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The paper presents a novel framework for the prediction of the raised Intracranial Pressure (ICP) from ocular ultrasound images of traumatic patients through automated measurement of Optic Nerve Sheath Diameter (ONSD) and Eyeball Transverse Diameter (ETD). The measurement of ONSD using an ocular ultrasound scan is non-invasive and correlates with the raised ICP. However, the existing studies suggested that the ONSD value alone is insufficient to indicate the ICP condition. Since the ONSD and ETD values may vary among patients belonging to different ethnicity/origins, there is a need for developing an independent global biomarker for predicting raised ICP condition. The proposed work develops an automated framework for the prediction of raised ICP by developing algorithms for the automated measurement of ONSD and ETD values. It is established that the ONSD and ETD ratio (OER) is a potential biomarker for ICP prediction independent of ethnicity and origin. The OER threshold value is determined by performing statistical analysis on the data of 57 trauma patients obtained from the AIIMS, New Delhi. The automated OER is computed and compared with the conventionally measured ICP by determining suitable correlation coefficients. It is found that there is a significant correlation of OER with ICP (r = .81, p ≤ .01), whereas the correlation of ONSD alone with ICP is relatively less (r = .69, p = .004). These correlation values indicate that OER is a better parameter for the prediction of ICP. Further, the threshold value of OER is found to be 0.21 for predicting raised ICP conditions in this study. Scatter plot and Heat map analysis of OER and corresponding ICP reveal that patients with OER ≥ 0.21, have ICP in the range of 17 to 35 mm Hg. In the data available for this research work, OER ranges from 0.17 to 0.35.
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Hipertensão Intracraniana , Pressão Intracraniana , Humanos , Pressão Intracraniana/fisiologia , Nervo Óptico/diagnóstico por imagem , Olho , Hipertensão Intracraniana/diagnóstico por imagem , Ultrassonografia/métodos , BiomarcadoresRESUMO
Background: The main objective is to detect clinically significant conditions by transcranial ultrasound (TCS) in post-decompressive craniectomy (DC) patients who come to the emergency department. Materials and methods: This was a cross-sectional observational study. We studied 40 post-DC patients. After primary stabilization, TCS was done. Computer tomography of head was done within 2 hours of performing TCS. The correlation between both modalities were assessed by the measurement of lateral ventricle (LV) (Bland-Altman plot), Midline shift and mass lesion. Additionally, normal cerebral anatomy, 3rd and 4th ventricles and external ventricular drainage (EVD) catheter visualization were also done. Results: About 14/40 patients came with non-neurosurgical complaints and 26/40 patients came with neurosurgical complaints. Patients with non-neurosurgical complaints (4/14) had mass lesions and 1/14 had MLS. Patients with neurosurgical complaints (11/26) had mass lesions and about 5 patients had MLS. A good correlation was found between TCS and CT of head in measuring LV right (CT head = 17.4 ± 13.8 mm and TCS = 17.1 ± 14.8 mm. The mean difference (95% CI) = [0.28 (-1.9 to 1.33), ICC 0.93 (0.88-0.96)], Left [CT head = 17.8 ± 14.4 mm and TCS = 17.1 ± 14.2 mm, the mean difference (95% CI) 0.63 (-1.8 to 0.61), ICC 0.96 (0.93-0.98)], MLS [CT head = 6.16 ± 3.59 (n = 7) and TCS = 7.883 ± 4.17 (n = 6)] and mass lesions (kappa 0.84 [0.72-0.89] [95% CI] p-value < 0.001). The agreement between both modalities for detecting mass lesions is 93.75%. Conclusion: Point of care ultrasound (POCUS) is a bedside, easily operable, non-radiation hazard and dynamic imaging tool that can be used for TCS as a supplement to CT head in post-DC patients in emergency as well as in ICU. However, assessment of the ventricular system (pre/post-EVD insertion), monitoring of regression/progression of mass lesion, etc. can be done with TCS. Repeated scans are possible in less time which can decrease the frequency of CT head. How to cite this article: Chouhan R, Sinha TP, Bhoi S, Kumar A, Agrawal D, Nayer J, et al. Correlation between Transcranial Ultrasound and CT Head to Detect Clinically Significant Conditions in Post-craniectomy Patients Performed by Emergency Physician: A Pilot Study. Indian J Crit Care Med 2024;28(3):299-306.
