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. 2021 Apr 2;106(8):e2953–e2967. doi: 10.1210/clinem/dgab216

Table 2.

Patient demographic and clinical characteristics pre- and postmatching (overall cohort)

Treated (n = 103) Pre-match Metreleptin-naïvea (n = 230) Matched Metreleptin-naïve (n = 103)
Age at first symptoms in years, mean (SD) 13.8 (11.5) 19.2 (16.5)** 15.0 (14)
Age at start of treatment or index observation date in years, mean (SD) 24.7 (15.7) 21.2* (5.94) 25.3 (17.1)
Male, % 15.5 30.4** 21.4
Diagnosis of GL, % 60.2 35.2** 60.2
GL/PL subtype,b %
 AGL 12.6 3.0** 3.9*
 CGLc 42.7 31.3 55.3
 Generalized progeroid lipodystrophy 4.9 0.9 1.0
 APL 2.9 12.2* 2.9
 FPLDd 36.9 52.6* 36.9
Clinical characteristics at start of treatment or index observation date
 Elevated HbA1c (≥6.5%), % 78.6 24.3** 60.2**
 Triglyceride levels in mg/dL,b mean (SD) 1304 (2180) 472** (785) 486** (592)
 Experienced ≥1 episode of pancreatitis,b % 40.8 3.91** 10.7**
 Number of organs among heart, liver and kidneys with observed abnormalities, mean (SD) 2.049 (0.797) 0.613** (0.893) 1.650** (0.871)
  Heart, % 46.6 8.26** 29.1**
  Liver, % 92.2 35.7** 83.5
  Kidneys, % 66.0 17.4** 52.4*
 Patients with record of triglyceride levels, n 102 103e 82e
 Patients with record of HbA1c levels, n 103 118e 77e

* P < 0.05.

** P < 0.01 compared with metreleptin-treated cohort.

Abbreviations: AGL, acquired generalized lipodystrophy; CGL, congenital generalized lipodystrophy; FPLD, familial partial lipodystrophy; GL, generalized lipodystrophy; HbA1c, hemoglobin A1c; NA, not applicable; SD, standard deviation.

a Index observation date for the pre-match metreleptin-naïve cohort was defined as the time at which metreleptin-naïve patients achieved the mean age at the start of treatment of the treated sample (24.7 years) or the date of their last available observation, whichever comes first.

b GL/PL subtypes, triglyceride levels and pancreatitis were not used as matching parameters for the metreleptin-naïve cohort.

c Patients with mutations in AGPAT2 were the most common (n = 26 in treated cohort; n = 22 in matched metreleptin-naïve cohort), followed by those with mutations in BSCL2 (n = 15 in treated cohort; n = 15 in matched metreleptin-naïve cohort). The treated cohort also had 2 patients with CGL who had other mutations and 1 patient with CGL where genetic testing data were either missing or a mutation could not be confirmed. The matched metreleptin-naïve cohort also had 2 patients with PTRF4 mutations, 2 patients with CGL who had other mutations, and 16 patients with CGL where genetic testing data were either missing or a mutation could not be confirmed.

d Patients with mutations in LMNA were the most common (n = 20 in treated cohort; n = 25 in matched metreleptin-naïve cohort), followed by those with mutations in PPARG (n = 8 in treated cohort; n = 3 in matched metreleptin-naïve cohort). The treated cohort also had 1 patient with FPLD who had a PCYT1A mutation and 9 patients with FPLD where genetic testing data were either missing or a mutation could not be confirmed. The matched metreleptin-naïve cohort also had 3 patients with Köbberling type FPLD; 5 patients with FPLD who had other mutations, and 2 patients with FPLD where genetic testing data were either missing or a mutation could not be confirmed.

e Counts only include patients who have lab measurements taken on or after their index observation date.