Thoracolumbar kyphosis in postmenopausal osteoporosis patients without vertebral compression fractures
Introduction
Osteoporosis is the most common metabolic bone disease in the elderly, which can lead to bone loss and fragility fractures (1). Postmenopausal women have a higher risk of osteoporosis, with previous reports indicating that about 20% of postmenopausal women will suffer from osteoporosis (2). Postmenopausal osteoporosis patients have reduced bone mineral density and are prone to serious adverse consequences such as vertebral compression fractures and thoracolumbar kyphosis(TLK) (3,4). TLK can lead to serious physical, emotional, and economic consequences (5-8). Previous studies believed that the thoracolumbar kyphosis was due to compression fracture of the vertebral body (9-12). However, there is little discussion about the presence of thoracolumbar kyphosis in postmenopausal osteoporosis patients without VCF, and the role of bone mineral density in thoracolumbar kyphosis is unclear
Therefore, the purpose of this study is to investigate whether postmenopausal osteoporosis women without VCF suffer from TLK, and whether the bone mineral density (BMD) of postmenopausal osteoporosis women can predict the occurrence of TLK. We present the following article in accordance with the STARD reporting checklist (available at https://atm.amegroups.com/article/view/10.21037/atm-21-6285/rc).
Methods
Study participants
This retrospective cohort study collected patient information from our hospital between December 2017 and December 2020. A total of 494 postmenopausal female patients were enrolled. The inclusion criteria were as follows: (I) BMD examination was performed in our hospital from December 2017 to December 2020; and (II) postmenopausal women aged >55 years old. The exclusion criteria were as follows: (I) patients with a previous history of osteoporotic VCF and history of spinal surgery (such as spinal fusion surgery, vertebroplasty, or kyphoplasty); (II) patients with congenital spinal deformities and scoliosis; (III) patients with a history of spinal tumors, ankylosing spondylitis, and other spondyloarthritis; and (IV) those with a history of hematological diseases (such as multiple myeloma) or acquired immunodeficiency diseases.
Finally, the patients were divided into study and control groups based on whether osteoporosis without VCF was diagnosed during hospitalization. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by Medical Ethics Committee of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (No. SYSEC-KY-KS-2021-244) and written informed consent was obtained from all patients.
Diagnostic criteria for osteoporosis and vertebral compression fractures
A dual-energy X-ray bone densitometer (Lunar DPX-IQ, GE, USA) was used to determine the BMD T-score of the lumbar spine and femoral neck. The diagnostic criteria for osteoporosis are based on the criteria established by the World Health Organization (WHO): T-score >−1.0 signifies normal bone mass; T-score between −1.0 and −2.5 denotes osteopenia; T-score ≤−2.5 indicates osteoporosis; fragility fractures (excluding other metabolic bone diseases) are diagnosed as osteoporosis even if the T-score >2.5. MRI is used to confirm the diagnosis of vertebral compression fractures. The vertebral compression fractures would be diagnosed when there is a loss of height in the anterior, middle, or posterior dimension of the vertebral body that exceeds 20%.
X-ray imaging measurement
The imaging parameters were as follows: TLK, lumbar lordosis (LL), TLK + LL, single-segment vertebral Cobb angle (SVC), intervertebral space height (ISH), and the height difference between the posterior and anterior edges of the intervertebral space (HDPAIS) (Figure 1 and Table 1). In this study, a positive Cobb angle was defined as kyphosis, while a negative Cobb angle was defined as lordosis. In all X-ray images, the patients were standing upright, kept their gaze horizontally and their knees straight. All measurements were performed on standard lateral spine radiographs.
