03 December 2024 : Clinical Research
Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study
Chen Ranran12ACDEG, Lei Jinming3ACD, Liao Yujie12BC, Jin Yiping12BC, Wang Xue4CD, Li Hong1BD, Bi Yanlong5ACF*, Zhu Haohao12ABFGDOI: 10.12659/MSM.945483
Med Sci Monit 2024; 30:e945483
Table 1 Demographic and clinical information on the patients in the study.
Characteristics | Training+Testing Set | Testing Set |
---|---|---|
Number of participants | 478 | 96 |
Number of eyes | 956 | 192 |
Age (y), mean±SD | 51.21±16.65 | 49.26±16.11 |
Male/female eyes, n (%) | 526/436 (55.02/44.98) | 100/92 (52.08/47.92) |
BMI (kg/m), mean±SD | 23.46±2.93 | 23.52±3.08 |
SBP10am (mmHg), mean±SD | 120.81±14.90 | 121.47±12.05 |
DBP10am (mmHg), mean±SD | 75.13±10.00 | 75.15±9.37 |
MAP10am (mmHg), mean±SD | 90.36±10.35 | 90.59±9.35 |
C/D ratio, mean±SD | 0.61±0.18 | 0.59±0.19 |
CCT (μm), mean±SD | 529.54±38.46 | 533.0±33.93 |
RE (D), mean±SD | −2.72±3.55 | −2.57±3.51 |
MSO, n (%) | ||
Number of MHNW | 562 (58.79) | 127 (66.14) |
Number of MHO | 200 (20.92) | 37 (19.27) |
Number of MUNW | 64 (6.69) | 13 (5.74) |
Number of MUO | 130 (13.60) | 17 (8.85) |
Diagnosis by eye, n (%) | ||
Glaucoma suspect | 570 (59.62) | 112 (58.33) |
Primary open-angle glaucoma | 308 (32.22) | 66 (33.34) |
Primary angle-closure glaucoma | 78 (8.16) | 16 (8.33) |
Number of anti-glaucoma drugs used | ||
0, n (%) | 646 (67.57) | 129 (67.18) |
1, n (%) | 226 (23.64) | 42 (21.87) |
2, n (%) | 74 (7.74) | 17 (8.85) |
3, n (%) | 8 (0.84) | 4 (2.1) |
4, n (%) | 2 (0.21) | 2 (1.04) |
Duration of anti-glaucoma drugs used, (y), mean±SD | 0.67±3.44 | 0.69±4.12 |
IOP10am (mmHg) (SD) | 18.40±4.72 | 19.19±4.38 |
IOP12pm (mmHg), mean±SD | 18.18±4.68 | 18.29±3.86 |
IOP2pm (mmHg), mean±SD | 17.73±4.70 | 17.82±3.75 |
IOP4pm (mmHg), mean±SD | 17.73±4.76 | 18.09±4.25 |
24-h IOP flucts (mmHg), mean±SD | 7.11±3.41 | 6.99±3.23 |
24-h IOP max (mmHg), mean±SD | 22.08±5.68 | 22.48±4.89 |
24-h IOP min10 (mmHg), mean±SD | 14.97±3.70 | 15.48±3.4 |
24-h IOP avg (mmHg), mean±SD | 18.20±4.37 | 18.65±3.71 |
IOP flucts exceeding 8 mmHg in a 24-h period, eyes (%) | 285 (29.81) | 52 (27.08) |
MOPP10am (mmHg), mean±SD | 41.72±7.96 | 41.2±7.79 |
SOPP10am (mmHg), mean±SD | 102.23±14.79 | 102.28±12.86 |
DOPP10am (mmHg), mean±SD | 56.55±10.32 | 55.96±10.6 |
S10am (mmHg/h), mean±SD | −0.11±1.26 | −0.15±1.25 |
S12pm (mmHg/h), mean±SD | −0.22±1.36 | −0.24±1.08 |
S2pm (mmHg/h), mean±SD | −0.22±1.26 | −0.23±1.09 |
Data are presented as mean±standard deviation or percentage, unless otherwise indicated. y – year; BMI – body mass index; SBP10am – systolic blood pressure at 10: 00 AM; DBP10am – diastolic blood pressure at 10: 00 AM; MAP10am – mean arterial pressure at 10: 00AM; CCT – central corneal thickness; C/D ratio – cup-to-disc ratio; RE – refractive error; D – diopters; MSO – metabolic status and obesity; MHNW – metabolic healthy and normal weight; MHO – metabolic healthy and obese; MUNW – metabolic unhealthy and normal weight; MUO – metabolic unhealthy and obese; IOP10am – intraocular pressure at 10: 00 AM; IOP12pm – intraocular pressure at 12: 00 PM; IOP2pm – intraocular pressure at 2: 00 PM; IOP4pm – intraocular pressure at 4: 00 PM; 24-h IOP flucts – the intraocular pressure fluctuations in a 24-hour period; 24-h IOP max: –the maximum intraocular pressure in a 24-hour period; 24-h IOP min – the minimum intraocular pressure in a 24-hour period; 24-h IOP avg – the average intraocular pressure in a 24-hour period; IOP flucts exceeding 8 mmHg in a 24-h period – the intraocular pressure fluctuations exceeding 8 mmHg in a 24-hour period; MOPP10am – mean ocular perfusion pressure at 10: 00 AM; SOPP10am – systolic ocular perfusion pressure at 10: 00 AM; DOPP10am –, diastolic ocular perfusion pressure at 10: 00 AM; S10am – the slope of the diurnal curve at 10: 00 AM; S12pm – the slope of the diurnal curve at 12: 00 PM; S2pm – the slope of the diurnal curve at 2: 00 PM; SD – standard deviation. |