Comparative evaluation of pre and post operative functional outcomes determined by Lysholm knee score of patients undergoing arthroscopic anterior cruciate ligament reconstruction

Background: The anterior cruciate ligament (ACL) is the primary stabilizer of the knee joint and prevents the knee against anterior translation. After ACL tears, most patients experience recurrent episodes of instability (give way), pain and decreased function. Purpose of our study was to comparative evaluation of functional outcomes of pre and post operative patients after arthroscopic ACL reconstruction by using Lysholm knee score and its complications.Methods: This is a prospective interventional study which were included total 45 patients undergoing arthroscopic ACL reconstruction by using hamstring autograft. Postoperatively patients were followed up at 6, 9 and 12 months for functional assessment by using Lysholm knee score.Results: After ACL reconstruction increment in mean Lysholm knee score during follow up from 69.33 to 96.03 at final followup (p<0.001) which indicate that significant improvement in functional status of patients.Conclusions: Reconstruction of ACL leads the patient to return to a normal activity level and prevent the occurrence of associate meniscal injury and post-traumatic osteoarthritis. A regular followup based and well-organized rehabilitation program provide a key role in functional outcome of knee after ACL reconstruction

COMPUTATIONAL ISSUES FOR SIMULATING FINITE-RATE KINETICS IN LES

Abstract At present, large-eddy simulations (LES) of turbulent flames with multi-species finite-rate kinetics is computationally infeasible due to the enormous cost associated with computation of reaction kinetics in 3D flows. In a recent study, In-Situ Adaptive Tabulation (ISAT) and Artificial Neural Network (ANN) methodologies were developed for computing finiterate kinetics in a cost effective manner. Although ISAT reduces the cost of direct integration considerably, the ISAT tables require significant on-line storage in memory and can continue to grow over multiple flowthrough times (an essential feature in LES). Hence, direct use of ISAT in LES may not be practical, especially in parallel solvers. In this study, a storageefficient Artificial Neural Network (ANN) is investigated for LES application. Preliminary studies using ANN to predict freely propagating turbulent premixed flames over a range of operational parameters are described and issues regarding the implementation of such ANNs for engineering LES are discussed

Choosing Glucose-lowering Therapy: A Collaborative Choice Model

Diabetes care is challenging, and the increasing number of available therapeutic options has made it even more complex. Moreover, with an increasing prevalence across the world, it needs to be managed right from the primary care level to a quaternary care hospital. This calls for an easy-to-use algorithm that can be used by a general practitioner, who is often the first contact of a patient to manage diabetes in many countries. There are multiple models to assist in choice of pharmacotherapy, and these have evolved over time. We propose a user-friendly collaborative choice, as an aid to clinical decision-making. This alliterative framework supplements and strengthens existing guidance, by creating a comprehensive, yet simple, thought process for the diabetes care professional

Neurologic recovery in systemic nontraumatic fat embolism syndrome in an elderly patient with hemoglobin SC disease: A case report

Cerebral fat embolism syndrome is an under‐recognized yet well‐known complication of bone marrow necrosis occurring in patients with sickle cell disease. We highlight a case manifested by multisystem organ failure in an elderly patient who attained neurologic recovery with prompt initiation of hematology consultation, RBC exchange, and supportive measures

Incidence of Venous Thromboembolism in Critically Ill Coronavirus Disease 2019 Patients Receiving Prophylactic Anticoagulation

This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.Objectives: One of the defining features of the novel coronavirus disease 2019 infection has been high rates of venous thromboses. The present study aimed to describe the prevalence of venous thromboembolism in critically ill patients receiving different regimens of prophylactic anticoagulation. Design: Single-center retrospective review using data from patients with confirmed severe acute respiratory syndrome coronavirus 2 requiring intubation. Setting: Tertiary-care center in Indianapolis, IN, United States. Patients: Patients hospitalized at international units Health Methodist Hospital with severe acute respiratory syndrome coronavirus 2 requiring intubation between March 23, 2020, and April 8, 2020, who underwent ultrasound evaluation for venous thrombosis. Interventions: None. Measurements and Main Results: A total of 45 patients were included. Nineteen of 45 patients (42.2%) were found to have deep venous thrombosis. Patients found to have deep venous thrombosis had no difference in time to intubation (p = 0.97) but underwent ultrasound earlier in their hospital course (p = 0.02). Sequential Organ Failure Assessment scores were similar between the groups on day of intubation and day of ultrasound (p = 0.44 and p = 0.07, respectively). d-dimers were markedly higher in patients with deep venous thrombosis, both for maximum value and value on day of ultrasound (p < 0.01 for both). Choice of prophylactic regimen was not related to presence of deep venous thrombosis (p = 0.35). Ultrasound evaluation is recommended if d-dimer is greater than 2,000 ng/mL (sensitivity 95%, specificity 46%) and empiric anticoagulation considered if d-dimer is greater than 5,500 ng/mL (sensitivity 53%, specificity 88%). Conclusions: Deep venous thrombosis is very common in critically ill patients with coronavirus disease 2019. There was no difference in incidence of deep venous thrombosis among different pharmacologic prophylaxis regimens, although our analysis is limited by small sample size. d-dimer values are elevated in the majority of these patients, but there may be thresholds at which screening ultrasound or even empiric systemic anticoagulation is indicated.Dr. Khan’s institution received funding from the National Institutes of Health. The remaining authors have disclosed that they do not have any potential conflicts of interest

