Rare combination of chronic primary adrenal insufficiency, subclinical hypothyroidism, and bicytopenia as features of systemic lupus erythematosus in a young man: A case report.

Adrenal insufficiency in systemic lupus erythematosus is rarely detected, especially in male patients. Nevertheless, such coexistence can occur, and screening for systemic lupus erythematosus should be considered in primary adrenal insufficiency with symptoms of systemic multiorgan involvement. We report a 22-year-old Asian man, initially diagnosed with bicytopenia, developed severe unintentional weight loss, skin and mucosal hyperpigmentation, along with persistent fatigue. Laboratory examination showed positive antinuclear antibody-indirect immunofluorescence, elevated anti-double-stranded DNA, extremely low morning serum cortisol, and mildly elevated thyroid stimulating hormone with normal free T4. He was diagnosed with systemic lupus erythematosus, manifesting as chronic primary adrenal insufficiency, subclinical hypothyroidism, and bicytopenia. He was treated with mycophenolic acid of 180 mg b.i.d, methylprednisolone of 4 mg q.d, and vitamin D3 1000 IU q.d. Methylprednisolone was given for its anti-inflammatory property and as a simple once-daily regimen to supplement glucocorticoid deficiency. Levothyroxine was not prescribed for our patient since his thyroid stimulating hormone was only mildly elevated, and supplementation of levothyroxine in the setting of adrenal insufficiency might precipitate an adrenal crisis. At the 6-month follow-up, he was no longer fatigued, he regained his body weight, his skin and mucosal hyperpigmentation improved significantly, his thyroid stimulating hormone level normalized (without levothyroxine supplementation), and his complete blood count stabilized, remitting him from the need for transfusion.

COVID-19 Infection-Related Thyrotoxic Hypokalemic Periodic Paralysis.

SARS-CoV-2 infection induces the dysfunction of many organs including the thyroid gland through the role of ACE2 receptors as well as the consequences of the cytokine storm. Thyroid diseases such as subacute thyroidism, Graves' disease, thyrotoxicosis, and Hashimoto's thyroiditis have been documented in patients with SARS-CoV-2 infection. However, there are limited reports about the consequences of SARS-CoV-2 infection-related thyroid complications. We describe a case of man who was admitted to the emergency department due to repeated lower limb weakness since diagnosed with COVID-19. He had refractory hypokalemia and was treated with potassium replacement therapy for 2 months. However, the complaints continued. The patient has no history of thyroid disease, yet the laboratory result showed hyperthyroidism. Accordingly, he received oral thiamazole. As the laboratory parameters of the thyroid hormones improved, potassium levels returned to normal and the limb weakness stopped. This unusual thyroid complication should be considered in SARS-CoV-2 infection. The prompt diagnosis and appropriate therapy can reduce the burden of the disease.

A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification.

BACKGROUND: Neuraxial procedures are commonly performed for therapeutic and diagnostic indications. Currently, they are typically performed via palpation-guided surface landmark. We devised a novel intelligent image processing system that identifies spinal landmarks using ultrasound images. Our primary aim was to evaluate the first attempt success rate of spinal anesthesia using landmarks obtained from the automated spinal landmark identification technique. METHODS: In this prospective cohort study, we recruited 100 patients who required spinal anesthesia for surgical procedures. The video from ultrasound scan image of the L3/4 interspinous space in the longitudinal view and the posterior complex in the transverse view were recorded. The demographic and clinical characteristics were collected and analyzed based on the success rates of the spinal insertion. RESULTS: Success rate (95%CI) for dural puncture at first attempt was 92.0% (85.0-95.9%). Median time to detection of posterior complex was 45.0 [IQR: 21.9, 77.3] secs. There is good correlation observed between the program-recorded depth and the clinician-measured depth to the posterior complex (r = 0.94). CONCLUSIONS: The high success rate and short time taken to obtain the surface landmark with this novel automated ultrasound guided technique could be useful to clinicians to utilise ultrasound guided neuraxial techniques with confidence to identify the anatomical landmarks on the ultrasound scans. Future research would be to define the use in more complex patients during the administration of neuraxial blocks. TRIAL REGISTRATION: This study was retrospectively registered on clinicaltrials.gov registry ( NCT03535155 ) on 24 May 2018.

