Hideyuki Ito1,2, Kiyoshi Ichihara2, Kotaro Tamari3, Tetsuya Amano4, Shigeharu Tanaka5, Shigehiro Uchida6. 1. Department of Rehabilitation, Faculty of Wakayama Health Care Sciences, Takarazuka University of Medical and Health Care: 2252 Nakanoshima, Wakayama, Wakayama 640-8392, Japan. 2. Department of Clinical Laboratory Sciences, Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, Japan. 3. Department of Physical Therapy, Faculty of Health and Medical Science, Teikyo Heisei University, Japan. 4. Department of Physical Therapy, Faculty of Health and Medical Sciences, Tokoha University, Japan. 5. School of Rehabilitation, Faculty of Health and Social Services, Kanagawa University of Human Services, Japan. 6. Department of Rehabilitation, Faculty of Rehabilitation, Hiroshima International University, Japan.
Osteoarthritis (OA) of the knee, as reported in a large-scale resident cohort study, has an
extremely high prevalence. The number of patients with knee OA is estimated to be 25.3
million, of whom approximately 8 million are assumed to have symptoms1). If no improvements in pain or motor function can be seen in
patients with knee OA, total knee arthroplasty (TKA) or unicompartmental knee arthroplasty
(UKA) are performed, with the total number of such operations reaching 82,000 per year in
Japan2).As important parameters in evaluating the abilities of patients after knee arthroplasty,
Dobson et al.3) recommend measurements of
Timed Up and Go (TUG) and the maximum walking speed (MWS) in grasping an overall ability of
walking and moving. Bade et al.4) evaluated
119 post-TKA patients by measuring TUG before and six months after surgery. The results
showed that individuals whose TUG was more than 10.1 seconds and who were older than
72 years prior to surgery showed a decline in motor function six months after surgery. By
evaluating 64 patients who had undergone TKA (32 men and 32 women), Bade et al.5) also performed the TUG test before surgery
and during acute stages, as well as a 6-minute walking test six months after surgery. They
reported that the TUG scores before surgery and during the acute stages were related to
long-term postoperative 6-minute walking distance. Taniguchi et al.6) measured physical function, such as TUG and muscle strength,
of 81 post-TKA patients (8 males and 73 females) as well as physical activity volume, before
surgery and one and six months post-surgery. They reported that the TUG scores at one month
after surgery predicted physical activity volume six months after surgery. In other words,
walking and moving abilities, such as TUG, before and in short-term after surgery, are
important indicators, since they predict long-term postoperative motor function and physical
activity volume. Regarding time-serial changes in gait performance after TKA, Bade et
al.7) measured TUG in 24 TKA patients
before, one, three, and six months after the surgery. They reported that TUG dropped
significantly in one month after surgery, and it did not recover for a considerable period
of time after the surgery.Possible factors that may affect post-surgical abilities in walking and moving are gender,
age, BMI, and surgical modalities. However, there has been no systematic evaluation of those
factors in early post-surgical period despite its immense importance for proper management
of peri-surgical rehabilitation.Therefore, we conducted a multicenter joint study to investigate 545 knee OA patients
undergoing knee arthroplasty for their motor functions including TUG and MWS before and two
weeks after the surgery. Multifaceted analyses were performed to explore possible factors
that may be associated with post-surgical changes in TUG and MWS values.
PARTICIPANTS AND METHODS
The participants used in this study were 545 knee OA patients (127 males and 418 females)
in whom either TKA or UKA had been indicated for treatment at thirteen facilities that
cooperated with this study (one facility in the Kinki area, five in the Chugoku area, four
in the Shikoku area, and three in the Kyushu area of Japan). Of these 545 knee OA patients,
99 underwent conventional TKA (C-TKA), 342 underwent minimally invasive TKA surgery
(MIS-TKA), and 104 underwent UKA. MIS-TKA involves a skin incision less than 5 cm8), while UKA has less excision of the bone and
is regarded as a technique featuring minimal invasion of the quadriceps9, 10).Inclusion criteria were: (1) diagnosis of knee OA; and (2) indications for TKA and UKA.
