Predictive Factors for Length of Stay in Patients Undergoing Total Hip Arthroplasty: A Cross-Sectional Study.

Background: Total hip arthroplasty (THA) is an effective surgery for patients with end-stage hip joint degenerative arthritis. This study aimed to determine peri-operative factors that impact the length of stay (LOS) and design a formula to predict LOS in patients undergoing THA. Methods: This cross-sectional study was performed from September 2019 to January 2020. For this study, all patients who underwent THA over a period of 12 years since 2005 were included in the study. Data about the LOS and several variables including demographic variables, surgery-related variables, transfusion, intensive care unit (ICU) admission, past drug history, comorbidities, and laboratory data, were gathered. Qualitative variables are presented as numbers (%), and quantitative variables are presented as mean Mann± standard deviation. Mann Whitney test , Kruskal-Wallis test, and Spearman's rank correlation test were also used. Results: A total of 524 patients were included in the study; 12 were excluded .261 (51%) were female and 251(49%) male. The mean age was 56.13±17.04 years. In the univariate analysis, the day of admission, surgery indication, transfusion, diabetes mellitus, oral anti-diabetic drugs, American Society of Anesthesiology (ASA) score, preoperative hemoglobin (Hb) level, and type of prosthesis showed significant relation with LOS. Significant variables entered to zero truncated negative binomial regression. Among them, the day of admission, ASA score, preoperative Hb level, and type of prosthesis showed significant relation with LOS (P < 0.05) and were used for model design. Conclusion: Preoperative Hb level, ASA score, day of admission, and prosthesis type have an impact on LOS and can predict LOS in patients who are candidates for THA.

New-onset acute ischemic stroke following COVID-19: A case-control study.

Background: Neurological manifestations of coronavirus disease 2019 (COVID-19) have been highlighted. COVID-19 potentially increases the risk of thromboembolism. We aimed to compare patients with COVID-19 with and without new-onset acute ischemic stroke (AIS). Materials and Methods: In this single-center retrospective case-control study, demographics, clinical characteristics, laboratory findings, and clinical outcomes were compared between 51 patients with both COVID-19 and AIS (group A) and 160 patients with COVID-19 and without AIS (group B). Results: Patients in group A were significantly older, more likely to present with critical COVID-19 (P = 0.004), had higher rates of admission in the intensive care unit (P < 0.001), more duration of hospitalization (P < 0.001), and higher in-hospital mortality (P < 0.001). At the time of hospitalization, O2 saturation (P = 0.011), PH (P = 0.04), and HCO3 (P = 0.005) were lower in group A. White blood cell count (P = 0.002), neutrophil count (P < 0.001), neutrophil-lymphocyte ratio (P = 0.001), D-Dimer (P < 0.001), blood urea nitrogen (BUN) (P < 0.001), and BUN/Cr ratio (P < 0.001) were significantly higher in patients with AIS. Conclusion: Stroke in COVID-19 is multifactorial. In addition to conventional risk factors of ischemic stroke (age and cardiovascular risk factors), we found that patients with more severe COVID-19 are more prone to ischemic stroke. Furthermore, leukocyte count, neutrophil count, neutrophil-lymphocyte ratio, D-Dimer, BUN, and BUN/Cr ratio were higher in patients with AIS following COVID-19 infection.

On genotype-phenotype relationship of dystrophinopathies among Iranian population.

Background: Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) are inherited X-linked disorders resulting from alterations in the dystrophin gene. Genotype-phenotype matching studies have revealed a link between disease severity, the amount of muscle dystrophin, and the extent of mutation/deletion on the dystrophin gene. This study aimed to assess the relationship between genetic alterations in the dystrophin gene and the clinical status of patients with dystrophinopathies among the Iranian population. Methods: This cross-sectional study examined 54 patients with muscle weakness caused by abnormalities in the dystrophin gene at a hospital affiliated to Isfahan University of Medical Sciences, Isfahan, Iran, in 2021. The participants' demographic information, including age, family history of muscle dystrophies, and family history of other medical diseases as well as the type of muscular dystrophy were recorded. Furthermore, the number and region of deleted exons based on dystrophy types were also evaluated using multiplex ligation-dependent probe amplification (MLPA). The patients' gaits were also assessed as using a wheelchair, the presence of waddling gaits, or toe gaits. The patients' clinical status and the coexistence of pulmonary, bulbar, and mental conditions were also examined and compared between the two groups of dystrophinopathies. Results: In this study, 54 patients with dystrophinopathy with the mean age of 16.63 ± 12.10 years were evaluated, of whom 22 (40.7%) and 30 (55.6%) patients were classified as BMD and DMD, respectively. The most affected regions with deleted exons were exons 45-47 (n = 5) and 45-48 (n = 4) in patients with BMD, while exons 45, 48-52, 51-55, and 53 (2 cases per exon) were the most common affected exons in patients with DMD. Further analyses revealed that deletions in exons 45-47 and 51-55 were significantly associated with older and younger ages at the onset of becoming wheelchair-bound in patients with dystrophy, respectively. The hotspot range in both BMD and DMD was within exons 45-55 (n = 15 for each group); 63% of the patients had alterations on the dystrophin gene within this range [30 patients (68.18%) in the BMD group, 15 patients (53.57%) in the DMD group]. Conclusion: Exon deletion was the most common genetic alteration in patients with dystrophinopathies. No significant difference was observed between DMD and BMD regarding the number of deleted exons. Deletions in exons 45-47 and 51-55 were linked to later and earlier onset of becoming wheelchair-bound, respectively.