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Plastic straws have become the poster child of waste associated with unnecessary single-use plastics. The visibility of straws littering the land and marine environments has influenced proposals to decrease the use of plastic straws. These include bans on plastic straws at the city, state, and national levels and by many corporations. However, most hospitals continue to use plastic straws in hospital dining areas and for patients. Hospital dining areas are like other public dining areas, so eliminating plastic straws should be straightforward. Regarding the use of straws by patients, we review evidence and propose that patients should not be routinely given straws. Instead, physicians and nursing staff should request straws depending on the patient's medical needs. Plastic straws make up only a tiny fraction of hospital waste but can be a catalyst to create awareness and decrease unnecessary plastic use in other areas of the hospital. Mitigating climate change requires a concerted effort from hospital leadership and healthcare providers. Only then will hospitals be able to fulfill their climate pledge of net zero emissions by 2050.
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Hospitais , Plásticos , Humanos , Assistência ao Paciente , PacientesRESUMO
BACKGROUND: Previous work demonstrated the beneficial effect of T6 dermatomal stimulation by the percutaneous method in managing obesity. However, a simple, cost-effective, and feasible intervention stimulating the dermatome can be a potential solution for obesity care. OBJECTIVE: The objective of this study was to find the effect of transcutaneous electrical nerve stimulation (TENS) of T6 dermatome on appetite and weight loss in obese individuals. MATERIAL AND METHODS: In this prospective single-arm experimental study, 20 obese patients received TENS treatment of T6 dermatome for 30 min, once a week and for 12 weeks. Outcome measures such as appetite level in the visual analog scale (VAS), weight in kg, and basal metabolic index (BMI) in kg/m2 were assessed at baseline, 12 weeks -post-intervention, and at 8 weeks of follow-up. RESULTS: A statistically significant difference in all the variables was found from baseline to 12 weeks of intervention (P < 0.001) and maintained till 8 weeks of follow-up. From pre- to post-treatment, the effect size for appetite reduction was large (>1) while for weight and BMI loss was (0.14, 0.16), respectively small. Additionally, a weak correlation was found between pre- and follow-up appetite and weight loss (r = 0.25, P = 0.294). CONCLUSIONS: Twelve weeks of TENS treatment of T6 dermatome showed a positive effect in reducing appetite with sustained reduction up to 8 weeks of follow-up even after completion of the intervention. However, in the absence of dietary modification, TENS treatment was associated with low effect sizes weight and BMI loss.
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Apetite , Obesidade , Estimulação Elétrica Nervosa Transcutânea , Redução de Peso , Humanos , Estimulação Elétrica Nervosa Transcutânea/métodos , Projetos Piloto , Redução de Peso/fisiologia , Obesidade/terapia , Adulto , Feminino , Masculino , Apetite/fisiologia , Pessoa de Meia-Idade , Estudos Prospectivos , Resultado do Tratamento , Índice de Massa CorporalRESUMO
Objectives: Midline shift (MLS) is a critical indicator of the severity of brain trauma and is even suggestive of changes in intracranial pressure. At present, radiologists have to manually measure the MLS using laborious techniques. Automatic detection of MLS using artificial intelligence can be a cutting-edge solution for emergency health-care personnel to help in prompt diagnosis and treatment. In this study, we sought to determine the accuracy and the prognostic value of our screening tool that automatically detects MLS on computed tomography (CT) images in patients with traumatic brain injuries (TBIs). Materials and Methods: The study enrolled TBI cases, who presented at the Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi. Institutional ethics committee permission was taken before starting the study. The data collection was carried out for over nine months, i.e., from January 2020 to September 2020. The data collection included head CT scans, patient demographics, clinical details as well as radiologist's reports. The radiologist's reports were considered the "gold standard" for evaluating the MLS. A deep learning-based three dimensional (3D) convolutional neural network (CNN) model was developed using 176 head CT scans. Results: The developed 3D CNN model was trained using 156 scans and was tested on 20 head CTs to determine the accuracy and sensitivity of the model. The screening tool was correctly able to detect 7/10 MLS cases and 4/10 non-MLS cases. The model showed an accuracy of 55% with high specificity (70%) and moderate sensitivity of 40%. Conclusion: An automated solution for screening the MLS can prove useful for neurosurgeons. The results are strong evidence that 3D CNN can assist clinicians in screening MLS cases in an emergency setting.
