Edited by: Liying Zhang, Wayne State University, United States
Reviewed by: Frank M. Webbe, Florida Institute of Technology, United States; Jason Luck, Duke University, United States
†Statistical Analysis conducted by Chloe Ifrah, BA, Albert Einstein College of Medicine.
Specialty section: This article was submitted to Neurotrauma, a section of the journal Frontiers in Neurology
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Compared to heading, unintentional head impacts (e.g., elbow to head, head to head, head to goalpost) in soccer are more strongly related to risk of moderate to very severe Central Nervous System (CNS) symptoms. But, most head impacts associated with CNS symptoms that occur in soccer are mild and are more strongly related to heading. We tested for a differential relation of heading and unintentional head impacts with neuropsychological (NP) test performance.
Active adult amateur soccer players were recruited in New York City and the surrounding areas for this repeated measures longitudinal study of individuals who were enrolled if they had 5+ years of soccer play and were active playing soccer 6+ months/year. All participants completed a baseline validated questionnaire (“HeadCount-2w”), reporting 2-week recall of soccer activity, heading and unintentional head impacts. In addition, participants also completed NP tests of verbal learning, verbal memory, psychomotor speed, attention, and working memory. Most participants also completed one or more identical follow-up protocols (i.e., HeadCount-2w and NP tests) at 3- to 6-month intervals over a 2-year period. Repeated measures General Estimating Equations (GEE) linear models were used to determine if variation in NP tests at each visit was related to variation in either heading or unintentional head impacts in the 2-week period before testing.
308 players (78% male) completed 741 HeadCount-2w. Mean (median) heading/2-weeks was 50 (17) for men and 26 (7) for women. Heading was significantly associated with poorer performance on psychomotor speed (
Poorer NP test performance was consistently related to frequent heading during soccer practice and competition in the 2 weeks before testing. In contrast, unintentional head impacts incurred during soccer were not related to cognitive performance.
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More than 1 in 20 humans currently play soccer, the only sport where athletes deliberately engage in repeated head impacts (
Most studies of head injury in other sports have focused on single or repeated recognized concussions that are associated with risk of cognitive impairment (
Variation in CNS symptoms and cognitive function are associated with soccer activity (
Our prior work indicates that CNS symptoms related to head impacts in soccer are common (
In this study, we examined whether self-reported (
The Einstein Soccer Study is a multi-faceted longitudinal study of heading and its consequences in adult amateur soccer players. We used data from one sub-study, where soccer players were recruited over a 37-month period between November 2013 and January 2017 and to complete one to seven [max number of sessions] sessions where a battery of NP tests was completed along with a 2-week recall questionnaire (“HeadCount-2w”) on soccer activity, heading, and other head impacts. Sessions were completed every 3 to 6 months for up to [max number of sessions]. Head impact and NP testing data collected during a single session was the unit of analysis, where each soccer player could contribute one or more units. In this study, we used data across 741 visits from 308 soccer players to determine if variation in NP test performance was explained by variation in either heading or unintentional head impacts reported for the preceding 2 weeks. The Albert Einstein College of Medicine IRB approved the study. All participants gave written informed consent at time of enrollment.
Details on the development of HeadCount-2w, the 2-week recall questionnaire, are described elsewhere (
The NP assessment was completed during an in-person session within the 2-week recall period of the web-based HeadCount-2w questionnaire. Cogstate® (Cogstate, Ltd., NY, USA), a valid and reliable computer-administered battery of cognitive function (
Details on the study and recruitment methods are described elsewhere (
Written informed consent occurred during an initial in-person study visit during which Cogstate® was administered by a trained research assistant. At the end of the study visit, each subject was told they would receive an email message asking them to complete an online HeadCount-2w survey to report 2-week recall of soccer activity. Compensation for the study visit ($150.00) was contingent on completion of the online HeadCount-2w within a week of the study visit. Subjects were similarly asked to complete HeadCount-2w questionnaires and NP testing in conjunction with subsequent study visits that occurred every 3–6 months (depending on study arm) after the baseline visit. Of 994 HeadCount-2w completed, 226 were excluded from the analysis because no soccer activity was reported.
