Establishing minimum clinically important difference values for the Patient-Reported Outcomes Measurement Information System Physical Function, hip disability and osteoarthritis outcome score for joint reconstruction, and knee injury and osteoarthritis outcome score for joint reconstruction in orthopaedics

AIM

To establish minimum clinically important difference (MCID) for measurements in an orthopaedic patient population with joint disorders.

METHODS

Adult patients aged 18 years and older seeking care for joint conditions at an orthopaedic clinic took the Patient-Reported Outcomes Measurement Information System Physical Function (PROMIS^® PF) computerized adaptive test (CAT), hip disability and osteoarthritis outcome score for joint reconstruction (HOOS JR), and the knee injury and osteoarthritis outcome score for joint reconstruction (KOOS JR) from February 2014 to April 2017. MCIDs were calculated using anchor-based and distribution-based methods. Patient reports of meaningful change in function since their first clinic encounter were used as an anchor.

RESULTS

There were 2226 patients who participated with a mean age of 61.16 (SD = 12.84) years, 41.6% male, and 89.7% Caucasian. Mean change ranged from 7.29 to 8.41 for the PROMIS^® PF CAT, from 14.81 to 19.68 for the HOOS JR, and from 14.51 to 18.85 for the KOOS JR. ROC cut-offs ranged from 1.97-8.18 for the PF CAT, 6.33-43.36 for the HOOS JR, and 2.21-8.16 for the KOOS JR. Distribution-based methods estimated MCID values ranging from 2.45 to 21.55 for the PROMIS^® PF CAT; from 3.90 to 43.61 for the HOOS JR, and from 3.98 to 40.67 for the KOOS JR. The median MCID value in the range was similar to the mean change score for each measure and was 7.9 for the PF CAT, 18.0 for the HOOS JR, and 15.1 for the KOOS JR.

CONCLUSION

This is the first comprehensive study providing a wide range of MCIDs for the PROMIS^® PF, HOOS JR, and KOOS JR in orthopaedic patients with joint ailments.

Psychometric evaluation of the PROMIS Physical Function Computerized Adaptive Test in comparison to the American Shoulder and Elbow Surgeons score and Simple Shoulder Test in patients with rotator cuff disease

BACKGROUND

The Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Computerized Adaptive Test (PF CAT) is a newly developed patient-reported outcome instrument designed by the National Institutes of Health to measure generalized physical function. However, the measurement properties of the PF CAT have not been compared with established shoulder-specific patient-reported outcomes.

METHODS

Patients with clinical diagnosis of rotator cuff disease completed the American Shoulder and Elbow Surgeons (ASES) score, Simple Shoulder Test (SST), and PF CAT. Responses to each of the 3 instruments were statistically analyzed with a Rasch partial credit model. Associations between instruments, convergent validity, item and person reliability, ceiling and floor effects, dimensionality, and survey length were determined.

RESULTS

Responses from 187 patients were analyzed. The PF CAT required fewer questions than the ASES or SST (PF CAT, 4.3; ASES, 11; SST, 12). Correlation between all instruments was moderately high. Item reliability was excellent for all instruments, but person reliability of the PF CAT was superior (0.93, excellent) to the SST (0.71, moderate) and ASES (0.48, fair). Ceiling effects were similar among all instruments (PF CAT, 0.53%; SST, 6.1%; ASES, 2.3%). Floor effects were found in 21% of respondents to the SST but in only 3.2% of PF CAT and 2.3% of ASES respondents.

CONCLUSION

The measurement properties of the PROMIS PF CAT compared favorably with the ASES and SST despite requiring fewer questions to complete. The PROMIS PF CAT had improved person reliability compared with the ASES score and fewer floor effects compared with the SST.

PROMIS and FAAM Minimal Clinically Important Differences in Foot and Ankle Orthopedics

BACKGROUND:

Establishing score points that reflect meaningful change from the patient perspective is important for interpreting patient-reported outcomes. This study estimated the minimum clinically important difference (MCID) values of 2 Patient-Reported Outcomes Measurement Information System (PROMIS) instruments and the Foot and Ankle Ability Measure (FAAM) Sports subscale within a foot and ankle orthopedic population.

METHODS:

Patients seen for foot and ankle conditions at an orthopedic clinic were administered the PROMIS Physical Function (PF) v1.2, the PROMIS Pain Interference (PI) v1.1, and the FAAM Sports at baseline and all follow-up visits. MCID estimation was conducted using anchor-based and distribution-based methods.

RESULTS:

A total of 3069 patients, mean age of 51 years (range = 18-94), were included. The MCIDs for the PROMIS PF ranged from approximately 3 to 30 points (median = 11.3) depending on the methods being used. The MCIDs ranged from 3 to 25 points (median = 8.9) for the PROMIS PI, and from 9 to 77 points (median = 32.5) for the FAAM Sports.