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BACKGROUND: Traumatic brain injury (TBI) is a leading cause of morbidity in all age groups worldwide. Decompressive craniectomy (DC) is a salvage procedure in patients with TBI. The outcome and quality of life following DC is questionable. Basal cisternostomy (BC) has been proposed to reduce edema and lead to brain relaxation. It was initially used as an adjunct in TBI patients, thereby improving outcomes. With gaining popularity among neurosurgeons, BC was used as a standalone approach in TBI patients. This network meta-analysis aims to analyze the role of BC either as an adjunct or as a standalone approach in managing TBI patients. METHODS: A comprehensive search of electronic databases (PubMed and SCOPUS) was performed using the search strategy using the field terms and medical subheading terms (MeSH Terms) to retrieve studies describing the role of BC in patients with TBI either as an adjunct with DC or standalone treatment and their outcome. RESULTS: Thirty-one articles were selected for full-text review and 18 articles were selected for the final analysis. BC alone group was found to have minimum in-hospital mortality (odds ratio [OR], 0.348; 95% credible interval [CrI], 0.254 to 0.477) followed by DC combined with BC group (OR, 0.645; 95% CrI, 0.476 to 0.875). DC combined with the BC group was found to have a minimum duration of mechanical ventilation (OR, 0.114; 95% CrI, 0.005 to 2.451) followed by the BC alone group (OR, 0.604; 95% CrI, 0.024 to 15.346). DC combined with the BC group were found to have the maximum Glasgow Outcome Scale score (OR, 1.661; 95% CrI, 0.907 to 3.041) followed by the BC alone group (OR, 1.553; 95% CrI, 0.907 to 3.041). CONCLUSIONS: Our analysis showed that BC alone was associated with lower in-hospital mortality rates in TBI patients. DC with BC had decreased the requirement of mechanical ventilation. However, larger multi-centric studies from other parts of the world are required to confirm these findings.
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PROTAC (proteolysis-targeting chimeras) is a rapidly evolving technology to target undruggable targets. The mechanism by which this happens is when a bifunctional molecule binds to a target protein and also brings an E3 ubiquitin ligase in proximity to trigger ubiquitination and degradation of the target protein. Yet, in-silico-driven approaches to design these heterobifunctional molecules that have the desired functional properties to induce proximity between the target protein and E3 ligase remain to be established. In this paper, we present a novel in-silico method for PROTAC design and to demonstrate the validity of our approach, we show that for a BRD4-VHL-PROTAC-mediated ternary complex known in the literature, we are able to reproduce the PROTAC binding mode, the structure of the ternary complex formed therein, and the free energy (ΔG) thermodynamics favoring ternary complexation through theoretical/computational methodologies. Further, we demonstrate the use of thermal titration molecule dynamics (TTMD) to differentiate the stability of PROTAC-mediated ternary complexes. We employ the proposed methodology to design a PROTAC for a new system of FGFR1-MDM2 to degrade the FGFR1 (fibroblast growth factor receptor 1) that is overexpressed in cancer. Our work presented here and named as PROTAC-Designer-Evaluator (PRODE) contributes to the growing literature of in-silico approaches to PROTAC design and evaluation by incorporating the latest in-silico methods and demonstrates advancement over previously published PROTAC in-silico literature.
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BACKGROUND: Ventilator dyssynchrony (VD) can worsen lung injury and is challenging to detect and quantify due to the complex variability in the dyssynchronous breaths. While machine learning (ML) approaches are useful for automating VD detection from the ventilator waveform data, scalable severity quantification and its association with pathogenesis and ventilator mechanics remain challenging. OBJECTIVE: We develop a systematic framework to quantify pathophysiological features observed in ventilator waveform signals such that they can be used to create feature-based severity stratification of VD breaths. METHODS: A mathematical model was developed to represent the pressure and volume waveforms of individual breaths in a feature-based parametric form. Model estimates of respiratory effort strength were used to assess the severity of flow-limited (FL)-VD breaths compared to normal breaths. A total of 93,007 breath waveforms from 13 patients were analyzed. RESULTS: A novel model-defined continuous severity marker was developed and used to estimate breath phenotypes of FL-VD breaths. The phenotypes had a predictive accuracy of over 97% with respect to the previously developed ML-VD identification algorithm. To understand the incidence of FL-VD breaths and their association with the patient state, these phenotypes were further successfully correlated with ventilator-measured parameters and electronic health records. CONCLUSION: This work provides a computational pipeline to identify and quantify the severity of FL-VD breaths and paves the way for a large-scale study of VD causes and effects. This approach has direct application to clinical practice and in meaningful knowledge extraction from the ventilator waveform data.
