Correlation Between Pre-Operative Diffusion Tensor Imaging Indices and Post-Operative Outcome in Degenerative Cervical Myelopathy: A Systematic Review and Meta-Analysis.

STUDY DESIGN: Systematic review. OBJECTIVES: The correlation between pre-operative diffusion tensor imaging (DTI) metrics and post-operative clinical outcomes in patients with degenerative cervical myelopathy (DCM) has been widely investigated with different studies reporting varied findings. We conducted a systematic review to determine the association between DTI metric and clinical outcomes after surgery. METHODS: We identified relevant articles that investigated the relationship between pre-operative DTI indices and post-operative outcome in DCM patients by searching PubMed/MEDLINE, Web of Science, Scopus, and EMBASE from inception until October 2023. In addition, quantitative synthesis and meta-analyses were performed. RESULTS: FA was significantly correlated with postoperative JOA or mJOA across all age and follow up subgroups, changes observed in JOA or mJOA from preoperative to postoperative stages (Δ JOA or Δ mJOA) in subgroups aged 65 and above and in those with a follow-up period of 6 months or more, as well as recovery rate in all studies pooled together and also in the under-65 age bracket. Additionally, a significant correlation was demonstrated between recovery rate and ADC across all age groups. No other significant correlations were discovered between DTI parameters (MD, AD, and ADC) and post-operative outcomes. CONCLUSION: DTI is a quantitative noninvasive evaluation tool that correlates with severity of DCM. However, the current evidence is still elusive regarding whether DTI metric is a validated tool for predicting the degree of post-operative recovery, which could potentially be useful in patient selection for surgery.

Clinical presentation, diagnostic evaluation, and management of undifferentiated/unclassified cardiac sarcoma: A case report and literature review.

This case report details a challenging instance of undifferentiated/unclassified cardiac sarcoma in a 28-year-old female, presenting with diverse symptoms like muscle weakness, shortness of breath, and hemoptysis. Diagnostic hurdles led to an initial misdiagnosis of granulomatosis with polyangiitis before discovering a sizable left atrial mass, ultimately diagnosed as high-grade undifferentiated/unclassified sarcoma. Despite initial surgical intervention, the patient's condition worsened, underscoring the complexities in managing such cases involving cardiac sarcomas. This case emphasizes the diagnostic complexities associated with primary cardiac sarcomas, particularly the challenges in achieving accurate diagnoses and formulating effective treatment strategies.

Prognostic Value of Frailty for Outcome Following Traumatic Brain Injury: A Systematic Review and Meta-Analysis.

Frailty is a known predictor of negative health outcomes. The role of frailty in predicting outcomes after traumatic brain injury (TBI), however, is unclear. This systematic review aimed to evaluate the association between frailty and adverse outcomes in patients with TBI. We identified relevant articles that investigated the relationship between frailty and outcomes in patients with TBI by searching PubMed/MEDLINE, Web of Science, Scopus, and EMBASE from inception until 23 March 2023. To evaluate the risk of bias in the included studies, we utilized the Newcastle-Ottawa Scale (NOS). In addition, quantitative synthesis and meta-analyses were performed. We identified 12 studies that met our inclusion criteria; three were prospective. Of included studies, eight had low risk, three had moderate risk, and one had high risk of bias. Frailty was significantly associated with death in five studies, with an increased risk of in-hospital death and complications observed in frail patients. Frailty was associated with longer hospital stays and unfavorable outcome measured by the Extended Glasgow Outcome Scale (GOSE) in four studies. The meta-analysis found that higher frailty significantly increased the odds of non-routine discharge and unfavorable outcome as measured by GOSE scores of 4 or lower. The pooled odds ratio (OR) for non-routine discharge, was 1.80, with a 95% confidence interval (CI) of 1.15-2.84; and for unfavorable outcome, it was 1.91, with a 95% CI of 1.09-3.36. The analysis, however, did not find a significant predictive role for frailty on death (30-day or in-hospital death). The OR for higher frailty and death was 1.42 with a 95% CI of 0.92-2.19. Frailty should be considered in the evaluation of patients with TBI to identify those who may be at increased risk of negative outcomes.

Coinfection of pulmonary tuberculosis and mucormycosis in a patient with poor controlled diabetes mellitus: A case report.

