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182 results on '"Agarwala, A. V."'

8. Ventilation and outcomes following robotic-assisted abdominal surgery: an international, multicentre observational study

Author

Queiroz, Veronica N.F., da Costa, Luis Guilherme V., Takaoka, Flavio, Pelosi, Paolo, de Abreu, Marcelo Gama, Schultz, Marcus J., Serpa Neto, Ary, Barbosa, R.P., Canet, J., Cata, J.P., Cesar, D.S., Chaves, R.C.F., D’Orto, U.C., Da Costa, L.G.V., De Baerdemaeker, L., Galdi, J.R., Gama de Abreu, M., Gottumukkala, V., Hemmes, S.N.T., Hollmann, M.W., Kalmar, A.F., Mariano, R., Matot, I., Mazzinari, G., Mills, G.H., Pelosi, P., Posso, I.P., Queiroz, V.N.F., Schultz, M.J., Serpa Neto, A., Sprung, J., Takaoka, F., Teruya, A., Vidal Melo, M.F., Agarwala, Aalok V., Akeroyd, Louise, Andorlini, Francesco, Anicetti, Lisa, Antonelli, Massimo, Arantes, Bruno S., Ariño Irujo, Jose J., Artsi, Hanna, Babian, Renata, Barbosa, Rogerio P., Barker, Doug, Basagni, Diletta, Basso, Nicola, Beltran, Joan, Bocciero, Vittorio, Bonatti, Giulia, Boriati, Ernesto, Bravo, Mauro, Brazzi, Luca, Brearton, Chris, Brennan, Andrew, Bulinski, Adam M., Cafagna, Sara, Cardoni, Andrea, Castelló Mora, Paula, Cata, Juan P., Cesar, Daniel S., Chaves, Renato CF., Chen, Lee-Lynn, Chukkambotla, Srikanth, Ciccozzi, Alessandra, Cilia, Danae, Cope, Sean, D’Orto, Ulisses C., Da Costa, Luis Guilherme V., Dalton, Claire, Davi, Alessandra, De Bonis, Marina del Barrio, De Gaudio, Angelo Raffaele, De Luca, Lucilla, Delgado, Carlos C., Deljou, Atousa, Di Ruscio, Cecilia, Droger, Sijgje M., Duberley, Stephen, Eidelman, Leonid A., Evans, Alison, Fabiani, Constanza, Fasciano, Umberto, Firth-Gieben, Jennifer, Fitchett, Jillian, Fundarò, Angela, Galdi, Jose Roberto, Gallo, Verdiana, Gavagni, Mattia, Gottumukkala, Vijaya, Graham, Chris, Granell Gil, Manuel, Gratarola, Angelo, Grillandini, Chiara, Groeben, Harald-Thomas, Ismail, Nesrine, Jacob, Reni, Jones, Chris, Jones, Rebecca, Kalmar, Alain F., Kapoor, Ritoo, Kelliher, Leigh, Köhne, Wiebke, Koopman, Joseph SHA., Lanka, Prasad, Lee, Jae-Woo, Liban, Bernard, Livi, Francesca, Mariano, Renato, Martinez Plumed, Ruth, Matot, Idit, Mazzella, Marta, McClure, Stewart, McMonagle, Martina, Mills, Gary H., Mirabella, Lucia, Monsalve, Concepción, Moon, Angela, Morchio, Laura, Morris, Frances, Motroni, Lorenzo, Mura, Benedetta, Nerini, Alessandro, Noumedem Sonna, Elodia C., Oakes, Neil, Orlandi, Marina, Paladini, Antonella, Patil, Anita, Patil, Vishal, Patrone, Valentina, Pinder, Angela, Piroli, Alba, Posso, Irimar P., Queiroz, Veronica NF., Rabbu, Yosef S., Rabenalt, Robert, Romagnoli, Stefano, Ronen, Ariel, Rothman, Felipe, Rusagara, Patrick, Russo, Andrea, Sabov, Moldovan, Saitta, Thomas, Shah, Nirav, Smith, Neil, Sollazzi, Liliana, Sprung, Juraj, Stewart, Emma, Stones, Elizabeth, Storton, Kim, Tena, Beatriz, Terreni, Eleonora, Teruya, Alexandre, Travaglia, Chiara, Treschan, Tanja A., Vanoverschelde, Henk, Venkatesh, Harish, Vidal Melo, Marcos F., Villa, Gianluca, Vossen, Robbert, Webber, Stephen, Weingarten, Toby N., Willcocks, Matt, Winslow, Luke, and Woods, Lindsey

