| Literature DB >> 32490428 |
Stephen Gates1, Ivy Nguyen1, Michael Del Core1, Paul A Nakonezny2, Hallie Bradley1, Michael Khazzam1.
Abstract
BACKGROUND: To our knowledge, the rate of positive intraoperative cultures in patients undergoing primary shoulder arthroplasty with prior ipsilateral nonarthroplasty shoulder surgery is unknown. The aim of this study was to determine the incidence and predictors of positive cultures in these patients.Entities:
Keywords: Cutibacterium acnes; Shoulder arthroplasty; infection; periprosthetic shoulder infection; prevention; tissue culture
Year: 2020 PMID: 32490428 PMCID: PMC7256896 DOI: 10.1016/j.jseint.2019.12.011
Source DB: PubMed Journal: JSES Int ISSN: 2666-6383
Figure 1Flow diagram for patient inclusion.
Demographic and clinical characteristics of patients with and without positive cultures during shoulder arthroplasty
| Characteristic | Overall sample (N = 83) | Positive cultures (n = 37) | No positive cultures (n = 46) | |
|---|---|---|---|---|
| Demographics | ||||
| Age, yr, M (SD) | 64.20 (10.91) | 63.78 (12.84) | 64.54 (9.20) | .76 |
| Male sex, n (%) | 54 (65.06) | 27 (72.97) | 27 (58.70) | .25 |
| White, non-Hispanic, n (%) | 76 (91.57) | 33 (89.19) | 43 (93.48) | .67 |
| Patient factors | ||||
| Currently a smoker, n (%) | 11 (13.25) | 04 (10.81) | 07 (15.22) | .75 |
| BMI, M (SD) | 29.82 (5.06) | 30.07 (5.18) | 29.61 (5.01) | .69 |
| Total number of medical problems, M (SD) | 1.41 (1.25) | 1.48 (1.17) | 1.34 (1.32) | .62 |
| History of ipsilateral shoulder infection, n (%) | 05 (6.02) | 05 (13.51) | 0 (0.00) | .015 |
| Type of previous shoulder surgery, n (%) | .58 | |||
| Arthroscopic | 61 (79.22) | 25 (75.76) | 36 (81.82) | |
| Open | 16 (20.78) | 08 (24.24) | 08 (18.18) | |
| Number of ipsilateral shoulder surgeries, M (SD) | 1.43 (0.87) | 1.32 (0.53) | 1.52 (1.07) | .28 |
| Duration between surgeries, years, M (SD) | 9.69 (10.05) | 9.51 (9.48) | 9.85 (10.62) | .89 |
| Comorbidities, n (%) | ||||
| Type 2 diabetes | 22 (26.51) | 10 (27.03) | 12 (26.09) | >.99 |
| Rheumatoid arthritis | 05 (6.02) | 02 (5.41) | 03 (6.52) | >.99 |
| Thyroid disease | 14 (16.87) | 04 (10.81) | 10 (21.74) | .24 |
| Hepatitis C | 06 (7.23) | 03 (8.11) | 03(6.52) | >.99 |
| Heart disease | 17 (20.48) | 11 (29.73) | 06 (13.04) | .10 |
| Laboratory values, n (%) | ||||
| Elevated preoperative CRP | 11 (21.15) | 06 (25.00) | 05 (17.86) | .75 |
| Elevated preoperative ESR | 10 (23.26) | 05 (21.74) | 05 (25.00) | >.99 |
| Elevated preoperative WBC count | 02 (2.60) | 00 (0.00) | 02 (4.76) | .50 |
M, sample mean; SD, standard deviation; BMI, body mass index; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; WBC, white blood cell.
Positive culture was operationalized as the presence of at least 1 positive culture. The P value (2-tailed) is associated with the test of Group differences (positive cultures vs. no presence of positive cultures) on each characteristic; t test was used for continuous variables and Fisher exact test was used for categorical variables. Duration between surgeries = time (years) between first shoulder surgery and first shoulder arthroplasty.
False discovery rate = 0.27.
Multiple logistic regression model for predictors of positive culture
| Model outcome and predictor variables | Bootstrapped parameter estimates | ||||||
|---|---|---|---|---|---|---|---|
| Mean estimate | SD | 95% CI for estimate | Mean OR | 95% CI for OR | Standardized estimate | Mean AUC | |
| Positive culture (positive vs. negative) | 0.6468 | ||||||
| Intercept | –0.9999 | 0.4565 | –1.9938, –0.1910 | 0 | |||
| Sex (male vs. female) | 0.9239 | 0.5324 | –0.0369, 2.0254 | 2.5191 | 0.9637, 7.5791 | 0.2098 | |
| History of ipsilateral shoulder infection (yes vs. no) | 3.0423 | 0.6175 | 1.7135, 4.2081 | 20.9533 | 5.5483, 67.2287 | 0.4233 | |
SD, standard deviation; OR, odds ratio; AUC, area under the curve.
The parameter estimates were based on 10,000 bootstrap samples of the logistic regression model, with penalized maximum likelihood estimation along with Firth's bias correction. The mean and variance were estimated on the logarithmic scale and represent log odds; 95% CI for the mean parameter estimate. For the 95% CI for estimate that does not contain zero (0), the respective mean parameter estimate is statistically significant at alpha = 0.05. Observed sample, N = 83.
Predictor variables for the model were selected from a pool of 10 potential predictor variables via SAS's PROC HPREDUCE to perform supervised variable selection and then implemented in the context of a penalized logistic regression model that was based on 10,000 bootstrap samples.
Multiple negative binomial regression model for predictors of number of positive cultures
| Model outcome and predictor variables | Bootstrapped parameter estimates | ||||
|---|---|---|---|---|---|
| Mean estimate | SD | 95% CI for mean estimate | GM | 95% CI for GM | |
| Number of positive cultures | |||||
| Intercept | –0.9585 | 0.3852 | –1.7492, –0.3629 | 0.3834 | 0.1739, 0.6956 |
| Sex (male vs. female) | 0.8912 | 0.4089 | 0.2239, 1.7248 | 2.4381 | 1.2509, 5.6114 |
| History of ipsilateral shoulder infection (yes vs. no) | 1.2515 | 0.3451 | 0.7339, 1.9871 | 3.4955 | 2.0832, 7.2943 |
SD, standard deviation; CI, confidence interval; GM, geometric mean (natural antilogarithm of the ln mean estimate).
The parameter estimates were based on 10,000 bootstrap samples of the negative binomial model. The mean and variance were estimated on the logarithmic scale. For the 95% CI that does not contain zero, the respective mean parameter estimate is statistically significant at alpha = 0.05. Observed sample, N = 83.
Predictor variables for the model were selected from a pool of 10 potential predictor variables via SAS's PROC HPREDUCE to perform supervised variable selection and then implemented in the context of a negative binomial model that was based on 10,000 bootstrap samples.