A 4-month-old male baby who presented in a moribund condition with seizures was found to have hepatomegaly, hypoglycemia and milky serum. Serum triglycerides were markedly elevated (3168 mg/dL) with cholesterol being 257 mg/dL and high density lipoprotein levels were low (19 mg/dL). The possibility of glycogen storage disease type I was considered in the diagnosis. Infants with glycogen storage disease type I may present like sepsis. The association of hepatomegaly, hypoglycemia and abnormal lipid profile stated above should alert the physician to consider glycogen storage disease type I in the diagnosis.

Background: Optimal placement of the components and achieving a neutral mechanical axis are the main goals of total knee arthroplasty (TKA). Different computerised navigation systems are presently used for these purposes. This aim of this study was to compare the pinless navigation (PNA) TKA performed using iAssist with the conventional instrumented (CIN) TKA in terms of functional and radiological outcomes. Methods: A total of 100 knees operated for TKA by a single surgeon were studied retrospectively for a period of 2 years. Weightbearing postoperative radiographs of the knees along with scanograms of the lower limbs were used for measurements of component positioning, mechanical axis alignment, and number of outliers. Oxford knee scoring was used for functional analysis. Results: No statistically significant difference was seen in the mean mechanical axis alignment (hip-knee-ankle angle), coronal alignment (α and β angles) and sagittal alignment (γ and δ angles) of the femoral and tibial components between the two groups. Though the percentage of outliers for mechanical axis alignment was lower in the PNA-TKA group than in the CIN-TKA group, the difference was not statistically significant (p = 0.73). The number of outliers for the femoral and tibial component positioning in coronal and sagittal planes was not statistically significantly different between the two groups. No statistically significant difference (p = 0.68) was noted between the two groups with respect to the Oxford Knee Score. The mean surgical time was greater in the PNA-TKA group by 11 minutes, which was statistically significantly longer (p = 0.018). Complications were seen in 6.89% of the cases in the CIN-TKA group, while none in the PNA-TKA group. Conclusions The accurate mechanical axis alignment and component positioning can be achieved with the conventional instrumentation, so the use of PNA system, which adds to the surgical cost, is questionable. Also, equally good short-term functional outcome can be achieved with the conventional instrumentation. The surgeon must be accustomed with the instrumentation of the PNA system, or it adds to the surgical time.

Background: Optimal placement of the components and achieving a neutral mechanical axis are the main goals of total knee arthroplasty (TKA). Different computerised navigation systems are presently used for these purposes. This aim of this study was to compare the pinless navigation (PNA) TKA performed using iAssist with the conventional instrumented (CIN) TKA in terms of functional and radiological outcomes. Methods: A total of 100 knees operated for TKA by a single surgeon were studied retrospectively for a period of 2 years. Weightbearing postoperative radiographs of the knees along with scanograms of the lower limbs were used for measurements of component positioning, mechanical axis alignment, and number of outliers. Oxford knee scoring was used for functional analysis. Results: No statistically significant difference was seen in the mean mechanical axis alignment (hip-knee-ankle angle), coronal alignment (α and β angles) and sagittal alignment (γ and δ angles) of the femoral and tibial components between the two groups. Though the percentage of outliers for mechanical axis alignment was lower in the PNA-TKA group than in the CIN-TKA group, the difference was not statistically significant (p = 0.73). The number of outliers for the femoral and tibial component positioning in coronal and sagittal planes was not statistically significantly different between the two groups. No statistically significant difference (p = 0.68) was noted between the two groups with respect to the Oxford Knee Score. The mean surgical time was greater in the PNA-TKA group by 11 minutes, which was statistically significantly longer (p = 0.018). Complications were seen in 6.89% of the cases in the CIN-TKA group, while none in the PNA-TKA group. Conclusions The accurate mechanical axis alignment and component positioning can be achieved with the conventional instrumentation, so the use of PNA system, which adds to the surgical cost, is questionable. Also, equally good short-term functional outcome can be achieved with the conventional instrumentation. The surgeon must be accustomed with the instrumentation of the PNA system, or it adds to the surgical time.

With the emergence of the coronavirus disease 2019 (COVID-19) pandemic, healthcare professionals (HCPs) have experienced high levels of stress and anxiety because of the high risk of infection for themselves and their families. This has led to acute sleep problems for HCP. This study was designed to assess the anxiety and sleep quality of HCPs during the COVID-19 pandemic. Methods: This cross-sectional study analyzed 370 HCPs employed at All India Institute of Medical Sciences Patna over 3 months, using the standard Generalized Anxiety Disorder 7-item scale (GAD-7) for suspected GAD and the Pittsburgh Sleep Quality Index for sleep quality. Results were tabulated and multivariable binomial logistic regression analysis was done to determine the predictors of poor sleep. Significance was attributed to p<0.05. Results: Of the 370 HCPs screened, 52 (14.1%; 95% confidence interval [CI], 10.8%–18.1%) were found to have GAD and 195 (52.7%; 95% CI, 47.5%–57.9%) were found to be poor sleepers. The presence of any addictive habit (adjusted odds ratio [AOR], 1.833; 95% CI, 1.12–2.8), unprotected contact with COVID-19 cases (AOR, 1.902; 95% CI, 1.1–3.3), and the presence of GAD (AOR, 5.57; 95% CI, 2.5–12.4) were found to be predictors of poor sleep quality among HCPs. Conclusion: A significant proportion of HCPs were found to have suspected GAD and were poor sleepers. This highlights the need for measures to confront this problem.