Table 1
Spine sagittal parameters | Measurement method |
---|---|
TLK | Cobb angle between the T11 superior endplate and the L1 inferior endplate (Figure 1A) |
LL | Cobb angle between the L1 superior endplate and the S1 superior endplate (Figure 1A) |
TLK + LL | Cobb angle between the T11 superior endplate and the S1 superior endplate (Figure 1B) |
SVC | Cobb angle between one single-segment vertebral superior endplate and its inferior endplate (Figure 1C) |
ISH | The vertical distance between the upper and lower endplates at the midpoint of the intervertebral space (Figure 1C) |
HDPAIS | The difference in distance between the posterior and anterior edges of the adjacent vertebrae (Figure 1C) |
TLK, thoracolumbar kyphosis; LL, lumbar lordosis; SVC, single-segment vertebral Cobb angle; ISH, intervertebral space height; HDPAIS, height difference between the posterior and anterior edges of the intervertebral space.
Statistical analysis
SPSS24.0 statistical software (IBM, USA) was used for statistical analysis; continuous variables were expressed as mean ± standard deviation (), and the Pearson correlation coefficient was used to calculate the correlation between the intra-group parameters. The independent-sample t-test was used for normally distributed continuous variables in the inter-group analysis, while the two-sample non-parametric test was used for non-normally distributed variables. Binary logistic regression analysis and receiver operating characteristic (ROC) curve were used to determine independent risk factors and cut-off values, respectively. P<0.05 was considered to indicate statistically significant difference.
Results
Basic data
In the study group, there were 224 postmenopausal osteoporosis patients without VCF, with an average age of 68 years (55–90 years), body mass index (BMI) of (23.53±3.51) kg/m2, and a visual analogue scale (VAS) score of the most painful part in thoracolumbar spine of 2.24±0.92. The average BMD of the lumbar spine [BMD(L)] T-score was −2.3, and the average BMD of the femoral neck [BMD(F)] T-score was −2.3. The TLK, LL, and TLK + LL were 11.4°, −42.0°, and −45.8°, respectively. The average SVC of T11-L2 were 6.0°, 5.5°, 5.0°, and 4.9°, respectively. The average ISH of T11/T12-L5/S1 were 7.5, 7.9, 9.6, 10.6, 11.3, 10.7, and 10.0 mm, respectively. The average HDPAIS of T11/T12-L5/S1 was −3.0, −3.0, −2.8, −5.1, −6.1, −5.4, and −4.3 mm, respectively.
In the control group, there were 270 postmenopausal women without osteoporosis, with an average age of 66 years (55–84 years), BMI of (24.86±3.32) kg/m2, and a VAS score of the most painful part in thoracolumbar spine of 1.25±0.67. The average BMD(L) T-score was −0.8, and the average BMD(F) T-score was −0.8. The TLK, LL, TLK + LL were 1.34°, −40.0°, and −40.6°, respectively. The average SVC of T11-L2 were 4.8°, 2.7°, 3.3°, and 4.0°, respectively. The average ISH of T11/T12-L5/S1 were 7.1, 8.0, 9.1, 10.2, 10.1, 9.0, and 8.7 mm, respectively. The average HDPAIS of T11/T12-L5/S1 was −1.2, −2.0, −3.1, −4.4, −3.3, −2.8, and −2.5 mm, respectively. The details are described in Table 2.
