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Recently the DAVID study demonstrated the better analgesic efficacy of tramadol hydrochloride/dexketoprofen 75/25mg (TRAM/DKP) over tramadol hydrochloride/paracetamol 75/650mg (TRAM/paracetamol) in a model of moderate to severe acute pain following surgical removal of an impacted third molar. The aim of this subpopulation analysis was to gain a deeper understanding of the relationship between baseline pain intensity (PI) level and the effectiveness in pain control of the TRAM/DKP combination in comparison with the TRAM/paracetamol combination. This will further improve and facilitate the accurate design of future acute pain studies for the use of the TRAM/DKP combination.
Patients experiencing at least moderate pain, defined as a PI score ≥ 4 in an 11-point numerical rating scale (NRS) were stratified according to NRS-PI at baseline (NRS ≥ 4, 5, 6, 7, or 8) or aggregated in two groups (i) moderate pain, NRS-PI ≥ 4 to ≤ 6; (ii) severe pain, NRS-PI > 6. Analgesic efficacy was assessed at pre-specified tif adverse drug reactions was not increased in the severe baseline PI group.
Overall, the results of this subgroup analysis of the DAVID study confirmed the superiority of the analgesic efficacy of TRAM/DKP vs TRAM/paracetamol, irrespective of the baseline PI.
Overall, the results of this subgroup analysis of the DAVID study confirmed the superiority of the analgesic efficacy of TRAM/DKP vs TRAM/paracetamol, irrespective of the baseline PI.
Esomeprazole delayed release tablets (ESO) are one of the most effective treatments for acid-related disorders. The purpose of this study is to compare the safety, pharmacokinetics (PK) and pharmacodynamics (PD) of an immediate-release capsule formulation containing esomeprazole 20mg and sodium bicarbonate 1100mg (IR-ESO) compared to those of the esomeprazole delayed release tablet 20mg (ESO). In addition, the impact of CYP2C19 gene polymorphisms on PK and PD was evaluated.
A single-center, open-label, randomized, 2-treatment, 2-sequence, and 2-period crossover study was conducted in 40 healthy Chinese subjects. Subjects received either IR-ESO or ESO for 5days. After single- and multiple-dosing administration, blood samples were collected for PK analysis, and intragastric pH was assessed by 24-h pH monitoring. The CYP2C19 gene polymorphisms were analyzed by Sanger sequencing.
The geometric mean ratios (90% confidence interval) [GMR (95%CI)] of IR-ESO/ESO for AUC
[single dose 103.60% (96.58%, 111.14%), gastric acidity from baseline were all within the range of 80.00-125.00%.
Chinese Clinical Trial Registry ChiCTR1900024935.
Chinese Clinical Trial Registry ChiCTR1900024935.
Among the variations of the right hepatic artery (RHA), the identification of an aberrant RHA arising from the gastroduodenal artery (GDA) is vital for avoiding damage to the RHA during surgery, since ligation of the GDA is necessary during pancreaticoduodenectomy (PD). However, this variation is not frequently reported. The purpose of this study was to focus on an aberrant RHA arising from the GDA, which was not noted in the classifications reported by Michels and Hiatt.
A total of 574 patients undergoing a PD between Jan 2001 and Dec 2015 at a tertiary care hospital in Switzerland (n = 366) and between Jan 2009 and May 2015 at a hospital in Japan (n = 208) were included in the analysis. Of these, preoperative CT angiography or/and MRI angiography findings were available for 532 patients. see more We retrospectively analyzed the hepatic artery variations, patient demographics, and surgical outcomes.
Among the 532 patients who received a PD, an RHA originating from the GDA was observed in 19 cases (3.5%). Eleven patients (2.1%) had both an aberrant RHA and an aberrant left hepatic artery (LHA) (Hiatt Type 4). Six patients (1.2%) had a replaced CHA arising from the SMA (Hiatt Type 5). We could, therefore, correctly identify the aberration in all cases.
We observed rarely reported but important aberrant RHA variations arising from the GDA. To prevent injury during PD in patients with this type of aberrant RHA, intensive preparations using CT and/or MRI imaging before surgery and intraoperative liver Doppler ultrasonography are considered to be essential.
We observed rarely reported but important aberrant RHA variations arising from the GDA. To prevent injury during PD in patients with this type of aberrant RHA, intensive preparations using CT and/or MRI imaging before surgery and intraoperative liver Doppler ultrasonography are considered to be essential.
Determination of resting energy expenditure (REE) is an important step for the nutritional and medical care of patients with chronic kidney disease (CKD). Methods such as indirect calorimetry or traditional predictive equations are costly or inaccurate to estimate REE of CKD patients. We aimed to develop and validate predictive equations to estimate the REE of non-dialysis dependent-CKD patients.
A database comprising REE measured by indirect calorimetry (mREE) of 170 non-dialysis dependent-CKDpatients was used to develop (n = 119) and validate (n = 51) a new REE-predictive equation. Fat free mass (FFM) was assessed by anthropometry and by bioelectrical impedance (BIA).
The multiple regression analysis generated three equations (1) REE (kcal/day) = 854 + 7.4*Weight + 179*Sex - 3.3*Age + 2.1 *eGFR + 26 (if DM) (R
= 0.424); (2) REE (kcal/day) = 678.3 + 14.07*FFM.ant + 54.8*Sex - 2*Age + 2.5*eGFR + 140.7* (if DM) (R
= 0.449); (3) REE (kcal/day) = 668 + 17.1*FFM.BIA - 2.7*Age - 92.7*Sex + 1.3*eGFR - 152.3 (if DM) (R
= 0.45). The estimated REE (eREE) was not different from the mREE (P = 0.181), a high ICC was found and the mean difference between mREE and eREE was not different from zero for the three equations in the validation group. eREE accuracy between 90 and 110% was observed in 55.3%, 62.5% and 61% of the patients for Eqs.(1), (2) and (3), respectively.
The equations showed acceptable accuracy for REE prediction making them a valuable tool to support practitioners to provide more reliable energy recommendations for this group of patients.
The equations showed acceptable accuracy for REE prediction making them a valuable tool to support practitioners to provide more reliable energy recommendations for this group of patients.
Website: https://www.selleckchem.com/products/uamc-3203.html
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