CONCLUSIONS:

This study established a range of MCIDs in the PROMIS PF, PROMIS PI, and FAAM Sports indicating meaningful change in patient condition. MCID values were consistent across follow-up periods, but were different across methods. Values below the 25th percentile of MCIDs may be useful for low-risk clinical decisions. Midrange values (eg, near the median) should be used for high stakes decisions in clinical practice (ie, surgery referrals). The MCID values within the interquartile range should be utilized for most decision making.

LEVEL OF EVIDENCE:

Level I, diagnostic study, testing of previously developed diagnostic measure on consecutive patients with reference standard applied.

Evaluation of the Patient-Reported Outcomes Measurement Information System Upper Extremity Computer Adaptive Test

PURPOSE

The Patient-Reported Outcomes Measurement Information System Upper Extremity Computer Adaptive Test (UE CAT) has recently been made available by the National Institutes of Health to measure physical function outcomes in the upper extremity. We hypothesized that the UE CAT would psychometrically outperform the Disabilities of the Arm, Shoulder, and Hand (DASH) and the Patient-Reported Outcomes Measurement Information System Physical Function Computer Adaptive Test (PF CAT) in a hand patient population.

METHODS

The UE CAT, PF CAT, and DASH were each electronically administered to all adult patients who presented to a tertiary hand and upper extremity (nonshoulder) orthopedic clinic. Patient responses were retrospectively studied to determine the validity, reliability, and floor/ceiling effects of all 3 instruments using the Rasch Partial Credit Model. Responder burden and Pearson correlations were calculated for each instrument.

RESULTS

A total of 379 patients completed the UE CAT, PF CAT, and the DASH. On average, 6 UE CAT, 9 PF CAT, and 30 DASH questions were administered to each patient. All 3 instruments were each highly correlated with each other. Floor effects were low and similar between all instruments; however, ceiling effects were higher in the UE CAT (10.82%) than in the PF CAT (1.32%) or DASH (5.28%). High person reliability (PR) and item reliability (IR) were found for all 3 metrics: UE CAT (α = 0.99; PR = 0.91; IR = 0.94); PF CAT (α = 0.95; PR = 0.89; IR = 0.96); and DASH (α = 0.97; PR = 0.95; IR = 0.99). The UE CAT questions had the best item-fit: only 1 of 15 UE CAT items had poor fit in contrast to 4 of 30 DASH items and 7 of 33 PF CAT items.

CONCLUSIONS

The psychometric properties of the UE CAT compare favorably with the PF CAT and the DASH in nonshoulder upper extremity patients. The relatively large ceiling effect found in the UE CAT could be improved with item bank expansion to include items at the upper end of function.

CLINICAL RELEVANCE

The UE CAT is a useful patient-reported outcome measure that merits further investigation.

Application of machine learning for diagnostic prediction of root caries

OBJECTIVE

This study sought to utilise machine learning methods in artificial intelligence to select the most relevant variables in classifying the presence and absence of root caries and to evaluate the model performance.

BACKGROUND

Dental caries is one of the most prevalent oral health problems. Artificial intelligence can be used to develop models for identification of root caries risk and to gain valuable insights, but it has not been applied in dentistry. Accurately identifying root caries may guide treatment decisions, leading to better oral health outcomes.

METHODS

Data were obtained from the 2015-2016 National Health and Nutrition Examination Survey and were randomly divided into training and test sets. Several supervised machine learning methods were applied to construct a tool that was capable of classifying variables into the presence and absence of root caries. Accuracy, sensitivity, specificity and area under the receiver operating curve were computed.

RESULTS

Of the machine learning algorithms developed, support vector machine demonstrated the best performance with an accuracy of 97.1%, precision of 95.1%, sensitivity of 99.6% and specificity of 94.3% for identifying root caries. The area under the curve was 0.997. Age was the feature most strongly associated with root caries.

CONCLUSION

The machine learning algorithms developed in this study perform well and allow for clinical implementation and utilisation by dental and nondental professionals. Clinicians are encouraged to adopt the algorithms from this study for early intervention and treatment of root caries for the ageing population of the United States, and for attaining precision dental medicine.

Minimal Clinically Important Difference After Carpal Tunnel Release Using the PROMIS Platform

PURPOSE

In light of recently-proposed quality measures for carpal tunnel release (CTR), elucidating the minimal clinically important difference (MCID) for selected outcome measures will be important when interpreting treatment responses. Our purpose was to estimate the MCID of the Patient-Reported Outcomes Measurement Information System (PROMIS) instruments and the short Disabilities of the Arm, Shoulder, and Hand (QuickDASH) following CTR.