Obesity, inflammatory and thrombotic markers, and major clinical outcomes in critically ill patients with COVID‐19 in the US

OBJECTIVE: This study aimed to determine whether obesity is independently associated with major adverse clinical outcomes and inflammatory and thrombotic markers in critically ill patients with COVID-19. METHODS: The primary outcome was in-hospital mortality in adults with COVID-19 admitted to intensive care units across the US. Secondary outcomes were acute respiratory distress syndrome (ARDS), acute kidney injury requiring renal replacement therapy (AKI-RRT), thrombotic events, and seven blood markers of inflammation and thrombosis. Unadjusted and multivariable-adjusted models were used. RESULTS: Among the 4,908 study patients, mean (SD) age was 60.9 (14.7) years, 3,095 (62.8%) were male, and 2,552 (52.0%) had obesity. In multivariable models, BMI was not associated with mortality. Higher BMI beginning at 25 kg/m2 was associated with a greater risk of ARDS and AKI-RRT but not thrombosis. There was no clinically significant association between BMI and inflammatory or thrombotic markers. CONCLUSIONS: In critically ill patients with COVID-19, higher BMI was not associated with death or thrombotic events but was associated with a greater risk of ARDS and AKI-RRT. The lack of an association between BMI and circulating biomarkers calls into question the paradigm that obesity contributes to poor outcomes in critically ill patients with COVID-19 by upregulating systemic inflammatory and prothrombotic pathways

Maintaining Blood Glucose Levels in Range (70–150 mg/dL) is Difficult in COVID-19 Compared to Non-COVID-19 ICU Patients—A Retrospective Analysis

Beta cell dysfunction is suggested in patients with COVID-19 infections. Poor glycemic control in ICU is associated with poor patient outcomes. This is a single center, retrospective analysis of 562 patients in an intensive care unit from 1 March to 30 April 2020. We review the time in range (70–150 mg/dL) spent by critically ill COVID-19 patients and non-COVID-19 patients, along with the daily insulin use. Ninety-three in the COVID-19 cohort and 469 in the non-COVID-19 cohort were compared for percentage of blood glucose TIR (70–150 mg/dL) and average daily insulin use. The COVID-19 cohort spent significantly less TIR (70–150 mg/dL) compared to the non-COVID-19 cohort (44.4% vs. 68.5%). Daily average insulin use in the COVID-19 cohort was higher (8.37 units versus 6.17 units). ICU COVID-19 patients spent less time in range (70–150 mg/dL) and required higher daily insulin dose. A higher requirement for ventilator and days on ventilator was associated with a lower TIR. Mortality was lower for COVID-19 patients who achieved a higher TIR.Authors would like to acknowledge Chris C. Naum for his assistance with payment of the article processing fee

Mortality Rates in a Diverse Cohort of Mechanically Ventilated Patients With Novel Coronavirus in the Urban Midwest

Objectives: Differences in mortality rates previously reported in critically ill patients with coronavirus disease 2019 have increased the need for additional data on mortality and risk factors for death. We conducted this study to describe length of stay, mortality, and risk factors associated with in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019. Design: Observational study. Setting: Two urban, academic referral hospitals in Indianapolis, Indiana. Patients or Subjects: Participants were critically ill patients 18 years old and older, admitted with coronavirus disease 2019 between March 1, 2020, and April 27, 2020. Interventions: None. Measurements and Main Results: Outcomes included in-hospital mortality, duration of mechanical ventilation, and length of stay. A total of 242 patients were included with mean age of 59.6 years (sd, 15.5 yr), 41.7% female and 45% African American. Mortality in the overall cohort was 19.8% and 20.5% in the mechanically ventilated subset. Patients who died were older compared with those that survived (deceased: mean age, 72.8 yr [sd, 10.6 yr] vs patients discharged alive: 54.3 yr [sd, 14.8 yr]; p < 0.001 vs still hospitalized: 59.5 yr [sd, 14.4 yr]; p < 0.001) and had more comorbidities compared with those that survived (deceased: 2 [0.5–3] vs survived: 1 [interquartile range, 0–1]; p = 0.001 vs still hospitalized: 1 [interquartile range, 0–2]; p = 0.015). Older age and end-stage renal disease were associated with increased hazard of in-hospital mortality: age 65–74 years (hazard ratio, 3.1 yr; 95% CI, 1.2–7.9 yr), age 75+ (hazard ratio, 4.1 yr; 95% CI, 1.6–10.5 yr), and end-stage renal disease (hazard ratio, 5.9 yr; 95% CI, 1.3–26.9 yr). The overall median duration of mechanical ventilation was 9.3 days (interquartile range, 5.7–13.7 d), and median ICU length of stay in those that died was 8.7 days (interquartile range, 4.0–14.9 d), compared with 9.2 days (interquartile range, 4.0–14.0 d) in those discharged alive, and 12.7 days (interquartile range, 7.2–20.3 d) in those still remaining hospitalized. Conclusions: We found mortality rates in mechanically ventilated patients with coronavirus disease 2019 to be lower than some previously reported with longer lengths of stay.Drs. Perkins, Gao, and Khan are supported through National Institutes of Health (NIH)-National Institute on Aging (NIA) R01 AG 055391, R01 AG 052493, and National Heart, Lung, and Blood Institute R01 HL131730. Dr. Twigg is supported through NIH-NIA U01 AG060900. The remaining authors have disclosed that they do not have any potential conflicts of interest