Published
2021
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20. Trends in Response Rate to US News & World Report Best Hospitals Reputation Survey, 2015 to 2023.

Author

Xu, Lucy J., Rathi, Vinay K., Johns, Michael M., Agarwala, Aalok V., Varvares, Mark A., and Naunheim, Matthew R.

Abstract

Reputation score has been shown to be the strongest predictor of ranking in the US News & World Reports (USNWR) Best Hospitals report. However, the extent to which physicians participate in the underlying USNWR reputation survey is not well‐characterized. We conducted a retrospective cross‐sectional study of USNWR public methodology reports from 2015 to 2023 to characterize trends in physician response rates by specialty, region, and Doximity membership. Overall response rates declined between 2015 (24.0%) and 2023 (8.9%). In 2023, rates ranged from 4.7% (psychiatry) to 13.9% (otolaryngology). Otolaryngology had the highest response rate among all specialties between 2017 and 2023. Within otolaryngology, both response rates (25.0% to 13.9%) and count (2106 to 1724 physicians) declined between 2015 and 2023. Among Doximity members, response rates were consistently higher for otolaryngologists in the Northeast and Midwest compared to other regions. Though hospital rankings often influence where patients seek care, our findings suggest USNWR reputation scores may not be reliable or representative. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Patient and Visit Characteristics Associated With Otolaryngology Telemedicine Care.

Author

Miller, Lauren E., Xu, Lucy, Lorch, Alice C., Armstrong, Grayson W., Agarwala, Aalok V., and Naunheim, Matthew R.

Subjects
HEALTH services accessibility, OPERATIVE otolaryngology, CROSS-sectional method, MULTIVARIATE analysis, MEDICAL care, RETROSPECTIVE studies, PLASTIC surgery, RACE, DESCRIPTIVE statistics, MEDICAL appointments, HEALTH equity, SOCIODEMOGRAPHIC factors, TELEMEDICINE, MEDICAL specialties & specialists, MEDICARE
Abstract

Background: Clinicians are increasingly adopting telemedicine in an effort to expand patient access and efficiently deliver care. The degree of health disparities among patients receiving otolaryngologic telemedical care is unclear. Aims: We performed a retrospective cross-sectional study to explore disparities in telemedicine delivery. Methods: We evaluated otolaryngology clinical visits from January 2019 to November 2022. We obtained patient demographics and visit characteristics (e.g., subspecialty, telemedicine vs in-person). Our primary outcome was demographic characteristics of otolaryngology patients who received telemedicine vs in-person care during the study timeframe. Results: A total of 231,384 otolaryngology clinical visits were reviewed, of which 26,895 (11.6%) were telemedicine visits. Rhinology (36.5%) and facial plastics (28.4%) subspecialties performed the most telemedicine visits. On multivariate analysis, individuals who identified as Asian, non-English speaking, and with Medicare insurance were statistically significantly less likely to use telemedicine than in-person services. Conclusion: Our findings suggest that expanding telemedicine care may not improve access for all populations, and socioeconomic factors are important considerations to ensure patients are receiving equally accessible care. Futures studies are warranted to understand how these disparities may impact health outcomes and patient satisfaction with care. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Using Machine Learning to Predict Operating Room Case Duration: A Case Study in Otolaryngology.

Author

Miller, Lauren E., Goedicke, William, Crowson, Matthew G., Rathi, Vinay K., Naunheim, Matthew R., and Agarwala, Aalok V.