Of the remaining 768 HeadCount-2w, 7 were excluded because heading data reported by one female were extreme outliers (i.e., 364 to 795 headings/2 weeks) and another 20 were excluded because NP data were not collected because the in-person visit was not completed. A total of 308 individuals participated in 741 sessions where the HeadCount-2w and NP test battery were completed. A total of 129 individuals contributed data for one session, 70 contributed data from two sessions, and 112 individuals contributed data from three or more sessions. Of the 741 HeadCount-2w with NP data, 36 were missing the ONB because this task was added to the Cogstate® Battery after study inception. Six administrations of the GMCT and 10 of the IDN were excluded due to technical problems that caused data loss.
Data used for this analysis was from the 741 sessions (i.e., visits) where both NP tests and HeadCount-2w were completed by 308 soccer players. Analysis determined if variation in scores on specific NP tasks completed at each visit was explained by variation in heading or of unintentional head impacts reported to have occurred in the 2-weeks preceding NP testing.
Total heading was highly skewed and, therefore, defined as an ordinal-categorical variable of approximately equal size quartiles with the lowest exposure group having de minimis heading exposure (i.e., 0 to 4 headings in 2 weeks). Unintentional head impacts were represented as an ordinal variable (i.e., 0, 1, 2+ events).
Generalized estimating equations (GEE) repeated measures linear regression was used to determine the relation of NP test scores with heading (i.e., four ordered categories) and unintentional head impact (i.e., 0, 1, 2+) categories, using the lowest exposure group for each variable as the reference for estimating differences. Covariates considered in the model as potential confounders included performance on the reading subtest of the Wide Range Achievement Test 4 (
Of 741 HeadCount-2w, 246 reported heading activity and unintentional impacts, 435 reported heading but no unintentional impacts, 11 reported unintentional impacts but no heading, and 49 reported no unintentional head impacts and no heading.
Among all eligible HeadCount-2w (Table
Summary of heading and unintentional head impacts reported by 308
Variable | Baseline HeadCount-2w Questionnaire ( |
All HeadCount-2w Questionnaires ( |
||
---|---|---|---|---|
Percent with 1+ outdoor game | 68.5% ( |
70.2% ( |
||
Mean | Median | Mean | Median | |
Number of outdoor games | 3.1 | 2 | 3.2 | 3 |
Headings per game | 5.5 | 4 | 4.9 | 4 |
Cumulative heading in 2-weeks |
18.5 | 10 | 17.4 | 10 |
Percent with 1+ day of outdoor practice | 55.2% ( |
47.9% ( |
||
Mean | Median | Mean | Median | |
Number of outdoor practices | 4.0 | 3 | 4.0 | 3 |
Headings per practice | 8.8 | 5 | 7.6 | 4 |
Cumulative heading in 2-weeks |
38.0 | 16 | 48.0 | 20 |
Percent with 1+ indoor game | 31.8% ( |
35.1% ( |
||
Mean | Median | Mean | Median | |
Number of indoor games | 2.7 | 2 | 2.8 | 2 |
Headings per game | 2.8 | 2 | 3.1 | 2 |
Cumulative heading in 2-weeks |
7.5 | 4 | 10.3 | 4 |
Percent with 1+ day of indoor practice | 19.5% ( |
18.8% ( |
||
Mean | Median | Mean | Median | |
Number of indoor practices | 2.6 | 2 | 2.9 | 2 |
Headings per practice | 6.2 | 4 | 5.7 | 3 |
Cumulative heading in 2-weeks |
19.7 | 7 | 29.1 | 8 |
Any soccer activity | ||||
Mean | Median | Mean | Median | |
Total heading, all activities, all subjects | 39.9 | 15 | 44.9 | 15 |
Total heading, all activities, heading only | 44.9 | 19 | 48.9 | 17 |
Cause of exposure | Percent exposed | Percent exposed | ||
Hit in back of head | 12.7 | 13.0 | ||
Head hit goalpost | 2.3 | 1.2 | ||
Head to head | 12.3 | 11.4 | ||
Head hit ground | 11.0 | 9.2 | ||
Head hit elbow, knee | 19.8 | 17.9 | ||
Head kicked | 2.6 | 2.3 | ||
At least one event | 36.0 | 34.7 |
Descriptive statistics on intentional (heading) and unintentional head impacts and neuropsychological (NP) scores by demographic and other factors using data from the 741 HeadCounts-2w and the in-person NP assessments.