Exclusion criteria were: (1) neurological findings such as motor paralysis; (2) marked
restrictions in range of motion as well as pain of joints other than the knees, and movement
limitations in getting up and walking; and (3) cognitive and mental dysfunctions. The
patients were managed according to prescribed clinical pathways, assuming the implementation
of a similar rehabilitation program at all thirteen facilities, and were planned to be
discharged 21 days after surgery. The rehabilitation program comprised: (1) a range of
motion exercises of the knee joint; (2) muscle-strengthening exercises of the gluteus
maximum, gluteus medius, and quadricep muscles; and (3) training in activities in daily
living (getting up, walking, and going up and down the stairs).The study was designed as a prospective cohort study aimed at analyzing the factors that
affect the amount of change in gait performance in patients undergoing TKA. Measurements
were taken before surgery and at two weeks postoperatively.As medical attributes, the following parameters were investigated using a questionnaire and
medical records: gender; age; BMI; severity of osteoarthritis of the knee and its K-L
classification11, 12); presence/absence of regular exercise habits; disability of the
nonoperative knee (unilateral and bilateral); and operative method (C-TKA, MIS-TKA, or UKA).
Regular exercise was defined as having the habit of engaging in exercise more than twice a
week and for more than half an hour each time.In the TUG test, the starting position is sitting on a chair leaning against a backrest,
with the hands resting on the thighs. Upon a start signal, a stopwatch measures the time for
the participant to stand up from the chair, walk 3 m, turn around, return to the chair, and
sit down. Two methods were performed: comfortable TUG, which is performed at a comfortable
walking speed; and maximum TUG, performed at maximum walking speed13).For maximum walking speed (MWS), the test was set up on a flat, non-slip, straight walkway,
and 5 m was established as the measurement distance. Three meters before and after the
measurement distance were reserved for acceleration and deceleration. Participants were
instructed to walk safely and as quickly as possible, without running. Measurement began as
soon as the participant either stepped on or passed the start line, and the walking time
until he/she passed the end line was recorded using a stopwatch. MWS (m/s) was calculated
using 5 m ÷ walking time (s)14).The change in TUG and MWS was calculated by subtracting the pre-operative value from the
post-operative value. As a result, if a change in TUG (∆TUG) was positive, TUG was prolonged
after surgery, whereas a change in MWS (∆MWS) was negative, MWS was decreased after
surgery.For statistical analysis, Wilcoxon signed rank test was used to compare the preoperative
and postoperative values of TUG and MWS. To identify possible factors related to the amount
of change (Δ) in TUG and MWS after the surgery, we performed the multiple regression
analysis (MRA). The amount of change in the comfortable TUG, maximum TUG, and MWS between
pre- and post-surgery were set as object variables, while the following parameters were
prepared as explanatory variables: gender; age; BMI; presence/absence of regular exercise
habits (Yes=0, No=1); degree of severity (ordinal scale of 0–4 in the K-L classification) as
well as disability of the nonoperative side of the knee (unilateral=0, bilateral=1); and
operative methods (dummy variables representing MIS-TKA and UKA were created by setting
C-TKA as a reference category).In order to adjust for possible influence of preoperative values to the analysis, we
deliberately introduced a preoperative variable corresponding to the object variable as a
control variable. The most appropriate combination of explanatory variables was selected
using a stepwise method. Because the sample size was large, we used the standard partial
regression coefficient (|rp|), instead of the p-value, as the criterion to determine the
significance of each explanatory variable. |rp| ≥0.1 was regarded as the significant effect
size15).In addition, to confirm the relationship between an object variable and factors detected by
MRA, a multi-way partitioning of object variable was performed and the results were
graphically shown as a two-factor stratification diagram. For example, if ΔTUG was found
associated with two factors: preoperative TUG and surgical mode, ΔTUG was first partitioned
by the level of preoperative TUG, and then further partitioned by surgical mode to see the
relative contribution of the two factors.Ethical considerations, explanations, and consent were made in compliance with the Helsinki
Declaration and Ethical Guidelines for Clinical Studies. We explained, in writing, the
content of our research to the participants, ensured they fully understood, and obtained
their written consent. The study was implemented on receipt of approval by Tokoha
University’s Ethics Committee (Approval No.: Revised-2018-501H).