Abstract

Objective: Optimizing operating room (OR) efficiency depends on accurate case duration estimates. Machine learning (ML) methods have been used to predict OR case durations in other subspecialties. We hypothesize that ML methods improve projected case lengths over existing non‐ML techniques for otolaryngology–head and neck surgery cases. Methods: Deidentified patient information from otolaryngology surgical cases at 1 academic institution were reviewed from 2016 to 2020. Variables collected included patient, surgeon, procedure, and facility data known preoperatively so as to capture all realistic contributors. Available case data were divided into a training and testing data set. Several ML algorithms were evaluated based on best performance of predicted case duration when compared to actual case duration. Performance of all models was compared by the average root mean squared error and mean absolute error (MAE). Results: In total, 50,888 otolaryngology surgical cases were evaluated with an average case duration of 98.3 ± 86.9 minutes. Most cases were general otolaryngology (n = 16,620). Case features closely associated with OR duration included procedure performed, surgeon, subspecialty of case, and postoperative destination of the patient. The best‐performing ML models were CatBoost and XGBoost, which reduced operative time MAE by 9.6 minutes and 8.5 minutes compared to current methods, respectively. Discussion: The incorporation of other easily identifiable features beyond procedure performed and surgeon meaningfully improved our operative duration prediction accuracy. CatBoost provided the best‐performing ML model. Implications for Practice: ML algorithms to predict OR case time duration in otolaryngology can improve case duration accuracy and result in financial benefit. [ABSTRACT FROM AUTHOR]

Published
2023
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24. Representativeness of U.S. News & World Report Outcome and Volume Measures for Otolaryngology.

Author

Xu, Lucy J., Rathi, Vinay K., Johns, Michael M., Agarwala, Aalok V., Varvares, Mark A., and Naunheim, Matthew R.

Abstract

This article examines the representativeness of the outcome and volume measures used by U.S. News & World Report (USNWR) in their rankings of otolaryngology departments. The study found that the USNWR volume estimate accounted for only 10% of all adult admissions and outpatient procedures at an academic otolaryngology department, and did not adequately represent the overall case mix or caseload. The analysis also revealed significant differences between USNWR-eligible and ineligible admissions in terms of subspecialty and diagnosis. The findings raise concerns about the validity of USNWR's methods and suggest the need for incorporating quality metrics that better reflect the diversity of patients seeking otolaryngologic care. [Extracted from the article]

Published
2024
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27. Abstracts of posters presented at the symposium

Author

Maiya, Bhaskar G., Chauhan, S. M. S., Bhyrappa, P., Krishnan, V., Bhardwaj, P. K., Sarkar, Sabyasachi, Pandeya, Krishna B., Mathur, Pavan, Chakravarty, Akhil R., Das, Birinchi K., Behere, Digambar V., Modi, Sandeep, Mitra, Samaresh, Modi, Sandeep, Behere, Digambar V., Mitra, Samaresh, Saxena, Anil, Modi, Sandeep, Behere, Digambar V., Mitra, S., Mazumdar, Shyamalava, Medhi, Okhil K., Mitra, Samaresh, Mazumdar, Shyamalava, Mitra, Samaresh, Madan, Anup, Modi, Sandeep, Saxena, Anil, Behere, Digamber V., Mitra, S., Pandiyan, T., Palaniandavar, M., Narayanan, K. L., Manohar, H., Ramaraj, R., Thomas, C. C., Rajagopal, S., Rajendra, T., Srinivasan, C., Ramamurthy, P., Roy, R., Saha, M. C., Panchanan, S., Roy, P. S., Balagopalakrishna, C., Rajasekharan, M. V., Agarwala, B. V., Hingorani, S., Gowda, G. A. Nagena, Ramaswamy, Y. S., Halesha, R., Gowda, N. M. N., Reddy, G. K. N., Saxena, G. C., Gupta, K. L., Srivastava, P., Gupta, V. D., Ray, M., Mukherjee, R. N., Mohanty, R. N., Dash, K. C., Kapoor, Ramesh, Yadav, S., Sood, V., Kapoor, P., Anand, B. N., Bains, R., Usha, Aggarwal, K., Garge, P., Chikate, R., Padhye, S., Savariault, J. M., De Loth, P., Tuchgues, J. P., Jain, V. K., Vaidya, M. A., Jain, S. C., Kumar, S. Kalyan, Singh, Harkesh B., Mangaonkar, K. M., Patkar, D. N., Jha, N. K., Sharma, Pankaj, Date, S. K., Deshpande, C. E., Sathaye, S. D., Deshpande, S. B., Potdar, H. S., Darshane, V. S., Dash, A. C., Nanda, R. K., Das, N. N., Gangopadhyay, S., Banerjee, P., Kulshreshtha, S. K., Zacharias, P. S., Arulsamy, N., Ramasami, T., Subramanian, V., Nair, B. U., Kanthimathi, M., Sundararajan, G., Shivasubramanian, V., Bhattacharya, R. G., Biswas, S., Armstrong, J., Holt, E. M., and Koley, A. P.

