Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors

Compressed mini-tablets in sachets or capsules are an increasingly prevalent oral solid dosage form for pediatric products. While resembling adult tablets, additional care is required to control weight and potency (blend uniformity) variation due to their small size (≤2.5 mm average diameter). Addit...

Full description

Bibliographic Details
Main Authors: Brandon G. Gerberich, Grace A. Okoh, James C. DiNunzio, Michael B. Lowinger
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Pharmaceutics
Subjects:
Online Access:https://www.mdpi.com/1999-4923/15/2/594
_version_ 1797618667435851776
author Brandon G. Gerberich
Grace A. Okoh
James C. DiNunzio
Michael B. Lowinger
author_facet Brandon G. Gerberich
Grace A. Okoh
James C. DiNunzio
Michael B. Lowinger
author_sort Brandon G. Gerberich
collection DOAJ
description Compressed mini-tablets in sachets or capsules are an increasingly prevalent oral solid dosage form for pediatric products. While resembling adult tablets, additional care is required to control weight and potency (blend uniformity) variation due to their small size (≤2.5 mm average diameter). Additionally, sachet fill count errors complicate dose accuracy as they are difficult to resolve with weight-checking equipment. This study quantified the probability of failing content uniformity (CU) specifications (which results in the inability to release a batch) defined in USP <905> using a Monte Carlo computational model. Failure risk was modeled as a function of sachet fill count, mini-tablet weight, potency distribution, and fill error frequency. The model allows product developers to (1) determine appropriate fill counts based on anticipated product weight and potency relative standard deviation (RSD), (2) set fill error probability tolerances for sachet filling processes, (3) identify CU improvement opportunities, and (4) quantify the probability of CU failure informing risk management activities and risk disclosure for regulatory agencies. A representative product with weight and potency RSD no greater than 5%, fill count of 1–4 mini-tablets per sachet, and fill error probability per mini-tablet filled of 0.1% may experience CU batch failure probabilities as high as 8.23%, but only 0.283% if the fill count is increased to 5–10 mini-tablets per sachet. Generally, fill counts of less than five mini-tablets per sachet should be avoided where possible.
first_indexed 2024-03-11T08:16:49Z
format Article
id doaj.art-5bebb8bac66a4b92baa7e3f95d5c3f3f
institution Directory Open Access Journal
issn 1999-4923
language English
last_indexed 2024-03-11T08:16:49Z
publishDate 2023-02-01
publisher MDPI AG
record_format Article
series Pharmaceutics
spelling doaj.art-5bebb8bac66a4b92baa7e3f95d5c3f3f2023-11-16T22:42:02ZengMDPI AGPharmaceutics1999-49232023-02-0115259410.3390/pharmaceutics15020594Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill ErrorsBrandon G. Gerberich0Grace A. Okoh1James C. DiNunzio2Michael B. Lowinger3Oral Formulation Sciences, Merck & Co., Inc., Kenilworth, NJ 07065, USAOral Formulation Sciences, Merck & Co., Inc., Kenilworth, NJ 07065, USAOral Formulation Sciences, Merck & Co., Inc., Kenilworth, NJ 07065, USAOral Formulation Sciences, Merck & Co., Inc., Kenilworth, NJ 07065, USACompressed mini-tablets in sachets or capsules are an increasingly prevalent oral solid dosage form for pediatric products. While resembling adult tablets, additional care is required to control weight and potency (blend uniformity) variation due to their small size (≤2.5 mm average diameter). Additionally, sachet fill count errors complicate dose accuracy as they are difficult to resolve with weight-checking equipment. This study quantified the probability of failing content uniformity (CU) specifications (which results in the inability to release a batch) defined in USP <905> using a Monte Carlo computational model. Failure risk was modeled as a function of sachet fill count, mini-tablet weight, potency distribution, and fill error frequency. The model allows product developers to (1) determine appropriate fill counts based on anticipated product weight and potency relative standard deviation (RSD), (2) set fill error probability tolerances for sachet filling processes, (3) identify CU improvement opportunities, and (4) quantify the probability of CU failure informing risk management activities and risk disclosure for regulatory agencies. A representative product with weight and potency RSD no greater than 5%, fill count of 1–4 mini-tablets per sachet, and fill error probability per mini-tablet filled of 0.1% may experience CU batch failure probabilities as high as 8.23%, but only 0.283% if the fill count is increased to 5–10 mini-tablets per sachet. Generally, fill counts of less than five mini-tablets per sachet should be avoided where possible.https://www.mdpi.com/1999-4923/15/2/594mini-tabletcontent uniformityfill countsachetfill errorsdose uniformity
spellingShingle Brandon G. Gerberich
Grace A. Okoh
James C. DiNunzio
Michael B. Lowinger
Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors
Pharmaceutics
mini-tablet
content uniformity
fill count
sachet
fill errors
dose uniformity
title Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors
title_full Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors
title_fullStr Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors
title_full_unstemmed Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors
title_short Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors
title_sort pediatric mini tablets predicting the hidden risk of fill errors
topic mini-tablet
content uniformity
fill count
sachet
fill errors
dose uniformity
url https://www.mdpi.com/1999-4923/15/2/594
work_keys_str_mv AT brandonggerberich pediatricminitabletspredictingthehiddenriskoffillerrors
AT graceaokoh pediatricminitabletspredictingthehiddenriskoffillerrors
AT jamescdinunzio pediatricminitabletspredictingthehiddenriskoffillerrors
AT michaelblowinger pediatricminitabletspredictingthehiddenriskoffillerrors