Coinfection of pulmonary mucormycosis and tuberculosis is a rare and challenging condition, particularly in immunocompromised patients. We present the case of a 60-year-old woman with poorly controlled diabetes mellitus who developed dysphonia, persistent cough, and expectoration. Imaging studies revealed a cavitary lesion and a mass in the left lung, along with stenosis of the left main bronchus. A bronchoscopy confirmed the presence of a bronchomediastinal fistula with pus discharge. Polymerase chain reaction testing of bronchial secretions revealed a co-infection of tuberculosis and mucormycosis. The patient was initiated on appropriate treatment for both infections, and her symptoms improved without disease progression. Concomitant pulmonary mucormycosis and tuberculosis pose significant diagnostic challenges due to overlapping clinical and radiological features. Early recognition and a multidisciplinary approach involving infectious disease specialists, pulmonologists, radiologists, and surgeons are crucial for optimal management. The prognosis of this coinfection is poor, emphasizing the importance of timely diagnosis and treatment. To improve outcomes, comprehensive screening and early detection of coinfections in high-risk patients, such as those with uncontrolled diabetes, are essential. Future advancements in diagnostic tools may facilitate prompt and accurate diagnosis. Clinicians should maintain a high index of suspicion and employ appropriate diagnostic techniques to ensure early identification and effective management of these complex infections.

The association between multiple sclerosis and migraine: A meta-analysis.

BACKGROUND: Multiple sclerosis (MS) is a chronic progressive condition marked by the deterioration of myelin and impairment of neurological function. The global prevalence of MS is approximately 2.2 million. Migraines are common in MS patients, with inconclusive data on their relationship. Our systematic review aimed to assess the prevalence and odds of migraine in pwMS and investigate the potential factors that may influence these associations. METHOD: Through an extensive search and meticulous study selection, we identified pertinent literature investigating the occurrence and odds of migraines among pwMS. Additionally, we explored the comparative risk of migraines in MS patients compared to healthy controls. Data were extracted, including publication details, diagnostic criteria, and migraine prevalence in MS patients. RESULTS: A total of 35 studies were included, involving 279,620 pwMS and 279,603 healthy controls. The overall prevalence of migraine in pwMS was 0.24 (95% CI: 0.21-0.28). Subgroup analyses and meta-regression were conducted to investigate the potential impact of various factors on the relationship between migraine and MS. These factors included age, duration of MS, study design, and the Expanded Disability Status Scale (EDSS), migraine diagnosis method, study design, publication year of the study, country and continent of the study population. The results of these analyses revealed no significant influence of these factors on the relationship between migraine and MS. The meta-analysis indicated that pwMS had significantly increased odds of having migraine compared to healthy controls (OR = 1.96, 95% CI: 1.20-3.20). Sensitivity analyses supported the robustness of the findings. CONCLUSIONS: Our study highlights that approximately 24% of pwMS experience migraine. The method of diagnosis significantly affects the reported prevalence, with questionnaires yielding higher rates. Furthermore, pwMS have a 1.96-fold increased odds of having migraine compared to healthy individuals. These findings emphasize the importance of further research and interventions to address the significant burden of migraine in the MS population.

Role of Frailty Status in Prediction of Clinical Outcomes of Traumatic Spinal Injury: A Systematic Review and Meta-Analysis.

Although many frailty tools have been used to predict traumatic spinal injury (TSI) outcomes, identifying predictors of outcomes after TSI in the aged population is difficult. Frailty, age, and TSI association are interesting topics of discussion in geriatric literature. However, the association between these variables are yet to be clearly elucidated. We conducted a systematic review to investigate the association between frailty and TSI outcomes. The authors searched Medline, EMBASE, Scopus, and Web of Science for relevant studies. Studies with observational designs that assessed baseline frailty status in individuals suffering from TSI published from inception until 26th March 2023 were included. Length of hospital stay (LoS), adverse events (AEs), and mortality were the outcomes of interest. Of the 2425 citations, 16 studies involving 37,640 participants were included. The modified frailty index (mFI) was the most common tool used to assess frailty. Meta-analysis was employed only in studies that used mFI for measuring frailty. Frailty was significantly associated with increased in-hospital or 30-day mortality (pooled odds ratio [OR]: 1.93 [1.19; 3.11]), non-routine discharge (pooled OR: 2.44 [1.34; 4.44]), and AEs or complications (pooled OR: 2.00 [1.14; 3.50]). However, no significant relationship was found between frailty and LoS (pooled OR: 3.02 [0.86; 10.60]). Heterogeneity was observed across multiple factors, including age, injury level, frailty assessment tool, and spinal cord injury characteristics. In conclusion, although there is limited data concerning using frailty scales to predict short-term outcomes after TSI, the results showed that frailty status may be a predictor of in-hospital mortality, AEs, and unfavorable discharge destination.