Estimated means and sample means of selected 2-class model, which were named improvers and non-improvers for recovery trajectory: 1 good recovering class and 1 fairly poor recovering class. (HOS-ADL, Hip Outcome ScoreeActivities of Daily Life.)

Estimated means and sample means of selected 2-class model, which were named improvers and non-improvers for recovery trajectory: 1 good recovering class and 1 fairly poor recovering class. (HOS-ADL, Hip Outcome ScoreeActivities of Daily Life.)

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Purpose To analyze whether subgroups of patients could be distinguished with different functional recovery trajectories after hip arthroscopy for femoroacetabular impingement (FAI) syndrome and to identify differences between those subgroups using data from our prospective cohort registration. Methods We retrospectively reviewed the prospectively...

Contexts in source publication

Context 1
... the basis of these criteria, we chose the 2-class GMM as our final model in recovery trajectory. Although the fit statistics continued to decrease up to the 6-class model, this decrease already started to flatten out from the 2-class model and upward (Fig 1). This finding indicates that from the 3-class model and further upward, the new classes did not increase the clinical meaningfulness of the model because they were mostly slight variations of the classes from the 2-class model. ...
Context 2
... estimations of the factor loadings (i.e., the percentages at 3 and 12 months of the total change) are therefore unreliable; these models were not suitable for our data (Table 4). Adding more classes to the 2-class model did not improve the model; therefore, we chose the 2-class model, as shown in Fig 1. ...

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Citations

... SPSS is very useful in data analysis [6]. e pain problem before and after surgery has been widely discussed by scholars, and mathematical analysis is gradually used more frequently [7][8][9]. Many studies have discussed rotator cuff sutures with the method of mathematical analysis [10][11][12]. ...
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In this study, the matched case-control study was used. Nineteen cases of severe pain in the early postoperative period among 55 patients were set as the observation group, and 57 cases of simultaneous rotator cuff repair without severe pain were matched in a 1 : 3 ratio as the control group. Patients’ general information, disease characteristics, anesthesia and analgesia scheme, and operation information were collected. Frequency statistics, Wilcoxon signed rank sum test, regulatory effect analysis, and Poisson regression analysis were performed on these data. Some findings are included in the analysis. (1) There was a markable difference of 0.01 between the preoperative 48 h maximum pain value and the postoperative 48 h maximum pain value in the observation group. (2) There was a markable difference of 0.01 between the size and shape of the wound tear and the maximum pain value at 48 h after operation in the observation group. (3) When the number of opioid use affected the maximum pain value at 48 h after operation, the regulatory variables (type, quantity, and number of days of postoperative analgesics) were at different levels, and the impact amplitude had markable differences. (4) Age has a markable negative impact on the postoperative hospital stay. (5) The operation duration has a markable positive relationship with the postoperative hospital stay. (6) The analgesic pump had a markable positive impact on the postoperative hospital stay. (7) The location of injury did not affect the postoperative hospital stay.