Table 2
Variable | Study group (n=224) | Control group (n=270) | T/χ2/Z | P value |
---|---|---|---|---|
Age | 68.7±8.3 | 68.3±9.4 | 0.551 | 0.231 |
Height | 1.55±0.062 | 1.56±0.060 | −1.691 | 0.561 |
Weight | 56.5±9.50 | 60.2±8.27 | −4.623 | 0.017* |
BMI | 23.5±3.51 | 24.9±3.32 | −4.299 | 0.417* |
VAS | 2.24±0.92 | 1.25±0.67 | 13.771 | <0.01* |
BMD(L) | −2.3±0.7 | −0.8±1.1 | −19.73 | <0.01* |
BMD(F) | −2.3±0.6 | −0.8±1.0 | −21.462 | <0.01* |
TLK | 11.4±7.2 | 1.34±9.28 | 26.778 | <0.01* |
LL | −42.0±14.2 | −40.0±14.7 | −1.519 | <0.01* |
TLK + LL | −15.8±7.8 | −10.6±9.3 | −3.099 | 0.511 |
T11 SVC | 6.0±3.0 | 4.8±3.4 | 11.328 | <0.01* |
T12 SVC | 5.5±3.3 | 2.7±3.5 | 5.719 | <0.01* |
L1 SVC | 5.0±3.0 | 3.3±2.6 | 6.536 | <0.01* |
L2 SVC | 4.9±3.4 | 4.0±3.4 | 9.859 | <0.01* |
T11/T12 ISH | 7.5±1.2 | 7.1±1.1 | 4.225 | <0.01* |
T12/L1 ISH | 7.9±1.1 | 8.0±1.3 | −1.033 | 0.061 |
L1/L2 ISH | 9.6±1.5 | 9.1±1.6 | 3.408 | 0.061 |
L2/L3 ISH | 10.6±2.0 | 10.2±2.2 | 1.923 | 0.324 |
L3/L4 ISH | 11.3±2.3 | 10.1±2.6 | 5.097 | 0.415 |
L4/L5 ISH | 10.7±2.3 | 9.0±2.8 | 7.21 | <0.01* |
L5/S1 ISH | 10.0±2.6 | 8.7±2.5 | 5.734 | 0.296 |
T11/T12 HDPAIS | −3.0±2.5 | −1.2±2.1 | −8.951 | <0.01* |
T12/L1 HDPAIS | −3.0±2.5 | −2.0±2.4 | −4.452 | <0.01* |
L1/L2 HDPAIS | −2.8±2.3 | −3.1±3.3 | 1.392 | 0.165 |
L2/L3 HDPAIS | −5.1±2.9 | −4.4±2.3 | −1.932 | 0.054 |
L3/L4 HDPAIS | −6.1±3.0 | −3.3±3.2 | −5.685 | <0.01* |
L4/L5 HDPAIS | −5.4±3.5 | −2.8±2.6 | −7.3 | <0.01* |
L5/S1 HDPAIS | −4.3±2.2 | −2.5±0.8 | −6.11 | <0.01* |
*, P<0.05. BMI, body mass index; VAS, visual analogue scale; BMD, bone mineral density; TLK, thoracolumbar kyphosis; LL, lumbar lordosis; SVC, single-segment vertebral Cobb angle; ISH, intervertebral space height; HDPAIS, the height difference between the posterior and anterior edges of the intervertebral space.
The Shapiro-Wilk normal test was used for continuous variables. We found that age, BMI, serum calcium, serum phosphorus, TLK, LL, and TLK + LL showed a normal distribution. The VAS score, BMD(L), BMD(F), SVC, HDPAIS, b_Crosslaps, N-terminal midfragment of osteocalcin (N_MID), procollagen type 1 N-terminal propeptide (PINP), bone alkaline phosphatase, and 25-hydroxyvitamin D [25-(OH)D] were all non-normally distributed.
Comparison between the study and control groups
For categorical variables, the chi-square test was used for inter-group analysis. As for continuous variables, the independent-sample t-test was used for normally distributed; otherwise, the two-sample non-parametric test was used. We found that there were significant differences in BMD(L), BMD(F), TLK, LL, T11/12-L1/2 HDPAIS, and T11-L2 SVC between the study and control groups (Figure 2). There were no significant differences in sex, TLK + LL, serum calcium, serum phosphorus, serum iron, b_Crosslaps, or N_MID. These results indicated that the osteoporosis group had a lower BMD, higher TLK and LL, and a larger T11/12-L1/2 HDPAIS.
Binary logistic regression analysis and ROC curve analysis were used to determine the independent risk factors
Through binary logistic regression analysis, we found that BMD(L), BMD(F), T11/T12 HDPAIS, L1/L2 HDPAIS, PINP, and 25-(OH)D were independent risk factor for future TLK in postmenopausal women. The details are described in Table 3.