METHODS

Adult patients undergoing isolated unilateral CTR between July 2014 and October 2016 were identified. Outcomes included the PROMIS Upper Extremity (UE) Computer Adaptive Test (CAT), Physical Function (PF) CAT, QuickDASH, and Pain Interference (PI) CAT. For inclusion, pretreatment baseline (within 60 days of surgery) and postoperative (6-90 days) UE or PF CAT scores were required, as well as a response on a 5-point Likert scale to the question "How much relief and/or improvement do you feel you have experienced as a result of your treatment?" The MCID was calculated using SD and minimum detectable change (MDC) distribution methods.

RESULTS

In response to the Likert scale question, 88.6% of patients reported improvement at a mean of 14.8 days after surgery. The infrequency of patients reporting no change (5 of 44; 11.4%) precluded calculation of a statistically sound anchor-based MCID value. The MCID values, as calculated using the one-half SD method, were 3.6, 4.6, 10.4, and 3.4 for the UE CAT, PF CAT, QuickDASH, and PI CAT, respectively.

CONCLUSIONS

We have calculated MCID values for the UE CAT, PF CAT, QuickDASH, and PI CAT for patients undergoing CTR. Although the small number of patients reporting no change and minimal change after surgery precluded an anchor-based MCID calculation, we report estimates using the one-half SD method for the MCID following CTR.

CLINICAL RELEVANCE

These MCID estimates will be helpful when interpreting CTR clinical outcomes and for powering prospective trials.

The Relationship of PROMIS Pain Interference and Physical Function Scales

Objectives

To examine the relationship between the Patient Reported Outcome Measurement Information System (PROMIS) Pain Interference (PI) and PROMIS Physical Function (PF) scales in patients with spinal pain at a university spine center.

Design

Retrospective analysis of prospectively collected patient-reported outcome data at a university spine clinic. Pearson correlation was done to examine the relationship of the PROMIS PF and PROMIS PI scores. Age, gender, and race were analyzed by subgroups on the PROMIS Physical Function and Pain Interference score. Linear regression analyzed predictive relationships. Statistical significance was set at P < 0.05.

Results

A total of 1,992 participants completed an assessment, with 1,923 completing the PF CAT and 1,927 the PI CAT. Participants' mean age was 52.8 years (range = 18-94 years, SD = 6.5 years). Correlation analysis of the PROMIS PF with the PROMIS PI showed a Pearson correlation value of -0.717 (P < 0.05). There was a strong linear relationship with a high negative correlation between PF CAT and PI CAT. The PI CAT predicted PF CAT scores (β = -0.707, P < 0.001).

Conclusions

For patients with pain from spinal origin, there is a strong negative correlation between self-reported physical function and pain interference related to physical, social, and mental health. The predictive relationship of function from pain scores supports the PROMIS PI being used as an important adjunct measure of physical function in patients with spinal pain.

Evaluating instrument responsiveness in joint function: The HOOS JR, the KOOS JR, and the PROMIS PF CAT

12345Responsiveness is the ability to detect change over time and is an important aspect of measures used to detect treatment effects. The purpose of this study was to assess the responsiveness of the HOOS JR, the KOOS JR, and the PROMIS Physical Function (PF) computerized adaptive test (CAT) in a joint reconstruction practice. 983 patients were evaluated for joint conditions between 2014 and 2017 in an orthopaedic clinic and completed the three instruments at baseline and 3 and/or 6-month follow-up visits. Average age was 61.03 years (SD = 12.33, Range = 18-90 years) and the majority of the patients were White (n = 875, 89.0%). Three-month responsiveness was calculated two ways, as between 80 and 100 days and as 90 days and beyond. Six-month responsiveness was calculated as 170-190 days and as 180 days and beyond. All changes from baseline scores were significant at the 3-, >3-, and >6-month follow-up (p < 0.05). All three measures showed large effect sizes, ranging from 0.80-1.20 at each time-point. The standardized response mean was large for each measure and at each time-point (Range = 1.06-1.53). This study demonstrated the responsiveness of the HOOS JR, KOOS JR, and the PROMIS PF in adult reconstruction patients. The PROMIS PF was consistently the most responsive instrument in this analysis.

CLINICAL SIGNIFICANCE

The HOOS JR, KOOS JR, and PROMIS PF are useful clinical instruments for assessing treatment change and may be selected as relevant to the specific needs and conditions of the adult joint reconstruction patient population. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:1178-1184, 2018.

Responsiveness of the Patient-Reported Outcomes Measurement Information System (PROMIS), Neck Disability Index (NDI) and Oswestry Disability Index (ODI) instruments in patients with spinal disorders

BACKGROUND CONTEXT

The Patient-Reported Outcomes Information System (PROMIS) instruments are an important advancement in the use of PROs, but need to be evaluated with longitudinal data to determine whether they are responsive to change in specific clinical populations.

PURPOSE

The purpose of this study was to assess the responsiveness of the PROMIS Physical Function (PF), PROMIS Pain Interference (PI), Neck Disability Index (NDI), and the Oswestry Disability Index (ODI).

STUDY DESIGN/SETTING

This study entailed prospective data collection from consecutive patients aged 18 and older, visiting a university-based orthopaedic spine clinic between October 2013 and January 2017.