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Lesão Pulmonar , Humanos , Ventiladores Mecânicos , Pulmão/fisiologia , Respiração Artificial/métodosRESUMO
BACKGROUND: Craniovertebral junction (CVJ) tumors are challenging due to their unique anatomical location. This study aimed to evaluate the complexities in dealing with such precarious CVJ extradural lesions over the decade. METHODS: Twenty-seven patients of extradural CVJ tumors operated between 2009 and 2018 were included. The demographic details, neurological status, surgical approach, extent of resection, type of fixation, complications, and outcome at final follow-up were recorded for each patient. RESULTS: The mean age of the patients was 39.5 ± 20 years. Most (17/27) of the patients had involvement of a single level. Clivus was the most common (9/17) involved region followed by atlas (7/17) vertebrae. Majority of the patients (13/27) were operated through the posterior-only approach. About 15 patients (55.5%) had instability or extensive lesions that necessitated posterior fixation. None of the patients underwent anterior fixation. Gross and near total excision were achieved in 10 patients (37%) and 3 patients (11%) respectively while 14 patients underwent subtotal excision of tumor. On histopathological analysis, clival chordoma (8/27) was found to be the most common pathology followed by giant cell tumor (6/27), plasmacytoma (4/27), and multiple myeloma (2/27). Most patients (13 out of 27) had the same neurological status after the surgery. Six patients (22%) improved post-operatively with decreased weakness and spasticity. Thirteen (48%) patients underwent adjuvant radiotherapy. CONCLUSIONS: This retrospective study provides valuable insights into managing extradural CVJ tumors and highlights the importance of individualized approaches for optimal outcome.
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BACKGROUND: In neurosurgical practice, continuous care after discharge and the ability to detect subtle indicators of clinical deterioration are mandatory to prevent the progression of a disease. The care of 'unknown' patients discharged to rehabilitation homes may not have this privilege, especially in resource-poor countries such as India. OBJECTIVE: We have attempted to study the causes and outcomes of re-admissions of 'unknown' patients with previous traumatic brain injury (TBI) to estimate the quality of nursing care in our rehabilitation centers. MATERIAL AND METHODS: The electronic hospital records of all consecutive 'unknown' TBI patients with unplanned re-admissions at our institute from January 2014 to December 2018 were retrospectively reviewed and analyzed for the factors determining the risk and outcomes of re-admission. RESULTS: Out of 245 patients sent to rehabilitation homes at discharge, 47 patients (19.18%) were re-admitted. A total of 33 patients (70%) were re-admitted between 1 month and 1 year. Out of these, 38 patients (80.9%) were re-admitted because of preventable causes. Fifteen patients (31.9%) died during the hospital stay. The rest of the 32 (68%) patients were discharged after the management of the concerned condition with an average hospital stay of 9 ± 11.1 days. The average Glasgow coma scale (GCS) at re-admission of the patients who died was 6 (range 3-11). Two patients were brought in the brain dead status, whereas 20 patients (42.6%) had a GCS of 5 or below at the time of re-admission. The risk of mortality among patients with non-preventable causes was 88.9% (8/9) compared to preventable causes 18.4% (7/38). However, preventable causes for re-admission are much more common, resulting in nearly a similar overall contribution to mortality. CONCLUSIONS: There is a high rate of mortality and morbidity in 'unknown' patients with TBI because of poor post-discharge care in developing countries. Because preventable causes are the major contributor to re-admissions, the re-admission rate is a good indicator of a lack of adequate rehabilitative services. The need for improving the post-discharge management of 'unknown' patients with TBI in resource-poor countries cannot be over-emphasized.