Table 3
Variable | B | P value | OR | 95% confidence interval of OR | |
---|---|---|---|---|---|
Lower bound | Upper bound | ||||
BMD(L) | −0.408 | <0.001* | 0.665 | 0.436 | 1.015 |
BMD(F) | −0.421 | <0.001* | 0.683 | 0.452 | 1.003 |
T11/T12 HDPAIS | −0.354 | 0.008* | 0.702 | 0.587 | 0.839 |
L1/L2 HDPAIS | 0.222 | 0.020* | 1.249 | 1.102 | 1.416 |
T11 SVC | 0.148 | 0.087 | 1.160 | 1.038 | 1.295 |
PINP | 0.037 | 0.043* | 1.037 | 1.013 | 1.062 |
Bone alkaline phosphatase | −0.038 | 0.239 | 0.963 | 0.940 | 0.986 |
25-(OH)D | 0.030 | 0.049* | 1.030 | 1.012 | 1.049 |
*, P<0.05. BMD, bone mineral density; HDPAIS, the height difference between the posterior and anterior edges of the intervertebral space; SVC, single-segment vertebral Cobb angle; PINP: procollagen type 1 N-terminal propeptide OR, odds ratio.
In order to further evaluate the degree of influence of each risk factor, the ROC curve was used for comparison and judgment. According to the ROC curve, the prediction accuracy of BMD(L) was the highest (the area under the curve was 0.848) (Figure 3 and Table 4). By calculating the critical value, we found that when the BMD(L) T-score <−1.65, postmenopausal women were more likely to develop TLK in the future (P<0.001, OR =0.665).
Table 4
Parameter | Area | Standard deviation | P value | 95% confidence interval | |
---|---|---|---|---|---|
Lower bound | Upper bound | ||||
BMD(L) | 0.848 | 0.017 | <0.001 | 0.815 | 0.882 |
BMD(F) | 0.847 | 0.017 | <0.001 | 0.815 | 0.883 |
T11/T12 HDPAIS | 0.693 | 0.024 | <0.001 | 0.646 | 0.741 |
L1/L2 HDPAIS | 0.443 | 0.026 | 00.03 | 0.393 | 0.493 |
PINP | 0.144 | 0.018 | <0.001 | 0.109 | 0.180 |
25-(OH)D | 0.086 | 0.014 | <0.001 | 0.058 | 0.113 |
BMD, bone mineral density; HDPAIS, the height difference between the posterior and anterior edges of the intervertebral space; PINP: procollagen type 1 N-terminal propeptide.
Intragroup analysis results of the study and control groups
The Pearson correlation coefficient was used to calculate the correlation between various parameters. In the study group, age was negatively correlated with BMD and positively correlated with TLK.
The above results indicated that in the osteoporotic group, older age was associated with worse BMD; the older the age, the worse the BMD and the greater the Cobb angle of the thoracolumbar junction, and thus, the more severe the TLK will be in the future. This finding further emphasized the importance of BMD in the prediction of TLK in postmenopausal women in the future. The details are described in Table 5.