PATIENT SAMPLE

A total of 763 participants in the sample had a mean age of 58 (SD = 15) years and the sample was 50.2% male and 92.8% Caucasian.

OUTCOME MEASURES

The PROMIS PF and PROMIS PI Computerized Adaptive Tests along with either the NDI or ODI instruments were administered on tablet computers before clinic visits. Global rating of change questions relating to pain and function levels was also administered.

METHODS

Baseline scores were compared with follow-up scores at four different time-points from 3-months to 6-months and beyond. Patient demographics, mean scores, paired-sample t tests, Standardized Response Mean (SRM), and Effect Size (ES) were analyzed to determine instrument responsiveness. This project was funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under award number U01AR067138 and the authors have no conflicts of interest to disclose.

RESULTS

The PROMIS instruments were strongly correlated with each other as well as with the NDI and ODI. Responsiveness was significant on all four instruments at every time-point assessed (paired sample t tests ranged from p < .001 to p = .049). SRM's were large and over 0.94 for every instrument at every time-point. Cohen's d ES were large and over 0.96 for all at all time-points, except for the NDI which had ES ranging from 0.74 to 0.83. This study showed large effect sizes and responsiveness of the PROMIS PF, PROMIS PI, NDI and ODI in a population of orthopaedic patients with spine pathologies.

CONCLUSION

This study demonstrates strong responsiveness of the PROMIS PF and PROMIS PI in a spine clinic population.

Psychometrics of the Patient-Reported Outcomes Measurement Information System Physical Function instrument administered by computerized adaptive testing and the Disabilities of Arm, Shoulder and Hand in the orthopedic elbow patient population

BACKGROUND

This study evaluated the psychometric properties of the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) instrument administered through computerized adaptive testing (CAT) compared with the traditional full-length Disabilities of the Arm, Shoulder and Hand (DASH).

METHODS

The PROMIS PF CAT and the DASH were administered to 1759 patients seeking care for elbow conditions. This study used Rasch partial credit modeling to analyze the instruments with item fit, internal reliability, response category thresholds, dimensionality, local independence, gender differential item functioning, and floor and ceiling effects.

RESULTS

The PROMIS PF CAT and DASH had satisfactory item fit for all but 1 item on both measures. Internal reliabilities were high for both measures. Two items on the DASH and 4 items on the PF CAT showed nonordered category thresholds. Unidimensionality was adequate, and local independence was supported for both instruments. Gender bias was found for 4 items on the PF CAT and 12 items on the DASH. Both measures had adequate instrument targeting and satisfactory floor and ceiling effects.

CONCLUSION

The PROMIS PF CAT and the DASH both showed sufficient unidimensionality, good item fit, and good local independence with the exception of high levels of gender item bias, particularly for the DASH. Further scale evaluation should address item bias and item response categories for these instruments. Overall, the PROMIS PF CAT is an effective outcome instrument to measure function in patients with elbow disorders that requires significantly fewer questions than the DASH.

The responsiveness of the PROMIS instruments and the qDASH in an upper extremity population

BACKGROUND

This study evaluated the responsiveness of several PROMIS patient-reported outcome measures in patients with hand and upper extremity disorders and provided comparisons with the qDASH instrument.

METHODS

The PROMIS Upper Extremity computer adaptive test (UE CAT) v1.2, the PROMIS Physical Function (PF) CAT v1.2, the PROMIS Pain Interference (PI) CAT v1.1 and the qDASH were administered to patients presenting to an orthopaedic hand clinic during the years 2014-2016, along with anchor questions. The responsiveness of these instruments was assessed using anchor based methods. Changes in functional outcomes were evaluated by paired-sample t-test, effect size, and standardized response mean.

RESULTS

There were a total of 255 patients (131 females and 124 males) with an average age of 50.75 years (SD = 15.84) included in our study. Based on the change and no change scores, there were three instances (PI at 3 months, PI >3 months, and qDASH >3 months follow-ups) where scores differed between those experiencing clinically meaningful change versus no clinically meaningful change. Effect sizes for the responsiveness of all instruments were large and ranged from 0.80-1.48. All four instruments demonstrated high responsiveness, with a standardized response mean ranging from 1.05 to 1.63.

CONCLUSION

The PROMIS UE CAT, PF CAT, PI CAT, and qDASH are responsive to patient-reported functional change in the hand and upper extremity patient population.

Disease burden and functional outcomes in congenital myotonic dystrophy: A cross-sectional study

OBJECTIVE

Herein, we describe the disease burden and age-related changes of congenital-onset myotonic dystrophy (CDM) in childhood.