RESULTS
The study included 127 men and 418 women, with mean ± SD ages of 74.4 ± 8.0 years and 74.2
± 7.6 years, respectively. The BMI of men was 25.3 ± 3.6 kg/m2, and that of women
was 25.3 ± 3.6 kg/m2. A total of 176 (32.3%) participants exercised regularly,
and 369 (67.7%) did not. According to the K-L classification of severity, 29 (5.3%)
participants were grade 2, 252 (46.2%) were grade 3, and 264 (48.4%) were grade 4. In terms
of impediments to the non-operated knee, 205 (37.6%) were unilateral, and 340 (62.4%) were
bilateral. As the operative method, 99 (18.1%) underwent C-TKA, 342 (62.8%) underwent
MIS-TKA, and 101 (18.5%) underwent UKA.The median of the comfortable TUG decreased significantly after the surgery from 12.9 s
before surgery to 14.9 s after surgery (p<0.0001), and the median of maximum TUG
decreased from 10.4 s before surgery to 12.1 s after surgery (p<0.0001) (Fig. 1). The median of MWS also decreased significantly from 1.04 m/s before surgery to 0.90
m/s after surgery (p<0.0001) (Fig. 2).
Fig. 1.
Comparison diagram of Timed Up and Go (TUG) between pre- and post-surgery.
The measurement values of the comfortable TUG (Fig. 1A) and maximum TUG (Fig. 1B)
are compared between pre- and post-surgery. The boxes and the line in the center show
the central 50% range and the median for each group.
Fig. 2.
Comparison diagram of maximum walking speed (MWS) between pre- and post-surgery.
The measurement values of MWS are compared between pre- and post-surgery.
The boxes and the line in the center show the central 50% range and the median for
each group.
Comparison diagram of Timed Up and Go (TUG) between pre- and post-surgery.The measurement values of the comfortable TUG (Fig. 1A) and maximum TUG (Fig. 1B)
are compared between pre- and post-surgery. The boxes and the line in the center show
the central 50% range and the median for each group.Comparison diagram of maximum walking speed (MWS) between pre- and post-surgery.The measurement values of MWS are compared between pre- and post-surgery.The boxes and the line in the center show the central 50% range and the median for
each group.A multiple regression analysis was performed to identify factors relating to ΔTUG and ΔMWS.
As shown in the upper block of Table
1, Δcomfortable TUG was significantly associated with age (rp=0.20), UKA
(−0.22), and MIS-TKA (−0.15). As shown in the middle block in Table 1, Δmaximum TUG was significantly associated with age
(0.21), UKA (−0.23), and MIS-TKA (−0.15). As shown in the bottom block of Table 1, ΔMWS was significantly associated with age
(−0.19), UKA (0.24), and MIS-TKA (0.18).
Table 1.
Multiple regression analysis exploring factors relating to post-surgical changes
in TUG and MWS
β: partial regression coefficient; SE(β): standard error of partial regression
coefficient; Stdβ: standard partial regression coefficient (≈partial correlation
coefficient: rp); R: multiple correlation coefficient; R2:
coefficient of determination.