Patient-factors associated with metformin steady-state levels in type 2 diabetes mellitus with therapeutic dosage.

AIMS: This prospective study aimed to analyze metformin steady-state concentration in repeated constant dosage and the influencing patient-factors as well as to correlate them with glycemic control. METHODS: The validated HPLC-UV method was used to examine metformin steady-state concentration, while FBG and glycated albumin were used as the parameters of glycemic control during metformin administration. RESULTS: A total of 82 type-2 diabetes patients were involved with 32.1% of them having metformin Cssmin and 84.1% having Cssmax of metformin within the recommended therapeutic range. One patient had metformin Css that exceeded minimum toxic concentration despite his normal renal function and administered therapeutic dosage of metformin. Higher Cssmax was found in patients with metformin monotherapy, while patients with longer duration of metformin use had significantly higher Cssmin. CONCLUSIONS: Along with initial hyperglycemia and eGFR, metformin Cssmin became the only parameter that influenced FBG level (P < 0.05). Duration of previous metformin use should be considered in the strategy of optimizing metformin dosage. The type-2 diabetes patients with obesity are more suggested to take shorter interval of metformin administration (or possibly with sustained-release formulation) to keep Cssmin within the therapeutic range.

Assistive technology for ultrasound-guided central venous catheter placement.

This study evaluated the existing technology used to improve the safety and ease of ultrasound-guided central venous catheterization. Electronic database searches were conducted in Scopus, IEEE, Google Patents, and relevant conference databases (SPIE, MICCAI, and IEEE conferences) for related articles on assistive technology for ultrasound-guided central venous catheterization. A total of 89 articles were examined and pointed to several fields that are currently the focus of improvements to ultrasound-guided procedures. These include improving needle visualization, needle guides and localization technology, image processing algorithms to enhance and segment important features within the ultrasound image, robotic assistance using probe-mounted manipulators, and improving procedure ergonomics through in situ projections of important information. Probe-mounted robotic manipulators provide a promising avenue for assistive technology developed for freehand ultrasound-guided percutaneous procedures. However, there is currently a lack of clinical trials to validate the effectiveness of these devices.

Automatic identification of blood vessel cross-section for central venous catheter placement using a cascading classifier.

This paper presents a system that is able to automatically identify, segment, and track the cross-section of the internal jugular vein (IJV) and the common carotid artery (CCA) in an ultrasound image feed during a central venous catheter (CVC) placement procedure. The goal is to provide assistance to the practitioner in order to decrease the probability of complications stemming from inadvertent punctures of the CCA during the procedure. In the system, a modified Star algorithm is implemented to segment and track the blood vessel throughout an ultrasound video feed. A novel algorithm based on a cascading classifier is used to identify the location of the IJV and the CCA for two main tasks: (1) selecting the initial seed point at the start of tracking and (2) validating the segmentation results at each subsequent frame. The classifier uses shape features (vessel area, ellipse fitting error, vessel depth, vessel eccentricity) and pixel-based features (pixel intensity and the histogram of oriented gradients descriptor) to differentiate between vessel and non-vessel structures and also differentiate between the IJV and the CCA. Evaluated on a database of 800 ultrasound images containing the cross-section of both vessels, the cascading classifier was able to identify the IJV and the CCA in 92.25% and 85.13% of the images respectively without any initialization from the user at a maximum processing rate of 40.65 frames per second. This allows identification to be conducted in real-time with existing ultrasound machines.

Gabor-based automatic spinal level identification in ultrasound.

This paper presents an automatic lumbar spine level identification system based on image processing of ultrasound images. The goal is to aid anesthetists in identifying the correct spinal level during epidural anesthesia. Spine level identification is initiated by detecting the location of the sacrum using a classifier based on a support vector machine. Image stitching is then conducted to produce a panorama image of the spinal area. During this process, the location of spinal processes are enhanced using a Gabor filter and detected through template matching. The locations of the spinal processes are tracked and used as an overlay on the ultrasound image in real-time. The system then informs the anesthetists when the correct spinal level has been reached. The system was evaluated on forty volunteers by two anesthetists with varying experience level and was able to detect the correct position of the L3-L4 spinal level in all of the volunteers. The average time taken to produce the location of the L3-L4 spinal level was 30.92 seconds. The results show that the system can quickly and accurately detect the location of the target spinal level.