METHODS

Children with CDM and age-matched controls aged 0 to 13 years were enrolled. Participants were divided into cohorts based on the following age groups: 0-2, 3-6, and 7-13 years. Each cohort received age-appropriate evaluations including functional testing, oral facial strength testing, neuropsychological testing, quality-of-life measurements, and ECG. Independent-samples t test or Wilcoxon 2-sample test was used to compare the differences between children with CDM and controls. Probability values less than 0.05 are reported as significant.

RESULTS

Forty-one participants with CDM and 29 healthy controls were enrolled. The 6-minute walk was significantly different between CDM (258.3 m [SD 176.0]) and control participants (568.2 m [SD 73.2]). The mean lip force strength was significantly different in CDM (2.1 N [SD 2.8)] compared to control participants (17.8 N [SD 7.6]). In participants with CDM, the mean IQ (65.8; SD 18.4) was 3 SDs below the mean compared to standardized norms. Measurements of grip strength, sleep quality, and quality of life were also significantly different. Strength measures (oral facial strength, grip strength, and 6-minute walk) correlated with each other but not with participant IQ.

CONCLUSIONS

This work identifies important phenotypes associated with CDM during childhood. Several measures of strength and function were significantly different between participants with CDM and controls and may be useful during future therapeutic trials.

The Charcot-Marie-Tooth Health Index: Evaluation of a Patient-Reported Outcome

OBJECTIVE

The development of a disease-specific patient-reported outcome for Charcot-Marie-Tooth disease is an important step in the preparation for therapeutic trials. This study describes the development of the Charcot-Marie-Tooth Health Index (CMTHI).

METHODS

Inherited Neuropathy Consortium Contact Registry participants were queried on the symptoms that most impacted their lives. The CMTHI was developed based on these responses. Factor analysis, assessment of test-retest reliability, known group validity, and patient interviews were utilized to refine the instrument.

RESULTS

The final CMTHI contains 18 themes that capture Charcot-Marie-Tooth disease (CMT) burden. The CMTHI has a high internal consistency and test-retest reliability. The CMTHI was able to discriminate between patient groups expected to have different disease burden. The CMTHI was able to discriminate levels of disability as measured by the CMT examination score and the mobility-Disability Severity Index.

INTERPRETATION

The CMTHI represents a valid and reliable outcome to assess patient-reported disease burden in CMT. Ann Neurol 2018;84:225-233.

Evaluation of Version 2.0 of the PROMIS Upper Extremity Computer Adaptive Test in Nonshoulder Upper Extremity Patients

PURPOSE

The Patient-Reported Outcomes Measurement Information System (PROMIS) Upper Extremity Computer Adaptive Test (UE CAT) was recently updated to version 2.0 (v2.0). We hypothesized that the PROMIS UE CAT v2.0 would exhibit improved performance characteristics compared with the Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) when administered to a nonshoulder upper extremity patient population.

METHODS

The UE CAT v2.0, Physical Function (PF) CAT v2.0, and the QuickDASH were each prospectively administered via tablet computer to all patients presenting to a tertiary hand and upper extremity clinic between April 2017 and October 2017. Patient responses were analyzed, and the mean, range, floor and ceiling effect, and correlations between instruments were calculated.

RESULTS

Among 825 patients, the mean UE CAT v2.0 score was 38.3 (SD 10.7) with a range of 15 to 61 and interquartile range of 15.4. The UE CAT v2.0 had a strong correlation with the QuickDASH (r = -0.749) and the PF CAT v2.0 (r = 0.719). No patient scored between 56 and 60, indicating a gap in scoring in that range. The UE CAT v2.0 demonstrated a floor effect of 1%, a ceiling effect of 6.9%, and a high internal consistency with a Cronbach alpha of 0.99.

CONCLUSIONS

The PROMIS UE CAT v2.0 demonstrated improved ceiling effects, range, and a decreased gap in scoring compared with prior versions. Limitations of the PROMIS UE CAT v2.0 are still present, but updates have led to an incremental improvement over prior versions, demonstrating the ability to influence PROMIS instrument performance through upgrades.

CLINICAL RELEVANCE

The updated PROMIS UE CAT v2.0 still demonstrates a ceiling effect and gap in scores at the upper end of the instrument, both of which may limit discrimination between different levels of upper extremity function for high-functioning patients.

Responsiveness of the PROMIS and FAAM Instruments in Foot and Ankle Orthopedic Population

BACKGROUND:

Investigating the responsiveness of an instrument is important in order to provide meaningful interpretation of clinical outcomes. This study examined the responsiveness of the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF), the PROMIS Pain Interference (PI), and the Foot and Ankle Ability Measure (FAAM) Sports subscale in an orthopedic sample with foot and ankle ailments.

METHODS:

Patients presenting to an orthopedic foot and ankle clinic during the years 2014-2017 responded to the PROMIS and FAAM instruments prior to their clinical appointments. The responsiveness of the PROMIS PF v1.2, PROMIS PI v1.1, and FAAM Sports were assessed using paired samples t test, effect size (ES), and standardized response mean (SRM) at 4 different follow-up points. A total of 785 patients with an average age of 52 years (SD = 17) were included.