Published
1990
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31. International multicenter observational study on assessment of ventilatory management during general anaesthesia for robotic surgery and its effects on postoperative pulmonary complication (AVATaR): study protocol and statistical analysis plan

Author

Queiroz, Veronica Neves Fialho, Da Costa, Luiz Guilherme Villares, Barbosa, Rogerio Póvoa, Takaoka, Flávio, De Baerdemaeker, Luc, Cesar, Daniel Souza, D'Orto, Ulisses Cardoso, Galdi, José Roberto, Gottumukkala, Vijaya, Cata, Juan P, Hemmes, Sabrine N T, Hollman, Markus W, Kalmar, Alain, De Moura, Lucas A B, Mariano, Renato M, Matot, Idit, Mazzinari, Guido, Mills, Gary H, Posso, Irimar De Paula, Teruya, Alexandre, Vidal Melo, Marcos Francisco, Sprung, Juraj, Weingarten, Toby N, Treschan, Tanja A, Koopman, Seppe, Eidelman, Leonid, Chen, Lee-Lynn, Lee, Jae-Woo, Ariño Irujo, Jose J, Tena, Beatriz, Groeben, Harald, Pelosi, Paolo, De Abreu, Marcelo Gama, Schultz, Marcus J, Neto, Ary Serpa, Catala, Juan, Bravo, Mauro, De Freitas, Renato Carneir, Felipe, Chaves, Bruno, Rothman, Arantes, Schuind, Hatanaka, Dina Mie, Beltran, Joan, Monsalve, Concepción, Droger, Sijgje Mari, Deljou, Atousa, Sabov, Moldovan, Rabbu, Yosef Sale, Del Barrio De Bonis, Marina, Babian, Renate, Rabenalt, Robert, Köhne, Wiebke, Ronen, Ariel, Agarwala, Aalok V., Granell, Manuel, Anesthesiology, Intensive Care Medicine, Graduate School, ACS - Diabetes & metabolism, ACS - Pulmonary hypertension & thrombosis, and ACS - Microcirculation

Subjects
Lung Diseases, Laparoscopic surgery, medicine.medical_specialty, PROSTATECTOMY, medicine.medical_treatment, Trendelenburg position, LAPAROSCOPIC SURGERY, Anesthesia, General, mechanical ventilation, general anesthesia, postoperative pulmonary complications, robotic surgery, Medicine (all), Anaesthesia, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Robotic Surgical Procedures, 030202 anesthesiology, Protocol, medicine, Medicine and Health Sciences, Humans, Multicenter Studies as Topic, Robotic surgery, General anaesthesia, 030212 general & internal medicine, Mechanical ventilation, Prostatectomy, business.industry, General surgery, General Medicine, Institutional review board, Respiration, Artificial, body regions, Observational Studies as Topic, Observational study, business
Abstract