β: partial regression coefficient; SE(β): standard error of partial regression
coefficient; Stdβ: standard partial regression coefficient (≈partial correlation
coefficient: rp); R: multiple correlation coefficient; R2:
coefficient of determination.These results are interpreted as follows: regarding ΔTUG, the higher the age, the steeper
the postoperative decline of TUG, and the decline was smaller by UKA and MIS-TKA than by
C-TKA. Likewise, regarding ΔMWS, the higher the age, the steeper the postoperative decrease
in MWS, whereas the decrease was less by UKA and MIS-TKA than by C-TKA. It is of note that
regardless of the object variable (preoperative value − postoperative value: Δ), the
preoperative values, which were set as control variable, were strongly related to the object
variable.For graphical interpretation of the MRA findings for each object variable, we drew
two-factor stratification diagrams. In Fig. 3, Δcomfortable TUG test was compared according to preoperative TUG and age. The
preoperative TUG was partitioned at 1st, 2nd, and 3rd quartiles to make four groups: “slow”,
“somewhat slow”, “somewhat fast”, and “fast”, while the age was partitioned at 70 and 80 to
make three groups: <70, 70–79, ≤80. The effect of age on Δcomfortable TUG was apparent
for patients who showed “slow” preoperative TUG, but not in other groups. In Fig. 4, Δcomfortable TUG was partitioned by preoperative TUG and operative modes.
Δcomfortable TUG was increased in the ascending order by UKA, MIS-TKA and C-TKA. This
tendency was more pronounced in patients whose preoperative TUG was somewhat slow.
Fig. 3.
A stratification diagram by preoperative values and by age vis-à-vis the amount of
change in comfortable Timed Up and Go (TUG).
The amount of change in the comfortable TUG test is compared by stratifying
preoperative values and age.
The boxes and the line in the center show the central 50% range and the median for
each group.
The lines connecting the medians between age subgroups were drawn to visualize the
magnitude of changes in values by age.
Fig. 4.
Stratification diagram by preoperative values and by operative method vis-à-vis the
amount of change in comfortable Timed Up and Go (TUG).
The amount of change in the comfortable TUG test is compared by stratifying
preoperative values and operative methods.
The boxes and the line in the center show the central 50% range and the median for
each group.
The lines connecting the medians between operative-mode subgroups were drawn to
visualize the magnitude of changes in values by operative modes.
A stratification diagram by preoperative values and by age vis-à-vis the amount of
change in comfortable Timed Up and Go (TUG).The amount of change in the comfortable TUG test is compared by stratifying
preoperative values and age.The boxes and the line in the center show the central 50% range and the median for
each group.The lines connecting the medians between age subgroups were drawn to visualize the
magnitude of changes in values by age.Stratification diagram by preoperative values and by operative method vis-à-vis the
amount of change in comfortable Timed Up and Go (TUG).The amount of change in the comfortable TUG test is compared by stratifying
preoperative values and operative methods.The boxes and the line in the center show the central 50% range and the median for
each group.The lines connecting the medians between operative-mode subgroups were drawn to
visualize the magnitude of changes in values by operative modes.In Figs. 5 and
6, Δmaximum TUG was again partitioned by preoperative TUG group and by age-group or by
operative modes. Δmaximum TUG was increased with age regardless of the preoperative TUG
level, although it is more pronounced in patients with “slow” preoperative TUG. On the other
hand, Δmaximum TUG was generally increased in the ascending order by UKA, MIS-TKA and C-TKA
with its tendency more pronounced in patients with “somewhat slow” preoperative TUG.
Fig. 5.
Stratification diagram by preoperative values and by age vis-à-vis the amount of
change in maximum Timed Up and Go (TUG).
The amount of change in the maximum TUG is compared by stratifying the preoperative
values and age.
The boxes and the line in the center show the central 50% range and the median for
each group.
The lines connecting the medians between age subgroups were drawn to visualize the
magnitude of changes in values by age.
Fig. 6.
Stratification diagram by preoperative values and by operative method vis-à-vis the
amount of change in maximum Timed Up and Go (TUG).
The amount of change in maximum TUG is compared by stratifying preoperative values
and operative methods.
The boxes and the line in the center show the central 50% range and the median for
each group.
The lines connecting the medians between operative-mode subgroups were drawn to
visualize the magnitude of changes in values by operative modes.