RESULTS:

The PROMIS PF had ESs of 0.95 to 1.22 across the 4 time points (3, >3, 6, and <6 months) and SRMs of 1.04 to 1.43. The PROMIS PI had ESs of 1.04 to 1.63 and SRMs of 1.17 to 1.23. For the FAAM Sports, the ESs were 1.25 to 1.31 and SRMs were 1.07 to 1.20. The ability to detect changes via paired samples t test provided mixed results. But in general, the patients with improvement had statistically significant improved scores, and the worsening patients had statistically significant worse scores.

CONCLUSION:

The PROMIS PF, PROMIS PI, and FAAM Sports were sensitive and responsive to changes in patient-reported health.

LEVEL OF EVIDENCE:

Level II, prospective comparative study.

The relationship between family support; pain and depression in elderly with arthritis

The prevalence and chronic nature of arthritis make it the most common cause of disability among U.S.A adults. Family support reduces the negative impact of chronic conditions generally but its role in pain and depression for arthritic conditions is not well understood. A total of 844 males (35.0%) and 1567 females (65.0%) with arthritic conditions (n = 2411) were drawn from the 2012 Health and Retirement Study to examine the effect of family support on pain and depressive symptoms. Using regression analysis and controlling for age, ethnicity, gender, marital/educational status and employment/income, physical function/disability status, pain and antidepressant medications, and other clinical indicators of chronic health conditions, we examined the effects of family support (spouse, children, other) on pain and depression levels. Results indicated that depressive symptoms decreased significantly with strong family and spousal support (p < .05). Pain decreased as support levels increased, but was non-statistically significant. This study provides new insights into the relationship between family support, pain, and depression for individuals with arthritis. Future longitudinal studies are needed to evaluate family support and relationships over a wider spectrum of demographics.

Validation of a photophobia symptom impact scale

BACKGROUND

Routine assessment of photophobia in the clinical setting may underestimate the presence and severity of this condition. We aimed to develop and validate a questionnaire to improve evaluation of the impact of photophobia on activities of daily living, and to determine the relationship of this questionnaire to psychophysical assessment of light sensitivity thresholds.

METHODS

We developed the 17-item Utah Photophobia Symptom Impact Scale (UPSIS-17) and compared its psychometric properties to the 8-item Korean Photophobia Questionnaire (KUMC-8). Ninety five subjects with or without light sensitivity completed both questionnaires; 72 also completed laboratory-based assessment of light sensitivity thresholds. We used Rasch analysis to evaluate instrument targeting, including internal consistency and reliability. Correlation analysis was used to assess the relationship between questionnaire scores and light sensitivity thresholds.

RESULTS

We observed correlation between UPSIS-17 and KUMC-8, r = 0.72 (p < 0.0001). Higher UPSIS-17 scores correlated with light sensitivity thresholds, r = -0.42 (p < 0.0001), whereas KUMC-8 scores did not significantly correlate with light sensitivity thresholds, r = -0.21 (p = 0.072). UPSIS-17 showed better instrument targeting than KUMC-8 on Rasch analysis. Person-item maps allowed for identification of questions that could be removed without affecting questionnaire validity measures.

CONCLUSION

This study resulted in a shortened, 12-item questionnaire. The UPSIS-12 retained significant correlation with both the KUMC-8 and light sensitivity thresholds, yielding a simpler tool for symptom assessment, while retaining validity. This expanded tool may be useful in clinical, as well as research settings, for collection of data about disability due to photophobia.

Interpretation of correlations in clinical research

BACKGROUND

Critically analyzing research is a key skill in evidence-based practice and requires knowledge of research methods, results interpretation, and applications, all of which rely on a foundation based in statistics. Evidence-based practice makes high demands on trained medical professionals to interpret an ever-expanding array of research evidence.

OBJECTIVE

As clinical training emphasizes medical care rather than statistics, it is useful to review the basics of statistical methods and what they mean for interpreting clinical studies.

METHODS

We reviewed the basic concepts of correlational associations, violations of normality, unobserved variable bias, sample size, and alpha inflation. The foundations of causal inference were discussed and sound statistical analyses were examined. We discuss four ways in which correlational analysis is misused, including causal inference overreach, over-reliance on significance, alpha inflation, and sample size bias.

RESULTS

Recent published studies in the medical field provide evidence of causal assertion overreach drawn from correlational findings. The findings present a primer on the assumptions and nature of correlational methods of analysis and urge clinicians to exercise appropriate caution as they critically analyze the evidence before them and evaluate evidence that supports practice.

CONCLUSION

Critically analyzing new evidence requires statistical knowledge in addition to clinical knowledge. Studies can overstate relationships, expressing causal assertions when only correlational evidence is available. Failure to account for the effect of sample size in the analyses tends to overstate the importance of predictive variables. It is important not to overemphasize the statistical significance without consideration of effect size and whether differences could be considered clinically meaningful.

Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study

Background

Health care quality is often linked to patient satisfaction. Yet, there is a lack of national studies examining the relationship between patient satisfaction, patient-reported outcomes, and medical expenditure.

Objective

The aim of this study is to examine the contribution of physical health, mental health, general health, and total health care expenditures to patient satisfaction using a longitudinal, nationally representative sample.

Methods

Using data from the 2010-2011 Medical Expenditure Panel Survey, analyses were conducted to predict patient satisfaction from patient-reported outcomes and total health care expenditures. The study sample consisted of adult participants (N=10,157), with sampling weights representative of 233.26 million people in the United States.

Results

The results indicated that patient-reported outcomes and total health care expenditure were associated with patient satisfaction such that higher physical and mental function, higher general health status, and higher total health care expenditure were associated with higher patient satisfaction.

Conclusions

We found that patient-reported outcomes and total health care expenditure had a significant relationship with patient satisfaction. As more emphasis is placed on health care value and quality, this area of research will become increasingly needed and critical questions should be asked about what we value in health care and whether we can find a balance between patient satisfaction, outcomes, and expenditures. Future research should apply big data analytics to investigate whether there is a differential effect of patient-reported outcomes and medical expenditures on patient satisfaction across different medical specialties.

Orofacial strength, dysarthria, and dysphagia in congenital myotonic dystrophy

INTRODUCTION

Herein we present an exploratory study of orofacial function in children with congenital myotonic dystrophy (CDM) vs. healthy controls.

METHODS

We evaluated 41 children with CDM and 29 healthy controls for speech and swallow function and for lingual and labial strength.

RESULTS

The Iowa Oral Performance Instrument (IOPI), measuring tongue strength, and a lip force meter (LFM), measuring lip strength, had excellent interrater reliability with intraclass correlation coefficients (ICCs) of 0.75 (n = 19, P < 0.001) and 0.96 (n = 20, P < 0.001), respectively. Mean overall lingual strength was 3.5-fold less and labial strength was about 7-fold less in CDM patients than in healthy controls. Eighteen of 24 children with CDM demonstrated dysarthria and an additional 11 participants were nonverbal. Dysarthria correlated moderately with lingual strength, age, and dysphagia. Strength measures correlated moderately with dysphagia.

DISCUSSION

Children with CDM have impaired orofacial functioning that affects communication and swallowing. Reliability of strength measures may be useful for future therapeutic trials. Muscle Nerve 58: 413-417, 2018.

Physical function and mobility in children with congenital myotonic dystrophy

INTRODUCTION

Congenital myotonic dystrophy (CDM) occurs when symptoms of myotonic dystrophy present at birth. In this study we evaluated the relationship between physical function, muscle mass, and age to provide an assessment of the disease and help prepare for therapeutic trials.

METHODS

CDM participants performed timed functional tests (TFTs), the first 2 minutes of 6-minute walk tests (2/6MWTs), and myometry tests, and also performed dual-energy X-ray absorption (DEXA) scans. Healthy controls (HCs) performed TFTs, 6MWTs, and myometry.

RESULTS

Thirty-seven children with CDM and 27 HCs (age range 3-13 years) participated in the study. There were significant differences in the 10-meter walk (11.3 seconds in CDM vs. 6.8 seconds in HC) and 2MWT (91 meters in CDM vs. 193 meters in HCs). DEXA lean mass of the right arm correlated with grip strength (r = 0.91), and lean mass of the right leg correlated with 6MWT (r = 0.62).

CONCLUSION

Children with CDM have significant limitations in strength and mobility. The tests performed were reliable, and lean muscle mass may serve as a useful biomarker. Muscle Nerve 56: 224-229, 2017.

Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival

BACKGROUND

Oral cancer is the sixth most prevalent cancer worldwide. Public knowledge in oral cancer risk factors and survival is limited.

AIM

To come up with machine learning (ML) algorithms to predict the length of survival for individuals diagnosed with oral cancer, and to explore the most important factors that were responsible for shortening or lengthening oral cancer survival.

METHODS

We used the Surveillance, Epidemiology, and End Results database from the years 1975 to 2016 that consisted of a total of 257880 cases and 94 variables. Four ML techniques in the area of artificial intelligence were applied for model training and validation. Model accuracy was evaluated using mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), R² and adjusted R².

RESULTS

The most important factors predictive of oral cancer survival time were age at diagnosis, primary cancer site, tumor size and year of diagnosis. Year of diagnosis referred to the year when the tumor was first diagnosed, implying that individuals with tumors that were diagnosed in the modern era tend to have longer survival than those diagnosed in the past. The extreme gradient boosting ML algorithms showed the best performance, with the MAE equaled to 13.55, MSE 486.55 and RMSE 22.06.