Total | 100 | 44.9 | 15 | 36.5 | 26.7 | 1.5 | 2.7 | 1.3 | 1.2 | 9.6 | |
Gender | Male | 77.7 | 50.2b,c | 17 | 34.0 | 26.2 | 1.6 | 2.7 | 1.3 | 1.2 | 9.4 |
Female | 22.3 | 26.2b,c | 7 | 37.0 | 28.5 | 1.6 | 2.7 | 1.3 | 1.3 | 10.4 | |
Age | 18–20 | 23.8 | 63.5b,c | 24.5 | 40.9 | 26.6 | 1.6 | 2.7 | 1.3 | 1.2 | 9.4 |
21–23 | 25.1 | 58.2b,c | 24 | 38.2 | 26.4 | 1.6 | 2.7 | 1.3 | 1.3 | 9.5 | |
24–28 | 24.7 | 27.2b,c | 10 | 27.3 | 27.4 | 1.6 | 2.7 | 1.3 | 1.20 | 10 | |
29+ | 26.5 | 32.2b,c | 13 | 32.7 | 26.6 | 1.3 | 2.7 | 1.3 | 1.2 | 9.5 | |
Years Playing Soccer at similar frequency | 0–8.9 | 33.6 | 40.7 | 12 | 34.9 | 27.2 | 1.6 | 2.7 | 1.3 | 1.2 | 9.8 |
9–14.9 | 32.7 | 58.3 | 21.5 | 39.3 | 26.5 | 1.6 | 2.7 | 1.3 | 1.2 | 9.4 | |
15–26.9 | 26.0 | 38.5 | 15 | 29.5 | 26.6 | 1.6 | 2.7 | 1.3 | 1.2 | 9.7 | |
27+ | 7.7 | 27.9 | 11 | 31.6 | 26.3 | 1.3 | 2.8 | 1.3 | 1.2 | 9.3 | |
Position played most often | Forward | 19.8 | 56.1b,c | 22 | 45.2 | 25.8 | 1.5 | 2.7 | 1.3 | 1.2 | 9.2 |
Midfield | 37.3 | 39.9b,c | 15 | 32.7 | 26.5 | 1.6 | 2.7 | 1.3 | 1.2 | 9.4 | |
Defense | 36 | 48.6b,c | 15 | 29.3 | 27.4 | 1.5 | 2.7 | 1.3 | 1.2 | 9.9 | |
Goaltender | 6.9 | 22.9b,c | 6 | 45.1 | 26.9 | 1.6 | 2.7 | 1.3 | 1.2 | 9.7 | |
Concussions (all causes): lifetime | None | 79.8 | 50.4 |
16 | 34.2 | 26.5 | 1.6 | 2.7 | 1.3 | 1.2 | 9.5 |
1–2 | 16.6 | 25.8 |
12 | 35.8 | 27.1 | 1.5 | 2.7 | 1.3 | 1.2 | 9.7 | |
3–4 | 2.0 | 15.1 |
12 | 33.3 | 29.1 | 1.6 | 2.7 | 1.4 | 1.4 | 10.9 | |
5–6+ | 1.6 | 5.4 |
3.5 | 50 | 29.3 | 1.2 | 2.7 | 1.5 | 1.3 | 10.3 | |
Cigarette smoking | Never | 71.3 | 49 | 16 | 35 | 26.3 | 1.5 | 2.7 | 1.3 | 1.2 | 9.4 |
1+ pack/day | 28.7 | 34.8 | 13 | 33.8 | 27.7 | 1.5 | 2.7 | 1.3 | 1.3 | 10.1 | |
Drinks of Alcohol Per Week | Never | 29.8 | 80.3b,c | 36 | 40.7 | 25.9 | 1.5 | 2.7 | 1.2 | 1.2 | 9.1 |
1–2 | 35.8 | 33.7b,c | 15 | 32.5 | 26.7 | 1.5 | 2.7 | 1.3 | 1.2 | 9.7 | |
3–7 | 26.5 | 24.1b,c | 10 | 32.1 | 27.4 | 1.6 | 2.7 | 1.3 | 1.3 | 9.8 | |
8+ | 7.6 | 32.3b,c | 11.5 | 32.1 | 27.8 | 1.5 | 2.7 | 1.3 | 1.3 | 10.2 | |
WRAT |
0–96.9 | 23.2 | 71.6 |
31 | 37.2 | 24.9 | 1.5 | 2.7 | 1.2 | 1.2 | 8.9 |
97–104.9 | 25.6 | 41.4 |
16.5 | 34.7 | 26.8 | 1.6 | 2.7 | 1.3 | 1.2 | 9.6 | |
105–113.9 | 26 | 41.7 |
15 | 31.6 | 26.8 | 1.6 | 2.7 | 1.3 | 1.2 | 9.6 | |
114+ | 25.1 | 27.1 |
9 | 35.5 | 28.3 | 1.6 | 2.7 | 1.3 | 1.3 | 10.2 |
Among all eligible HeadCount-2w, 34.7% reported one or more unintentional head impacts (Table
The median value for heading/2-weeks was 2 for the reference group quartile and it was 9, 25, and 101 for the second through fourth quartiles, respectively. Pearson correlation of the WRAT score with NP tests was 0.05 for the GMCT, −0.09 for the IDN, and between 0.18 and 0.26 for the other four tests.