Table 5
Variable | Age | BMI | VAS | BMD(L) | BMD(F) | TLK | LL | TLK + LL | T11 SVC | T12 SVC | L1 SVC | L2 SVC | T11/12 HDPAIS | T12/L1 HDPAIS | L1/L2 HDPAIS | PINP | Bone alkaline phosphatase | L25OHD3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Age | 1 | |||||||||||||||||
BMI | 0.073 | 1 | ||||||||||||||||
VAS | 0.150* | 0.042 | 1 | |||||||||||||||
BMD(L) | −0.347** | 0.048 | −0.077 | 1 | ||||||||||||||
BMD(F) | −0.331** | −0.021 | −0.043 | 0.098 | 1 | |||||||||||||
TLK | 0.271* | 0.015 | 0.044 | 0.003 | −0.099 | 1 | ||||||||||||
LL | −0.260* | 0.035 | −0.057 | 0.127 | 0.001 | −0.049 | 1 | |||||||||||
TLK + LL | −0.086 | −0.039 | −0.12 | 0.12 | −0.005 | −0.005 | 0.870** | 1 | ||||||||||
T11 SVC | −0.097 | 0.022 | −0.078 | −0.075 | −0.021 | 0.06 | −0.181* | 0.057 | 1 | |||||||||
T12 SVC | −0.121 | 0.039 | 0.008 | 0.001 | −0.021 | 0.057 | 0 | 0.240** | 0.604** | 1 | ||||||||
L1 SVC | −0.065 | 0.039 | −0.055 | −0.014 | 0.031 | −0.009 | 0.393** | 0.413** | 0.031 | 0.310** | 1 | |||||||
L2 SVC | −0.008 | 0.012 | −0.018 | 0.016 | 0.028 | 0.035 | 0.591** | 0.636** | −0.149* | 0.245** | 0.602** | 1 | ||||||
T11/12 HDPAIS | 0.084 | −0.077 | −0.125 | −0.037 | −0.04 | −0.121 | 0.107 | 0.093 | 0.065 | −0.027 | −0.023 | −0.071 | 1 | |||||
T12/L1 HDPAIS | 0.079 | −0.073 | −0.143 | −0.029 | −0.041 | −0.103 | 0.112 | 0.103 | 0.059 | −0.038 | −0.02 | 0.066 | 0.991** | 1 | ||||
L1/L2 HDPAIS | 0.028 | −0.105 | −0.069 | −0.054 | −0.113 | 0.044 | 0.055 | 0.085 | 0.051 | 0.004 | −0.013 | 0.033 | 0.545** | 0.542** | 1 | |||
PINP | 0.04 | 0.114 | 0.021 | −0.091 | −0.028 | 0.052 | 0.003 | 0.068 | 0.141* | 0.102 | −0.037 | 0.06 | 0.027 | 0.019 | 0.112 | 1 | ||
Bone alkaline phosphatase | 0.024 | −0.01 | 0.011 | −0.053 | −0.052 | −0.032 | −0.009 | 0.018 | 0.095 | 0.039 | 0.019 | −0.018 | 0.005 | 0.014 | −0.005 | 0.321** | 1 | |
L25OHD3 | 0.033 | −0.093 | −0.042 | 0.076 | 0.142* | −0.023 | −0.041 | −0.032 | 0.03 | −0.115 | −0.116 | −0.122 | 0.004 | −0.004 | −0.122 | −0.231** | −0.111 | 1 |
*, the correlation is significant at the 0.05 level (2-tailed); **, the correlation is significant at the 0.01 level (2-tailed). BMI, body mass index; VAS, visual analogue scale; BMD, bone mineral density; TLK, thoracolumbar kyphosis; LL, lumbar lordosi; SVC, single-segment vertebral Cobb angle; HDPAIS, the height difference between the posterior and anterior edges of the intervertebral space; PINP, procollagen type 1 N-terminal propeptide.
In the control group, age was negatively correlated with BMD. BMD(F) was positively correlated with bone alkaline phosphatase. The above results indicated that in postmenopausal non-osteoporotic women, the older the age, the worse the BMD. In addition, decreased bone alkaline phosphatase was associated with decreased BMD, which highlights that it may be possible to predict the changes in BMD using the decrease of bone alkaline phosphatase, so as to determine the possibility of TLK in the future. The details are described in Table 6.
