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Gao Q, Henley A, Noël G, Der Khatchadourian Z, Taqi D, Abusamak M, He Z, Grœn S, Taher R, Menassa K, Velly A, Emami E, Mongeau L, Tamimi F. Needle-free Mental Incisive Nerve Block:In vitro, Cadaveric, and Pilot Clinical Studies. Int J Pharm 2021; 609:121197. [PMID: 34666143 DOI: 10.1016/j.ijpharm.2021.121197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/29/2021] [Accepted: 10/10/2021] [Indexed: 12/14/2022]
Abstract
The present study aimed to optimize Needle-Free Liquid Jet Injection (NFLJI) for Mental Incisive Nerve Blocks (MINB) and evaluate its clinical safety and feasibility. A MINB protocol was developed and optimized by series of NFLJI experiments in soft tissue phantoms and cadavers, then validated in two pilot Randomized Controlled Trials (RCT). The NFLJI penetration depth was found to be directly proportional to the supply pressure and volume. High-pressure NFLJIs (620 kPa or above) created maximum force and total work significantly greater than needle injections. Low-pressure NFLJIs (413 kPa), however, produced results similar to those of needle injections. Additionally, high-pressure NFLJIs created jet impingement pressure and maximum jet penetration pressure higher than low-pressure NFLJIs. Pilot RCTs revealed that high-pressure NFLJI caused a high risk of discomfort (60%) and paresthesia (20%); meanwhile, low-pressure NFLJI was less likely to cause complications (0%). The preliminary success rates of MINB from cadavers using NFLJIs and needles were 83.3% and 87.5%. In comparison, those from RCTs are 60% and 70%, respectively. To conclude, NFLJI supply pressure can be adjusted to achieve effective MINB with minimal complications. Furthermore, the cadaver study and pilot RCTs confirmed the feasibility for further non-inferiority RCT.
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Affiliation(s)
- Qiman Gao
- Faculty of Dentistry, McGill University, Montreal, Canada; Department of Mechanical Engineering, McGill University, Montreal, Canada
| | - Anna Henley
- Department of Mechanical Engineering, McGill University, Montreal, Canada
| | - Geoffroy Noël
- Faculty of Dentistry, McGill University, Montreal, Canada; Department of Anatomy and Cell Biology, McGill University, Montreal, Canada
| | | | - Doaa Taqi
- Faculty of Dentistry, McGill University, Montreal, Canada
| | | | - Zixin He
- Department of Mechanical Engineering, McGill University, Montreal, Canada
| | - Swen Grœn
- Department of Mechanical Engineering, McGill University, Montreal, Canada
| | - Rani Taher
- College of Engineering and Technology, American University of the Middle East, Kuwait
| | - Karim Menassa
- Medical International Technology Canada Inc, Montreal, Canada
| | - Ana Velly
- Faculty of Dentistry, McGill University, Montreal, Canada; Lady Davis Institute, Department of Dentistry, SMBD, Jewish General Hospital, Montreal, Canada
| | - Elham Emami
- Faculty of Dentistry, McGill University, Montreal, Canada
| | - Luc Mongeau
- Department of Mechanical Engineering, McGill University, Montreal, Canada.
| | - Faleh Tamimi
- College of Dental Medicine, QU Health, Qatar University, Doha, Qatar.
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Diaz FJ. Using population crossover trials to improve the decision process regarding treatment individualization in N-of-1 trials. Stat Med 2021; 40:4345-4361. [PMID: 34213011 PMCID: PMC10773237 DOI: 10.1002/sim.9030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 03/26/2021] [Accepted: 04/25/2021] [Indexed: 11/08/2022]
Abstract
Healthcare researchers are showing renewed interest in the utilization of N-of-1 clinical trials for the individualization of pharmacological treatments. Here, we propose a frequentist approach to conducting treatment individualization in N-of-1 trials that we call "partial empirical Bayes." We infer the most beneficial treatment for the patient from combining the information provided by a previously conducted population crossover trial with individual patient data. We propose a method for estimating an optimal number of treatment cycles and investigate the statistical conditions under which N-of-1 trials are more beneficial than traditional clinical approaches. We represent the patient population with a random-coefficients linear model and calculate estimators of posttreatment individual disease severities. We show the estimators' consistency under the most common N-of-1 designs and examine their prediction errors and performance with small numbers of patient's responses. We demonstrate by simulating new patients that our approach is equivalent or superior to both the common clinical practice of recommending the on-average best treatment for all patients and the common individualization method that simply compares average responses to the tested treatments. We conclude that some situations exist in which individualization with N-of-1 trials is highly beneficial while other situations exist in which individualization may be unfruitful.