Using data from the 741 HeadCount-2w and each NP test, separate GEE models were first run with heading or unintentional head impacts, respectively, as the independent variable (Table
GEE model estimating the mean difference in NP test scores by heading exposure quartiles and by number of unintentional head impacts reported in a 2-week recall period.
Exposure | Median value | Mean difference in Neuropsychological Test Score | |||||||
---|---|---|---|---|---|---|---|---|---|
Includes all 2-week episodes | Excludes episodes with reported probable or certain concussion | ||||||||
A |
Wald chi-square ( |
B |
Wald chi-square ( |
CB mean difference (95% CI) | Wald chi-square ( |
||||
Verbal learning: higher score = better performance |
|||||||||
2 | 177 | – | 4.20 (0.24) | – | 3.11 (0.37) | 173 | – | 3.49 (0.32) | |
9 | 191 | 0.34 (−0.40, 1.07) | 0.35 (−0.39, 1.10) | 186 | 0.36 (−0.39, 1.10) | ||||
25 | 187 | −0.29 (−1.15, 0.57) | −0.22 (−1.10, 0.67) | 181 | −0.27 (−1.16, 0.63) | ||||
101 | 186 | −0.54 (−1.49, 0.42) | −0.40 (−1.44, 0.64) | 179 | −0.43 (−1.47, 0.61) | ||||
0 | 484 | – | 2.38 (0.31) | – | 1.30 (0.52) | 472 | – | 1.50 (0.47) | |
1 | 140 | −0.08 (−0.82, 0.65) | −0.02 (−0.79, 0.75) | 135 | −0.05 (−0.83, 0.74) | ||||
2 + | 117 | −0.73 (−1.67, 0.21) | −0.56 (−1.58, 0.46) | 112 | −0.62 (−1.65, 0.42) | ||||
2 | 174 | – | 24.50 | – | 22.90 | 170 | – | 23.30 | |
9 | 191 | 0.07 (0.00, 0.15) | (0.00) | 0.08 (0.01, 0.15) | (0.00) | 186 | 0.08 (0.01, 0.16) | (0.00) | |
25 | 186 | −0.01 (−0.09, 0.08) | −0.00 (−0.09, 0.10) | 180 | −0.01 (−0.08, 0.10) | ||||
101 | 184 | −0.12 (−0.21, −0.03) | −0.11 (−0.20, −0.01) | 177 | −0.10 (−0.20, −0.00) | ||||
0 | 480 | – | 4.08 (0.13) | – | 1.77 (0.41) | 468 | – | 1.85 | |
1 | 138 | −0.07 (−0.15, 0.01) | −0.05 (−0.12, 0.03) | 133 | −0.06 (−0.13, 0.02) | (0.40) | |||
2+ | 117 | −0.08 (−0.18, 0.02) | −0.05 (−0.15, 0.06) | 112 | −0.03 (−0.13, 0.08) | ||||
2 | 176 | – | 6.00 (0.11) | – | 2.54 (0.47) | 172 | – | 3.29 | |
9 | 189 | −0.01 (−0.02, 0.01) | −0.00 (−0.02, 0.02) | 184 | 0.00 (−0.02, 0.02) | (0.35) | |||
25 | 185 | 0.00 (−0.2, 0.02) | 0.00 (−0.02, 0.02) | 179 | 0.00 (−0.02, 0.02) | ||||
101 | 182 | 0.02 (−0.01, 0.04) | 0.01 (−0.01, 0.04) | 176 | 0.02 (−0.01, 0.04) | ||||
0 | 479 | – | 0.95 (0.62) | – | 1.53 (0.47) | 468 | – | 2.10 | |
1 | 136 | 0.00 (−0.02, 0.02) | −0.01 (−0.03, 0.01) | 131 | −0.01 (−0.03, 0.01) | (0.35) | |||
2+ | 117 | −0.01 (−0.04, 0.01) | −0.01 (−0.03, 0.01) | 112 | −0.02 (−0.04, 0.01) | ||||
2 | 170 | – | 11.80 | – | 9.94 (0.02) | 166 | – | 9.64 | |
9 | 176 | 0.01 (−0.03, 0.05) | (0.01) | 0.01 (−0.03, 0.06) | 171 | −0.01 (−0.03, 0.06) | (0.02) | ||
25 | 178 | −0.04 (−0.09, 0.01) | −0.04 (−0.09, 0.01) | 172 | −0.04 (−0.09, 0.10) | ||||
101 | 181 | −0.07 (−0.12, −0.01) | −0.06 (−0.12, 0.00) | 175 | −0.06 (−0.12, 0.00) | ||||