Stratification diagram by preoperative values and by age vis-à-vis the amount of
change in maximum Timed Up and Go (TUG).The amount of change in the maximum TUG is compared by stratifying the preoperative
values and age.The boxes and the line in the center show the central 50% range and the median for
each group.The lines connecting the medians between age subgroups were drawn to visualize the
magnitude of changes in values by age.Stratification diagram by preoperative values and by operative method vis-à-vis the
amount of change in maximum Timed Up and Go (TUG).The amount of change in maximum TUG is compared by stratifying preoperative values
and operative methods.The boxes and the line in the center show the central 50% range and the median for
each group.The lines connecting the medians between operative-mode subgroups were drawn to
visualize the magnitude of changes in values by operative modes.In Figs. 7 and
8, ΔMWS was again partitioned by preoperative MWS group and by age-group or by
operative modes. ΔMWS was slowed down by age regardless of preoperative MWS levels, although
it was more pronounced in patients categorized as “somewhat slow” preoperative MWS. On the
other hand, ΔMWS was generally slowed down in the ascending order by UKA, MIS-TKA and C-TKA
with its tendency more pronounced in patients belonged to “slow”, “somewhat slow”, or
“somewhat fast” preoperative MWS category.
Fig. 7.
Stratification diagram by preoperative values and by age vis-à-vis amount of change
in of maximum walking speed (MWS). The amount of change in MWS is compared by
stratifying the preoperative values and the and age.
The boxes and the line in the center show the central 50% range and the median for
each group.
The lines connecting the medians between age subgroups were drawn to visualize the
magnitude of changes in values by age.
Fig. 8.
Stratification diagram by preoperative values and by operative mode vis-à-vis amount
of change in of maximum walking speed (MWS).
The amount of change in MWS is compared by stratifying the preoperative values and
the operative method.
The boxes and the line in the center show the central 50% range and the median for
each group.
The lines connecting the medians between operative-mode subgroups were drawn to
visualize the magnitude of changes in values by operative modes.
Stratification diagram by preoperative values and by age vis-à-vis amount of change
in of maximum walking speed (MWS). The amount of change in MWS is compared by
stratifying the preoperative values and the and age.The boxes and the line in the center show the central 50% range and the median for
each group.The lines connecting the medians between age subgroups were drawn to visualize the
magnitude of changes in values by age.Stratification diagram by preoperative values and by operative mode vis-à-vis amount
of change in of maximum walking speed (MWS).The amount of change in MWS is compared by stratifying the preoperative values and
the operative method.The boxes and the line in the center show the central 50% range and the median for
each group.The lines connecting the medians between operative-mode subgroups were drawn to
visualize the magnitude of changes in values by operative modes.
DISCUSSION
Improvement in daily living after TKA and UKA depends on subsequent gait performance.
However, it has been shown that gait performance soon after TKA surgery is poorer than
before surgery, and that recovery takes time7). No studies have been performed to evaluate factors that are related
to postoperative changes in gait performance. On an occasion of conducting a multicenter
follow-up study of 545 knee OA patients undergoing knee arthroplasty, we tried to explore
possible factors that determine short-term postsurgical changes in TUG and MWS at two weeks.