IntroductionRobotic-assisted surgery (RAS) has emerged as an alternative minimally invasive surgical option. Despite its growing applicability, the frequent need for pneumoperitoneum and Trendelenburg position could significantly affect respiratory mechanics during RAS. AVATaR is an international multicenter observational study aiming to assess the incidence of postoperative pulmonary complications (PPC), to characterise current practices of mechanical ventilation (MV) and to evaluate a possible association between ventilatory parameters and PPC in patients undergoing RAS.Methods and analysisAVATaR is an observational study of surgical patients undergoing MV for general anaesthesia for RAS. The primary outcome is the incidence of PPC during the first five postoperative days. Secondary outcomes include practice of MV, effect of surgical positioning on MV, effect of MV on clinical outcome and intraoperative complications.Ethics and disseminationThis study was approved by the Institutional Review Board of the Hospital Israelita Albert Einstein. The study results will be published in peer-reviewed journals and disseminated at international conferences.Trial registration numberNCT02989415; Pre-results.

Published
2018

48. Mechanical Behavior of Be-Al Alloys

Author

NAVAL AIR WARFARE CENTER AIRCRAFT DIV PATUXENT RIVER MD, Lee, E. U., George, K. A., Agarwala, V. V., Sanders, H., London, G., NAVAL AIR WARFARE CENTER AIRCRAFT DIV PATUXENT RIVER MD, Lee, E. U., George, K. A., Agarwala, V. V., Sanders, H., and London, G.

Abstract

This study was conducted to identify the mechanical behavior of a wrought 62Be-38Al alloy and a cast 65Be-32Al-3Ni alloy. Tensile strength and elongation were measured at room and elevated temperatures. Fracture toughness was determined at room temperature. Fracture resistance was characterized in terms of stress-life (S-N) and crack growth rate-stress intensity range (da/dN-delta K) relations at room temperature. The resulting microstructures and crack paths of the aforementioned were also examined.

Published
2000

49. Mechanical Properties of Be-Al Alloys

Author

NAVAL AIR WARFARE CENTER AIRCRAFT DIV PATUXENT RIVER MD, Lee, E. U., George, K., Agarwala, V. V., Sanders, H., NAVAL AIR WARFARE CENTER AIRCRAFT DIV PATUXENT RIVER MD, Lee, E. U., George, K., Agarwala, V. V., and Sanders, H.

Abstract

This study was conducted to define the mechanical properties of a wrought 62Be-38Al alloy and a cast 65Be-32Al-3Ni alloy. The tensile strength and elongation were measured at room temperature, 66 degrees C (150 degrees F), 121 degrees C (250 degrees F), 177 degrees C (350 degrees F), and 232 degrees C (450 degrees F). The fracture toughness was determined at room temperature. The fatigue behavior was characterized in terms of stress-life (S-N) and crack growth rate - stress intensity range (da/dN-delta K) relations at room temperature. The microstructure was examined, and the crack path was identified for each mechanical testing.

Published
2000

50. Metallurgical Examination of a Damaged V-22 Hydraulic Line.

Author

NAVMAR INC WARMINSTER PA, Agarwala, V. V., Pregger, B. A., Frazier, W. E., NAVMAR INC WARMINSTER PA, Agarwala, V. V., Pregger, B. A., and Frazier, W. E.

Abstract

A preliminary metallurgical investigation of the damaged, Ti-3A1-2.5V, V-22 System 1 Pump Suction Tube of the V-22 Osprey aircraft, identified as 901-081-904-101, has been completed. The 1.0 inch (2.54 cm) diameter tube sustained localized damage where it was secured by a rubber clamp to the transmission. That portion of the tube was excised, sectioned, and examined using metallography and a Scanning Electron Microscope (S EM). Qualitative chemical analysis utilizing Energy Dispersive Spectroscopy (EDS) was performed on the clamp and alloy. Results obtained indicate that the damage was due to fretting. No conclusive evidence was found for corrosion, such as the presence of by-products or an alteration in microstructure. (MM)

Published
1995

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