CONCLUSION

Using artificial intelligence, we developed a tool that can be used for oral cancer survival prediction and for medical-decision making. The finding relating to the year of diagnosis represented an important new discovery in the literature. The results of this study have implications for cancer prevention and education for the public.

An Exploration of the Use and Impact of Preventive Measures on Skin Cancer

Background: Skin cancer is the most common form of cancer, and both clinical and epidemiological data link cumulative solar dosages and the number of sunburns to skin cancer. Each year, more than 5.4 million new cases of skin cancer are diagnosed, incurring a significant health and financial burden. Recommended preventive measures for skin cancer include the use of sunscreen, sun avoidance, and protective clothing. This study used a national database to examine the association of preventive measures with the prevalence of skin cancer, specifically analyzing the preventive measures of sunscreen use, staying in the shade, and wearing long-sleeved shirts. The second aim was to determine which characteristics, if any, correlated with using prevention measures. Methods: This study analyzed data from the National Health and Nutritional Examination Survey 2015−2016 cycle to examine the association of three preventive measures (using sunscreen, staying in the shade, and wearing long-sleeved shirts) with skin cancer. Logistic regression and chi-square tests were utilized to examine the relationship between skin cancer and these prevention methods. Results: Sunscreen use (OR = 3.752; p < 0.05) was statistically associated with a lower prevalence of skin cancer, while wearing long-sleeved shirts (OR = 6.911; p = 0.064) and staying in the shade (OR = 0.646; p = 0.481) did not emerge as factors significantly associated with a lower prevalence after controlling for gender, race/ethnicity, marital status, income, health insurance, and general health. Additionally, men and individuals of color were less likely to use sunscreen. Conclusion: Sunscreen use was associated with a lower prevalence of skin cancer, while wearing long-sleeved shirts and staying in the shade was not significantly linked to lower rates of skin cancer, suggesting that these measures may not be as effective as sunscreen for preventing skin cancer. Men and individuals of color were significantly less likely to use sunscreen. These findings can help guide future education efforts and research regarding skin cancer prevention and suggest the need to develop male-oriented programs to mitigate the gender disparity in employing sun-protection measures.

Evaluating the Prediction of Breast Cancer Survival Using Lymph Node Ratio

Purpose

Previous oncological studies showed that lymph node ratio (LNR) (ratio of number of lymph nodes that tested positive for metastasis to the total number of lymph nodes examined) is a negative indicator of cancer survival. The American Joint Committee on Cancer (AJCC) staging system incorporates tumor size, lymph node involvement, and metastasis in a comprehensive model of cancer progression, but LNR alone has been shown to outperform the AJCC system in prognostic and survival predictions for various types of cancer. The effectiveness of LNR has not been evaluated in breast cancer staging. Evaluating LNR for predicting cancer staging in breast cancer has the potential to improve treatment recommendations.

Methods

The Surveillance, Epidemiology, and End Results dataset was used to identify 10,655 breast cancer patients who underwent nodal evaluation from 2010 to 2013, and their LNRs were calculated. Descriptive statistics of lymph node evaluation in the patients are provided. Logistic regression with LNR as the continuous independent variable was conducted to determine whether LNR could predict cancer progression, coded as regional or distant. Analysis was conducted using SPSS version 24.

Results

Patient's mean age was 59.43±18.62. Logistic regression analysis revealed that for every 1.3% increase in LNR, the odds of falling into the distant stage of the TNM staging system increased by 13.7% (odds ratio, 14.73; 95% confidence interval, 12.00-18.08).

Conclusion

LNR, while correlated with breast cancer staging, serves as a better predictor of survival. Precision staging can influence treatment modality, and improved treatments can significantly improve quality of life. Additional research and diagnostic examinations using LNR as a potential tool for accurate staging in breast cancer patients are warranted.

Dietary and Supplemental Vitamin C and D on Symptom Severity and Physical Function in Knee Osteoarthritis

Vitamins C and D have been associated with decreasing pain and increasing function but these associations are not definitive. This cross-sectional study explores what relationships supplemental and dietary intake of vitamins C and D have on pain severity and physical function in patients with knee osteoarthritis. Using data from the Osteoarthritis Initiative, we performed regression analyses to examine relationships between vitamins C and D, pain, and function. Dietary vitamin D and dietary vitamin C were divided into >90th, 50th-90th, and <50th percentile. The high percentile group for supplemental vitamin D was divided into >85th percentile, whereas the high percentile group for supplemental vitamin C was divided into >90th percentile. We found the 90th/85th percentile levels of dietary and supplemental vitamin D to be positively associated with pain (β = 0.180; p = 0.028) and inversely related to physical function (β = -0.150, p = 0.028), respectively. Daily intake of vitamin C showed no statistical significance. We found that supplementary vitamin D was strongly associated with lessened disability for knee OA patients. The unexpected finding that associated dietary vitamin D with greater knee pain merits further study.