As a result, among clinical parameters examined, we found age, preoperative TUG or MWS, and
operative modes were major factors determining the magnitude of post-arthroplasty changes in
TUG and MWS. However, other clinical variables such as gender, BMI, severity of OA changes,
habits of regular exercise were found irrelevant for the postoperative changes in gait
performance.As for our finding of age-related aggravation in post-surgical TUG (prolongation) and
post-surgical MWS (slow-down), there has been no such a report to our knowledge. However,
age-related changes in TUG and MWS have been well known. Shimada et al.16) investigated the changes in TUG enrolling 959 elderly
individuals (396 men and 563 women) and reported that TUG slowed with increased age in both
men and women. Seino et al.14)
investigated age- and gender-related differences in walking speed, using 4,683 healthy
residents aged over 65 (2,168 men and 2,515 women) as their participants. Judged from these
reports, our finding that the aggravation (slowing) of TUG and MWS immediately after the
surgery is worse in patients with higher age, especially among those whose preoperative TUG
were classified as “slow”, is quite understandable.Regarding our finding of lesser slow-down of walking ability (TUG and MWS) at two weeks
after arthroplasty by the surgical modes of UKA and MIS-TKA compared to C-TKA, there have
been many reports. Jones et al.17)
examined MWS and walking pattern of 12 TKA and 12 UKA patients at 12 months after the
surgery, and compared the results with those of 121 healthy individuals. Their results
showed that UKA patients walked faster than TKA patients, with articular and muscular
movements that resembled those of healthy individuals, while TKA patients walked with
decreased knee extension movements and avoidance of using quadriceps, resulting in a gait
resembling that of patients suffering from anterior cruciate ligament injury. In other
words, compared to C-TKA patients, UKA patients suffered from less injuries to the
quadriceps and retained the knee-joint stability due to intact anterior cruciate ligament,
and therefore appeared to allow walking like healthy individuals. Similar findings were also
reported elsewhere18, 19). Therefore, this study not only confirmed that UKA results in less
of a slowdown in TUG and MWS than C-TKA, but also demonstrated that this improved
postsurgical walking ability by UKA occurred predominantly in patients whose preoperative
MWS belonged to the “slow” or “somewhat slow” categories.Regarding a beneficial post-surgical effect of MIS-TKA, Liebensteiner et al.20) enrolled 17 MIS-TKA patients and 20 C-TKA
patients and compared walking patterns at two months after surgery. They concluded that
MIS-TKA patients did not show superior gait patterns. On the other hand, Tsuji et al.21) measured physical activity with an
accelerometer, targeting ten patients in MIS-TKA group and ten patients in C-TKA group, and
made comparison at an acute stage of one and two weeks after the surgery. Their results
showed that MIS-TKA patients retained a significantly higher level of physical activity. In
summary, although the influence of MIS-TKA is minimal at two month postoperatively, during
the acute stages, MIS-TKA provided an improved performance compared to C-TKA: i.e., a lesser
slowdown in TUG and MWS. The finding is interpreted as due to minimal invasion to the
quadriceps and less bleeding during surgery.In this study, we demonstrated that beneficial effect of UKA is generally higher than
MIS-TKA, and a more beneficial effect can be obtained among UKA or MIS-TKA patients whose
presurgical MWS were in the categories of “slow” or “somewhat slow”.The limitation of this study was that we could evaluate the knee motor functions of
patients undergoing knee arthroplasty only during a peri-surgical time of a short duration:
before and two weeks after the arthroplasty. Therefore, post-surgical changes observed in
the walking abilities are not applicable to predict a long-term changes in patients’
capabilities, although our findings are relevant for proper management of peri-surgical
rehabilitation customized to the clinical feature of each patient. Another limitation of the
study was enrollment of insufficient number patients for more detailed evaluations of
sources of post-surgical changes in walking abilities such as BMI, severity of OA, etc.,
with lack of statistical power for the analysis.In summary, we conducted this prospective study of knee OA patients undergoing knee
arthroplasty, aimed at exploring sources of variation of peri-surgical changes in walking
abilities. Variable degrees of slow-down in comfortable/maximum TUG and MWS were observed at
two weeks after the surgery, and the magnitude were found dependent on patients’ age and
surgical modes. With advancing age, the post-surgical slow-down of TUG and MWS was stronger
especially among those whose preoperative walking abilities belonged to “slow” or “somewhat
slow” category. The post-surgical slow-down was found prominent in patients underwent C-TKA,
but was in a lesser degree among MIC-TKA patients, and in the least among UKA patients. The
degree of slow-down was again dependent on pre-surgical walking abilities. These findings
will be of practical importance to provide optimal peri-surgical rehabilitation in
consideration of clinical features of each patient.
Authors: Michael J Bade; Pamela Wolfe; Joseph A Zeni; Jennifer E Stevens-Lapsley; Lynn Snyder-Mackler Journal: J Orthop Res Date: 2012-04-26 Impact factor: 3.494
Authors: Bernd Friesenbichler; Julia F Item-Glatthorn; Vanessa Wellauer; Fabian von Knoch; Nicola C Casartelli; Nicola A Maffiuletti Journal: Knee Date: 2018-05-07 Impact factor: 2.199