Table 6
Variable | Age | BMI | VAS | BMD(L) | BMD(F) | TLK | LL | TLK + LL | T11 SVC | T12 SVC | L1 SVC | L2 SVC | T11/12 HDPAIS | T12/L1 HDPAIS | L1/L2 HDPAIS | PINP | Bone alkaline phosphatase | L25OHD3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Age | 1 | |||||||||||||||||
BMI | 0.043 | 1 | ||||||||||||||||
VAS | 0.260** | 0.079 | 1 | |||||||||||||||
BMD(L) | −0.159* | −0.007 | −0.041 | 1 | ||||||||||||||
BMD(F) | −0.119* | 0.074 | −0.089 | 0.356** | 1 | |||||||||||||
TLK | 0.081 | −0.029 | −0.024 | −0.109 | −0.039 | 1 | ||||||||||||
LL | −0.088 | 0 | −0.028 | 0.049 | 0.055 | −0.065 | 1 | |||||||||||
TLK + LL | −0.045 | −0.074 | −0.033 | 0.044 | 0.043 | −0.124* | 0.932** | 1 | ||||||||||
T11 SVC | −0.07 | −0.1 | −0.048 | 0.035 | −0.015 | −0.017 | 0.272** | 0.352** | 1 | |||||||||
T12 SVC | −0.105 | −0.131* | −0.086 | 0.008 | −0.015 | 0.026 | 0.289** | 0.256** | 0.647** | 1 | ||||||||
L1 SVC | 0.008 | −0.047 | −0.018 | 0.031 | 0.047 | −0.056 | −0.088 | 0.0.44 | 0.311** | 0.086 | 1 | |||||||
L2 SVC | −0.078 | −0.043 | −0.046 | −0.008 | −0.01 | −0.048 | −0.095 | 0.065 | 0.558** | 0.204** | 0.521** | 1 | ||||||
T11/12 HDPAIS | 0.054 | 0.046 | 0.015 | −0.025 | −0.063 | 0.02 | −0.012 | 0.034 | 0.104 | 0.212** | 0.275** | 0.117 | 1 | |||||
T12/L1 HDPAIS | 0.034 | 0.025 | 0.025 | −0.005 | −0.055 | −0.055 | 0.098 | 0.177** | 0.141* | 0.129* | 0.148* | 0.224** | 0.707** | 1 | ||||
L1/L2 HDPAIS | 0.043 | 0.144* | −0.007 | −0.072 | −0.027 | 0.037 | 0.065 | 0.066 | 0.024 | 0.113 | 0.149* | 0.183** | 0.561** | 0.681** | 1 | |||
PINP | 0.015 | −0.034 | 0.019 | 0.014 | −0.013 | −0.029 | 0.014 | 0.002 | −0.081 | −0.054 | 0.06 | −0.105 | −0.09 | −0.05 | −0.11 | 1 | ||
Bone alkaline phosphatase | −0.07 | −0.009 | −0.014 | −0.003 | 0.165** | 0.044 | −0.016 | −0.02 | 0.047 | 0.023 | 0.005 | −0.011 | −0.001 | −0.012 | −0.079 | 0.066 | 1 | |
L25OHD3 | −0.025 | 0.018 | 0.054 | −0.036 | −0.017 | −0.005 | −0.039 | −0.042 | −0.041 | −0.134* | 0.05 | −0.005 | −0.094 | −0.037 | −0.104 | 0.485** | 0.019 | 1 |
*, the correlation is significant at the 0.05 level (2-tailed); **, the correlation is significant at the 0.01 level (2-tailed). BMI, body mass index; VAS, visual analogue scale; BMD, bone mineral density; TLK, thoracolumbar kyphosis; LL, lumbar lordosis; SVC, single-segment vertebral Cobb angle; HDPAIS, the height difference between the posterior and anterior edges of the intervertebral space; PINP, procollagen type 1 N-terminal propeptide.