0 | 459 | – | 3.89 (0.14) | – | 1.60 (0.45) | 447 | – | 1.78 | |
1 | 133 | −0.04 (−0.08, 0.01) | −0.03 (−0.07, 0.02) | 128 | −0.03 (−0.08, 0.02) | (0.41) | |||
2+ | 113 | −0.03 (−0.08, 0.01) | −0.02 (−0.07, 0.03) | 109 | −0.02 (−0.07, 0.03) | ||||
2 | 177 | – | 8.77 (0.03) | – | 7.46 (0.06) | 173 | – | 7.85 | |
9 | 191 | 0.01 (−0.03, 0.04) | 0.08 (−0.03, 0.05) | 186 | −0.01 (−0.03, 0.05) | (0.05) | |||
25 | 187 | −0.04 (−0.09, 0.01) | −0.09 (−0.16, −0.01) | 181 | −0.04 (−0.09, 0.01) | ||||
101 | 186 | −0.07 (−0.13, −0.01) | −0.03 (−0.08, 0.02) | 179 | −0.07 (−0.13, −0.00) | ||||
0 | 484 | – | 3.17 (0.21) | – | 1.26 (0.53) | 472 | – | 1.40 | |
1 | 140 | −0.40 (−0.09, 0.01) | −0.03 (−0.08, 0.02) | 135 | −0.03 (−0.08, 0.02) | (0.50) | |||
2+ | 117 | −0.03 (−0.08, 0.02) | −0.01 (−0.06, 0.04) | 173 | −0.01 (−0.06, 0.04) | ||||
2 | 177 | – | 2.22 (0.53) | – | 2.03 (0.57) | 173 | – | 1.88 | |
9 | 191 | 0.18 (−0.18, 0.54) | 0.19 (−0.17, 0.55) | 186 | 0.18 (−0.19, 0.55) | (0.60) | |||
25 | 187 | −0.06 (−0.46, 0.33) | −0.05 (−0.45, 0.35) | 181 | −0.06 (−0.47, 0.35) | ||||
101 | 186 | −0.09 (−0.52, 0.35) | −0.07 (−0.54, 0.40) | 179 | −0.06 (−0.53, 0.41) | ||||
0 | 484 | – | 0.24 (0.89) | – | 0.08 (0.96) | 472 | – | 0.16 | |
1 | 140 | −0.04 (−0.37, 0.29) | −0.03 (−0.36, 0.31) | 135 | −0.05 (−0.40, 0.29) | (0.92) | |||
2+ | 117 | −0.12 (−0.54, 0.32) | −0.06 (−0.52, 0.40) | 173 | −0.08 (−0.55, 0.38) |
Relatively little is known about the short-term effects of heading or unintentional head impacts on cognitive function, though such effects, even if transient, might inform mediation of persistent effects of repetitive brain trauma from long-term participation in soccer (
Our study indicates that heading activity in a 2-week period explains variation in NP function and that this relationship is not due to self-reported concussive or even probable concussive symptoms occurring in the same 2-week period. Higher levels of heading were associated with poorer performance on cognitive tasks that emphasized psychomotor speed, attention, and working memory. Notably, these domains of cognitive function are most dependent on normal structure and functioning of brain white matter tracts, the demonstrated location of pathology in concussion and also implicated, independent of concussion, in our study of soccer heading (
Individuals with 2-week heading exposure in the fourth quartile had an average of 4.5 games and 9.0 headings/game and an average of 5.8 practice sessions and 14.2 heading/practice session. Similarly, those in the third quartile had an average of 4.0 games and 5.0 headings/game and an average of 2.1 practice sessions and 3.4 heading/practice session. The levels of activity in these two quartiles may provide insight on threshold effects.
