness of tissues overlying the craniectomy, diameter of the cerebral ventricle atrium contralateral to the stroke, extension of infarction beyond the craniectomy edges, and the pre and post-DC midline brain shifts. To avoid potential confounding from medical treatments and additional surgical procedures, we excluded patients with the first CT delayed >30 hours post-DC, resection of infarcted brain, or insertion of an external ventricular drain during DC. The primary outcome in multiple linear regression analysis was the postoperative midline brain shift. RESULTS: We analyzed 72 qualified patients. The average midline brain shift decreased from 8.7 mm pre-DC to 5.4 post-DC. The only factors significantly associated with post-DC midline brain shift at the p<0.01 level were preoperative midline shift (coefficient 0.32, standard error 0.10, p=0.002) and extent of transcalvarial brain herniation (coefficient -0.20, standard error 0.05, p <0.001). CONCLUSIONS: In patients with MHI and DC, smaller post-DC midline shift is associated with smaller pre-DC midline brain shift and greater transcalvarial brain herniation. This knowledge may prove helpful in assessing DC candidacy and surgical success. Additional studies to enhance the surgical success of DC are warranted.

A Simplified Quantitative Method to Measure Brain Shifts in Patients with Middle Cerebral Artery Stroke.

BACKGROUND AND PURPOSE: A standardized and validated method to measure brain shifts in malignant middle cerebral artery (MCA) stroke with decompressive hemicraniectomy (DHC) could facilitate clinical decision making, prognostication, and comparison of results between studies. METHODS: We tested for reliability simplified methods to measure transcalvarial herniation, midline brain shift, and the contralateral cerebral ventricular atrium in malignant MCA stroke after DHC. Multiple raters measured brain shifts on post-DHC computed tomography (CT) scans with aligned and unaligned slice orientations in 25 patients. We compared the simplified measurements to previously reported more meticulous measurements. RESULTS: The simplified measurements correlate well with the more meticulous measurements on both aligned and unaligned CTs (intraclass correlation coefficients .72-.89). CONCLUSIONS: These simplified and expedient methods of measuring brain shifts in malignant MCA stroke after DHC correlate well with the more meticulous methods.

A standardized method to measure brain shifts with decompressive hemicraniectomy.

BACKGROUND: A standardized, reliable, and practical method for measuring decompressive hemicraniectomy (DHC) defects and brain shifts in malignant middle cerebral artery (MCA) territory infarction is needed for reliable comparisons between computed tomography (CT) scans. Such a method could facilitate further studies on the effects of DHC. NEW METHOD: We describe and apply a method for measuring DHC defects and brain shifts on CT scans in 25 patients with malignant MCA territory infarction. Craniectomy area is adjusted for variations in head size, CT slice orientation is standardized, and the site of each measurement is defined. This method uses standard radiology platforms and volume-acquired helical CT scans. RESULTS: The measurements include a DHC size index (adjusted for variations in head size), midline brain shift (subfalcine), outward brain herniation (transcalvarial), and the diameter of the contralateral atrium of the lateral ventricle. Inter-rater agreement for these measurements in a sample of 15 subjects is excellent (correlation coefficients 0.90-0.98). COMPARISON WITH EXISTING METHODS: In contrast to previously reported methods, this method is tested in acute stroke patients, compensates for variability in head size, and includes a midline brain shift (subfalcine) and brain ventricular system measurements. CONCLUSIONS: A practical method for measuring DHC size and brain shifts designed to be consistent between scans is proposed. This method should facilitate comparisons of measurements between serial scans, between patients, and perhaps between studies. This method could be useful in medical and surgical studies of brain herniations in malignant MCA territory infarction, and possibly other conditions.

Electronic cigarette use in patients with schizophrenia: Prevalence and attitudes.

BACKGROUND: Smoking is highly prevalent in patients with schizophrenia. Electronic cigarettes (e-cigarettes) are becoming increasingly popular among smokers. Surveys indicate overall favorable attitudes toward the use of e-cigarettes to reduce or quit smoking, relieve withdrawal symptoms, and with respect to perceived health risks; however, less is known about their use in patients with schizophrenia. In the present study, we investigated the prevalence of and attitudes toward e-cigarettes in patients with schizophrenia. METHODS: Sixty inpatients and outpatients age 18 to 70 with schizophrenia completed a brief survey on e-cigarette use. RESULTS: Thirty-seven percent of participants reported having tried e-cigarettes, 24% of never-users were considering use, and 7% were current users. Thirty-four percent of surveyed patients believed that the health effects of e-cigarettes were less harmful than regular cigarettes. Health benefits (39%), cutting down (37%), and quitting smoking (37%) were the most frequently cited potential advantages, whereas cost (33%) was the most common potential disadvantage of e-cigarettes. Participants who were ever-users reported that regular cigarettes were significantly more helpful with reducing symptoms such as depression/anxiety, impaired concentration, and paranoia, than e-cigarettes (P < .05 for each). CONCLUSIONS: These preliminary findings should be investigated in larger samples, but suggest that e-cigarettes have, at best, modest relevance to smoking cessation in patients with schizophrenia.

Parental type 2 diabetes in patients with non-affective psychosis.

OBJECTIVE: People with schizophrenia have an increased risk of diabetes that may be independent of antipsychotics. Previous studies have explored the prevalence of a family history of type 2 diabetes (DM2) in schizophrenia. We hypothesized that parental DM2 is increased in probands with non-affective psychosis (NAP) compared to controls, and parental DM2 predicts comorbid diabetes in NAP, after controlling for potential confounders. METHOD: N=217 patients with NAP and N=67 controls were interviewed for a history of parental DM2. NAP was investigated as a predictor of parental DM2 in binary logistic regression models, controlling for age, sex, race, smoking, body mass index, socioeconomic status, and parental psychiatric history. RESULTS: There was an increased prevalence of DM2 in the mother (30.0% vs 13.8%, p=0.013) and in either the mother or father (44.5% vs 24.6%, p=0.006) in patients with NAP versus controls. After accounting for potential confounders, NAP was associated with significant increased odds of parental DM2 (OR=2.80, 95% CI 1.08-7.23, p=0.034). Parental DM2 was also associated with increased odds of comorbid DM2 in NAP (OR=3.67, 95% CI 1.58-8.56, p=0.003). CONCLUSIONS: We replicated an association of an increased prevalence of parental DM2 in patients with NAP. Parental DM2 was also an independent predictor of comorbid DM2 in these patients. These associations may be due to shared environmental or genetic risk factors, or gene by environment interactions. Given risks of incident diabetes with antipsychotic treatment, screening for parental DM2 status is germane to the clinical care of patients with NAP.