Aim: To document the CS rate, assess the pain intensity and preoperative factors that may predict post caesarean pain among women in the Obstetric unit of a Hospital Pulau Pinang in Malaysia.
Materials and Methods: A retrospective chart review of 400 caesarean deliveries was conducted between January 2013 and June 2014. The study encompassed patient's demographic data and obstetrics data. The overall pain scores since the time of surgery (2, 4, 8, 12, 24 and 48 hours postoperatively at rest and while moving) were assessed by visual analogue scale (VAS). The data were analyzed by using SPSS software (version 21.0 for Windows).
Results: The results demonstrate that within a 48 hours postoperative period, the average pain at rest and while moving was 0.40±0.013 and 0.83±0.017 (VAS score), respectively. Logistic regression identified that a higher BMI (≥30) (OR 1.056; 95% CI=1.003 to 1.113, p=0.04), an increase in operation time (> 60 minutes) (OR 1.009; 95% CI=1.000 to 1.018, p=0.049), Single women (OR 11.597; 95% CI=1.382 to 97.320, p=0.024), blood group type O (OR 1.857; 95% CI=0.543 to 2.040, p = 0.001) and general anesthesia (OR 3.689; 95% CI=1.653 to 8.232, p=0.001) were found to be independent predictors for postcaesarean pain intensity.
Conclusion: This study concluded that CS rate is 28% among women in the obstetric unit of a Hospital Pulau Pinang and the pain experienced by the study participants was mild. Moreover, the predictive factors for pain intensity may aid in identifying patients at greater risk for postoperative pain. This study concluded that the predictive methods proposed may aid in identifying patients at greater risk for postoperative pain.
SETTING: The study was conducted in the capital city of Thiruvananthapuram in the South Indian state of Kerala.
PARTICIPANTS: The study participants were community-dwelling individuals aged 60 years and above.
PRIMARY OUTCOME MEASURE: MCI was the primary outcome measure and was defined using the criteria by European Alzheimer's Disease Consortium. Cognitive assessment was done using the Malayalam version of Addenbrooke's Cognitive Examination tool. Data were also collected on sociodemographic variables, self-reported comorbidities like hypertension and diabetes, lifestyle factors, depression, anxiety and activities of daily living.
RESULTS: The prevalence of MCI was found to be 26.06% (95% CI of 22.12 to 30.43). History of imbalance on walking (adjusted OR 2.75; 95 % CI of 1.46 to 5.17), presence of depression (adjusted OR 2.17, 95 % CI of 1.21 to 3.89), anxiety (adjusted OR 2.22; 95 % CI of 1.21 to 4.05) and alcohol use (adjusted OR 1.99; 95 % CI of 1.02 to 3.86) were positively associated with MCI while leisure activities at home (adjusted OR 0.33; 95 % CI of 0.11 to 0.95) were negatively associated.
CONCLUSION: The prevalence of MCI is high in Kerala. It is important that the health system and the government take up urgent measures to tackle this emerging public health issue.