Smoking index- a measure to quantify cumulative smoking exposure

Surinder Pal Singh; Kailash Meena; Prabhnoor Kaur Saraya; Kirandeep Kaur; Kulwinder Kaur

Kamal Singh

Authors Details :
Surinder Pal Singh,
Kailash Meena,
Prabhnoor Kaur Saraya,
Kirandeep Kaur,
Kulwinder Kaur

Journal title : Panacea Journal of Medical Sciences

Publisher : IP Innovative Publication Pvt Ltd

Online ISSN : 2348-7682

Page Number : 71-74

Journal volume : 10

Journal issue : 2

309 Views Original Article

Background and Purpose: We aimed to investigate the effect of smoking on the risk of intracranial aneurysm (IA) rupture (IAR), specifically relationship between the number of cigarettes smoked per day (CPD) or smoking index and the risk of IAR. Materials and Methods: We performed a single-center case–control study of consecutive patients evaluated or treated for IA at our institution from June 2017 to July 2018. Cases were patients with a ruptured IA. Two age- and sex-matched controls with an unruptured IA were included per case. Conditional logistic regression models were used to assess the relationship between both the CPD and smoking index (CPD x years of smoking) and IAR. Results: The study population included 300 cases of IAR and 300 controls. The higher IAR risk was associated with cigarette smoking. Our subgroup analysis of smokers revealed a significant association between IAR risk and current smoking (OR, 2.8; 95% CI, 1.2–6.3; P = 0.012), current heavy smoking (CPD>20) (OR, 3.9; 95% CI, 1.4–11.0; P = 0.007), and a smoking index >800 (OR, 11.4; 95% CI, 2.3–24.5; P= 0.003). Conclusion: A dose–response relationship has been noted for intensity and duration of smoking consumption and increased risk of IAR. As smoking is modifiable, this finding is important to managing patients with IAs to quit or reduce smoking prior to life-threatening subarachnoid hemorrhage.