Clinical and Neuroimaging Characteristics of Ischemic Stroke in Rhino-Orbito-Cerebral Mucormycosis Associated with COVID-19.

PURPOSE: The aim of this study was to compare clinical, neuroimaging, and laboratory features of rhino-orbito-cerebral mucormycosis (ROCM) in COVID-19 patients with and without ischemic stroke complications. METHODS: This observational study was conducted between August and December 2021 and 48 patients who had confirmed ROCM due to COVID-19, according to neuroimaging and histopathology/mycology evidence were included. Brain, orbit and paranasal sinus imaging was performed in all included patients. Data pertaining to clinical, neuroimaging, and laboratory characteristics and risk factors were collected and compared between patients with and without ischemic stroke complications. RESULTS: Of the patients 17 were diagnosed with ischemic stroke. Watershed infarction was the most common pattern (N = 13, 76.4%). Prevalence of conventional risk factors of stroke showed no significant differences between groups (patients with stroke vs. without stroke). Cavernous sinus (p = 0.001, odds ratio, OR = 12.8, 95% confidence interval, CI: 2.3-72) and ICA (p < 0.001, OR = 16.31, 95%CI: 2.91-91.14) involvement was more common in patients with stroke. Internal carotid artery (ICA) size (on the affected side) in patients with ischemic stroke was significantly smaller than in patients without stroke (median = 2.4 mm, interquartile range, IQR: 1.3-4 vs. 3.8 mm, IQR: 3.2-4.3, p = 0.004). Superior ophthalmic vein (SOV) size (on the affected side) in patients with stroke was significantly larger than patients without stroke (2.2 mm, IQR: 1.5-2.5 vs. 1.45 mm IQR: 1.1-1.8, p = 0.019). Involvement of the ethmoid and frontal sinuses were higher in patients with stroke (p = 0.007, OR = 1.85, 95% CI: 1.37-2.49 and p = 0.011, OR = 5, 95% CI: 1.4-18.2, respectively). Patients with stroke had higher D­dimer levels, WBC counts, neutrophil/lymphocyte ratios, and BUN/Cr ratio (all p < 0.05). CONCLUSION: Stroke-related ROCM was not associated with conventional ischemic stroke risk factors. Neuroimaging investigations including qualitative and quantitative parameters of cavernous sinus, ICA and SOV are useful to better understand the mechanism of stroke-related ROCM in COVID-19 patients.

Watershed infarction in COVID-19: The necessity of neuroimaging in patients with subtle neurological symptoms.

Background: Cerebrovascular diseases comprise a significant portion of neurological disorders related to coronavirus disease 2019 (COVID-19). We evaluated the clinical and imaging characteristics of a cohort of COVID-19 patients with stroke and also identified patients with watershed infarcts. Methods: In this cross-sectional study, seventy-three COVID-19 patients with ischemic stroke were included between October 2020 and January 2021. Patients were evaluated based on the following clinical and imaging features: severity of COVID-19 (critical/ non-critical), stroke type, presence/absence of clinical suspicion of stroke, medical risk factors, Fazekas scale, atherothrombosis, small vessel disease, cardiac pathology, other causes, and dissection (ASCOD) criteria classification, and presence or absence of watershed infarction. Clinical outcomes were assessed based on Modified Rankin Scale (MRS) and mortality. Results: Most cases of ischemic stroke were due to undetermined etiology (52.1%) and cardioembolism (32.9%). In terms of imaging pattern, 17 (23.0%) patients had watershed infarction. Watershed infarction was associated with the clinically non-suspicious category [odds ratio (OR) = 4.67, P = 0.007] and death after discharge (OR = 7.1, P = 0.003). Patients with watershed infarction had a higher odds of having high Fazekas score (OR = 5.17, P = 0.007) which was also shown by the logistic regression model (adjusted OR = 6.87, P = 0.030). Thirty-one (42%) patients were clinically non-suspected for ischemic stroke. Critical COVID-19 was more common among patients with watershed infarct and clinically non-suspicious patients (P = 0.020 and P = 0.005, respectively). Patients with chronic kidney disease (CKD) were more prone to having stroke with watershed pattern (P = 0.020). Conclusion: Watershed infarct is one of the most common patterns of ischemic stroke in patients with COVID-19, for which clinicians should maintain a high index of suspicion in patients with critical COVID-19 without obvious clinical symptoms of stroke.