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Affiliation(s)
- Francisco J Diaz
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, Kansas, USA
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Needle-free injection: Dental infiltration anesthesia. Int J Pharm 2021; 604:120765. [PMID: 34087413 DOI: 10.1016/j.ijpharm.2021.120765] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 05/22/2021] [Accepted: 05/30/2021] [Indexed: 11/21/2022]
Abstract
This study aimed to develop an optimal Needle-Free Liquid Jet Injection (NFLJI) technique for dental infiltration anesthesia and evaluate its clinical safety and feasibility. The fluid dynamics of NFLJI in the dentoalveolar region were investigated using soft tissue phantoms supported by rigid glass. NFLJIs were performed at different incident angles and recorded using a high-speed camera. Accordingly, an optimal NFLJI for infiltration anesthesia was developed and validated on cadavers, then assessed in two pilot Randomized Controlled Trials (RCT): one for validating the safety of optimal NFLJI technique, the other for evaluating its feasibility and safety. High-speed videos showed that perpendicular NFLJIs induced significantly more regurgitation than oblique NFLJIs, which was confirmed in cadavers. Clinical trials revealed that perpendicular NFLJIs induced a high risk of bleeding (83.3%) and laceration (83.3%), whereas oblique NFLJIs induced a low risk of bleeding (33.3%) and laceration (16.7%). Moreover, the preliminary success rates of oblique NFLJIs and needle injections were both 83.3%. The recruitment took 3-5 weeks with a rate of 100%. Oblique NFLJIs could be a promising approach for dental infiltration anesthesia, causing minimal drug regurgitation with a relatively low risk of complication. The pilot RCTs confirmed the feasibility for conducting a non-inferiority RCT.
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Lui KJ. Sample size determination for testing equality in frequency data under an incomplete block crossover design. J Appl Stat 2017. [DOI: 10.1080/02664763.2017.1380788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Kung-Jong Lui
- Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, CA, USA
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Lui KJ. Testing Equality of Treatments under an Incomplete Block Crossover Design with Ordinal Responses. Int J Biostat 2017; 13:/j/ijb.ahead-of-print/ijb-2016-0069/ijb-2016-0069.xml. [PMID: 28160542 DOI: 10.1515/ijb-2016-0069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The generalized odds ratio (GOR) for paired sample is considered to measure the relative treatment effect on patient responses in ordinal data. Under a three-treatment two-period incomplete block crossover design, both asymptotic and exact procedures are developed for testing equality between treatments with ordinal responses. Monte Carlo simulation is employed to evaluate and compare the finite-sample performance of these test procedures. A discussion on advantages and disadvantages of the proposed test procedures based on the GOR versus those based on Wald's tests under the normal random effects proportional odds model is provided. The data taken as a part of a crossover trial studying the effects of low and high doses of an analgesic versus a placebo for the relief of pain in primary dysmenorrhea over the first two periods are applied to illustrate the use of these test procedures.
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Lui KJ, Chang KC, Lin CD. Testing equality and interval estimation of the generalized odds ratio in ordinal data under a three-period crossover design. Stat Methods Med Res 2015; 26:1165-1181. [PMID: 25670748 DOI: 10.1177/0962280215569623] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The crossover design can be of use to save the number of patients or improve power of a parallel groups design in studying treatments to noncurable chronic diseases. We propose using the generalized odds ratio for paired sample data to measure the relative effects in ordinal data between treatments and between periods. We show that one can apply the commonly used asymptotic and exact test procedures for stratified analysis in epidemiology to test non-equality of treatments in ordinal data, as well as obtain asymptotic and exact interval estimators for the generalized odds ratio under a three-period crossover design. We further show that one can apply procedures for testing the homogeneity of the odds ratio under stratified sampling to examine whether there are treatment-by-period interactions. We use the data taken from a three-period crossover trial studying the effects of low and high doses of an analgesic versus a placebo for the relief of pain in primary dysmenorrhea to illustrate the use of these test procedures and estimators proposed here.
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Affiliation(s)
- Kung-Jong Lui
- 1 Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, USA
| | - Kuang-Chao Chang
- 2 Department of Statistics and Information Science, Fu-Jen Catholic University, Taipei, Taiwan, ROC
| | - Chii-Dean Lin
- 1 Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, USA
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