Spontaneous retroperitoneal haemorrhage from pancreatoduodenal artery (PDA) rupture and associated complications.

Spontaneous retroperitoneal haemorrhage (SRH) is rare. It may present with abdominal or back pain with or without haemodynamic instability. Aggressive resuscitation while investigating the cause of bleeding and providing haemostasis are the standard of care. Subsequent close monitoring is necessary to identify early complications.This study reports three patients who presented to our institution within the last 5 years with SRH from a ruptured pancreaticoduodenal artery (PDA) aneurysm. Each patient had a unique presentation, complications and treatment demonstrating the variability and complexity of SRH. One patient presented with sudden abdominal pain and hypovolaemic shock, underwent angioembolisation and had an eventful recovery. Another patient presented similarly and was treated via angioembolisation but experienced gastric outlet obstruction and obstructive jaundice requiring surgical haematoma evacuation. Another patient had an incidental finding of haemoperitoneum during laparoscopic cholecystectomy that was subsequently diagnosed as SRH resulting from a PDA aneurysm rupture secondary to medial arcuate ligament syndrome.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review.

BACKGROUND: Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients. METHODS: The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed. RESULTS: Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients' race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies. CONCLUSIONS: Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.