Discussion
This study describes the changes in the thoracolumbar sagittal sequence of postmenopausal osteoporosis patients without VCF. The results showed that the BMD of the osteoporosis group was generally lower than that of the non-osteoporosis group, and the difference between the two groups was statistically significant (P<0.01). The possible reason is that the lack of estrogen leads to bone loss and changes in bone tissue structure. Furthermore, the TLK of the osteoporosis group was generally larger than that of the non-osteoporosis group, and the difference between the two groups was statistically significant (P<0.01). We also found that even if there was no VCF, postmenopausal osteoporosis patients will still suffer from mild wedge-shaped deformations of the thoracolumbar junction (T11-L2 SVC was 4.9°–6°). The reason for this is that the low BMD and microstructural changes associated with osteoporosis might reduce the biomechanical strength of the vertebral body, especially in the anterior column (13). Longitudinal stress load destroys the endplate and trabecular bone of the vertebral body, leading to progressive collapse of the anterior cortex and a wedge-shaped deformation of the vertebral body (14). The thoracolumbar junction is the stress concentration area of the entire spine, so wedge-shaped deformations of the vertebral body are most obvious in the thoracolumbar spine (15). The TLK may be more important to the biomechanical environment of the spine than the thoracic kyphosis, because it produces a longer moment arm (16,17). Consistently, Lee et al. (18) found that there were significant differences in the parameters of the spine-pelvic sagittal plane between patients with osteoporosis and those without osteoporosis.
We also found that BMD(L) is the most important independent risk factor for TLK in postmenopausal women. When the BMD(L) T-score <−1.65, postmenopausal women were more likely to develop TLK in the future. We think this is because the BMD(L) represents the BMD of the entire spine vertebral body. Decreased BMD of the vertebral body indicates that the bone strength of the vertebral body is decreased, and the compressive strength of the vertebral body is weakened, resulting in compression of the anterior part of the vertebral body, and finally the occurrence of TLK.
Numerous researchers believe that TLK without VCF will not cause serious consequences (19,20). However, our study found that compared with the control group, the osteoporosis group had more severe TLK and higher VAS scores at admission, and the difference was statistically significant. This shows that the degree of TLK affects the patient’s pain perception. When the wedge-shaped deformation of the vertebral body becomes severe, not only will the TLK appear, but the overall sagittal plane of the spine will also be damaged, causing the center of gravity to move forward. This will increase the continuous tension of the back muscles, leading to chronic back pain. If decompensation occurs as the disease progresses, the spine becomes more prone to fractures, resulting in serious consequences (21). For these patients, we recommend strengthening the back muscles to restore the sagittal balance of the thoracolumbar spine. If the kyphosis is severe, crutches or even surgical correction are required to reduce the risk of accidental falls and fractures
There are some limitations in this study that should be considered. Firstly, since this is a retrospective study, all patient data came from a single center, and our results cannot establish any causal relationship. We cannot confirm the chronological sequence of BMD reduction and TLK. Follow-up prospective cohort studies can be used to clarify the relationship between the decrease in BMD and TLK in postmenopausal women.
Conclusions
For postmenopausal women, TLK will occur even if there is no VCF, and when the BMD(L) T-score <−1.65, postmenopausal women are more likely to develop TLK in the future. Since TLK increases the risk of VCF, it is better to correct the TLK before the fracture occurs instead of treating the patient after the fracture, so as to prevent the fracture. This will have a more positive effect on the life and health of patients
Acknowledgments
Funding: This study was supported by the Science and Technology Program of Guangzhou, China (201707010089); Medical Science and Technology Research Foundation of Guangdong Province, Guangzhou, China (A2021371); Basics and Application Basics of Guangzhou (202102020096); and Regenerative Medicine and Health Laboratory of Guangzhou, Guangdong (1102101201).
Footnote
Reporting Checklist: The authors have completed the STARD reporting checklist. Available at https://atm.amegroups.com/article/view/10.21037/atm-21-6285/rc
Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-21-6285/dss
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-21-6285/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was approved by Medical Ethics Committee of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (No. SYSEC-KY-KS-2021-244) and written informed consent was obtained from all patients. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013).
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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(English Language Editor: A. Kassem)