Status epilepticus due to COVID-19; a cases series and literature review.

Complications are increasingly recognized with SARS-CoV-2, the causative pathogen for COVID-19. Various mechanisms have been proposed to justify the cause of seizures in Covid-19 patients. To our knowledge, 13 cases of status epilepticus (SE) associated with COVID-19 have been reported so far. Here, we present a single-center case series, including the clinical, laboratory, and imaging characteristics, and the EEG and the outcome of SE in 5 Iranian patients with laboratory-confirmed SARS-CoV-2 virus. SE was para-infectious in four patients and post-infectious in one other patient. In Three patients, the causes of seizure were included severe hyponatremia, acute ischemic stroke, and meningoencephalitis. However, in two other patients, no specific reason for seizure was found, but there are possibilities for lesser-known mechanisms of Covid-19 that play roles in developing SE. Two of the patients recovered, and three patients, older and with higher comorbidities, failed to recover and died.

Prevalence, clinical, imaging, electroencephalography and laboratory characteristics of seizures in COVID-19.

BACKGROUND: COVID-19 is the cause of the recent pandemic. Viral infections could increase the risks of neurological impairments, including seizures. Here, we aimed to evaluate the prevalence, clinical, imaging, electroencephalography and laboratory characteristics of seizures in COVID-19. METHODS: This retrospective cross-sectional study was performed on cases of COVID-19 infection and seizure. The prevalence of seizures in patients with COVID-19 was calculated using the incidence of seizures in all patients. The collected data were age, sex, history of previous illnesses, the severity of COVID-19 disease, patients' medications, hospitalization, and the presence of electrolyte disorders in patients' tests and other tests such as blood gas. Those patients with their first seizure episodes were also divided into two groups of cases with COVID-19 associated seizures (N=38) and non-COVID-19 associated seizures (N=37) and the mentioned data were compared between the two groups. RESULTS: We assessed data of 60 patients with COVID-19-associated seizures (group 1), 40 patients with seizures not related to COVID-19 (group 2) and 60 patients with COVID-19 infection and no seizures (group 3). The prevalence of hypertension and diabetes mellitus were significantly higher in group 3 compared to group 1 (P=0.044 and P=0.009, respectively). Still, patients in group 1 had a higher prevalence of cerebrovascular accidents (CVA) compared to group 3 (P=0.008). The prevalence of abnormal EEG was significantly higher in cases with COVID-19 infection compared to the other group (P<0.001). Cases with their first seizure episode associated with COVID-19 had significantly higher creatinine levels (P=0.035), lower blood pH (P=0.023), lower blood HCO3 (P=0.001), higher ALT (P=0.004), higher blood urea nitrogen (BUN) (P=0.001), lower hemoglobin (Hb) (P=0.017), higher ESR (P=0.001), higher CRP (P<0.001) and higher mortality rates (P=0.004). CONCLUSION: Patients with COVID-19 infection and seizure have higher mortality rates and disturbed laboratory data.

Parkinsonism associated with multiple sclerosis: A report of eight new cases and a review on the literature.

BACKGROUND: Multiple sclerosis (MS) is an autoimmune inflammatory disease that affects the central nervous system. Except tremor, other movement disorders such as Parkinsonism are less frequent in MS. However, some investigations have shown inflammatory and autoimmune aspects of Parkinson's disease. In this study, we report eight new cases of MS who present Parkinson's disease. METHODS: This retrospective population-based study was carried out on Isfahan MS society between April 2003 and July 2012. A total of 3792 patients with MS were surveyed for Parkinson's disease. Parkinson's disease was approved according to "UK Parkinson disease Brain Bank" criteria. Eligible cases were invited to have an interview with a neurologist. MRI was carried out according to the baseline. RESULTS: We identified eight patients (three men and five women) who present MS and Parkinson's disease. The mean (±SD) age of onset was 33.3 ± 6.5 (range: 24-42) years for MS and 39.5 ± 8.6 (range: 30-55) years for Parkinson's disease patients. In all patients, MS was preceded Parkinson's disease. Parkinson's disease was developed within mean duration of 6.1 ± 3.4 (range 2-13) years after MS. Focal lesions was shown in six cases, lesions of basal ganglia (BG) in four, lesions of the thalamus in two and lesions of mid-brain in five of cases. In four cases, Parkinsonism occurred before age 40 that is considered as Young-Onset Parkinson's disease. CONCLUSION: We reported eight patients with MS and Parkinson's disease. To the best of our knowledge, 34 cases of Parkinsonism associating with MS are reported so far. Parkinsonism is a movement disorder, defines as deep gray matter disorder which lead to dopamine deficiency in BG. Investigations have shown that MS could affect deep gray matter structures. Demyelinated lesions in MS and consequence axonal loss in BG and/or nigrostriatal pathway may be responsible for Parkinsonism manifestations in such cases.