We previously reported that CNS symptoms from head impacts were common and included mild (i.e., some pain), moderate (i.e., moderate pain, some dizziness), severe (i.e., felt dazed, stopped play, needed medical attention), and very severe (i.e., knocked unconscious) events, even though players did not report recognized concussion during the recall period (
Previous studies of head injury in soccer have focused on unintentional impacts that lead to recognized concussion (
We examined whether cognitive function varied in relation to heading activity and unintentional head impacts, not whether present clinically meaningful variation in cognitive function (i.e., clinical deficit) is related to heading. While we did not examine changes in NP function from 2-week period to 2-week period, our findings are consistent with the notion that individuals who head the ball may experience transient sub-clinical reductions in cognitive performance that we hypothesize returns to baseline performance when heading activity ceases. Notably, our prior work indicates that unintentional head impacts may be more strongly related to clinically overt CNS symptoms. However, the larger question relates to heading, which is under the control of the soccer player and is very common relative to unintentional head impacts. We do not know if there are residual effects from transient changes that may result in micro-structural changes (
We studied relatively young adult amateur players from one area of the United States. Soccer play across the US and worldwide is diverse in the frequency and intensity of play, training, and organization. But, the range of exposure to soccer heading and unintentional head impacts is likely to be generalizable to adult amateur soccer players (
There are several potential alternative explanations to the associations we have observed. First, the associations of heading with NP performance could be explained, in part, by a carryover effect from a previous 2-week period. In this study, soccer players completed a HeadCount-2w and NP tests every 3–6 months so we were not able to evaluate the potential impact of heading from the prior 2-week interval. In general, though, we expect that the relationship of heading to variation in NP function will be attenuated in relation to time since heading. If there is a carryover effect it reinforces the direct relation of heading and cognitive performance, as well as the persistence of the effect. However, a formal evaluation of serial heading data and actual change in NP function from one period to the next will be required to fully address this concern. Second, there may be confounding from long-term exposure to heading. While we do not have lifetime heading data, we estimated the Pearson’s
There are several potential limitations to this study. First, the study population was comprised of volunteers. While selection bias is a potential threat to the validity of the study findings we do not believe it is a meaningful threat. The findings for heading in this study is highly consistent with what we have observed with a diversity of outcomes (symptoms, neurocognitive function, etc.) (
Future research will benefit from more precise data on heading exposure that may offer insight on the specific qualities of heading that result in transient but sub-clinical variation NP function. Fourth, we did not collect exposure data on head impacts between testing sessions that were spaced 3 to 6 months apart as our focus was on the proximal effect of head impact exposures on variation in NP function, where exposures that are more than 2-weeks from testing were unlikely to be relevant. However, in a separate study, we examined the relation of NP function to annual versus 2-week heading exposure that indicates the NP domains that are affected do differ (
Our study reveals that variation in cognitive performance is explained by variation in heading in the previous 2-weeks but not variation in unintentional head impacts. Questions remain about the temporal relation, magnitude (e.g., frequency, intensity), and nature (i.e., linear versus rotational) of heading required to modify cognitive function, the persistence of the effect, and whether there are carryover effects mediated by long-term intensity of exposure. Answers to these questions may be important to managing risk of long-term effects from heading and underscore the need for long-term follow-up.
Current prevention efforts are focused on minimizing unintentional head impacts as these are the most common cause of
This study was carried out in accordance with the recommendations of the Albert Einstein College of Medicine Institutional Review Board with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the Albert Einstein College of Medicine Institutional Review Board.
WS: study concept and design, interpretation of data, and critical revision of manuscript for intellectual content. NK, MS, MZ, MK, and RL: interpretation of data and critical revision of manuscript for intellectual content. CI: acquisition of data, analysis, and interpretation of data. ML: study concept and design, interpretation of data, critical revision of manuscript for intellectual content, and study supervision.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.