Temporal and spatial patterns in the rate of alcohol withdrawal syndrome in a defined community

Correlation between Streptococcus bovis bacteremia and density of cows in Galicia, northwest of Spain

BACKGROUND

There are few data on the epidemiology of infections caused by Streptococcus bovis (Sb). Some studies suggest that both residence in rural areas and contact with livestock could be potential risk factors.

METHODS

We performed a retrospective study for the period 2005-2016 of all cases of bacteremia caused by Sb in Galicia (a region in the northwest of Spain). The association between the incidence rate of Sb bacteremia and the number of cattle by province and district was analyzed.

RESULTS

677 cases were included with a median age of 76 years, 69.3% males. The most frequent infections were endocarditis (234 cases, 34.5%), primary bacteremia (213 cases, 31.5%) and biliary infection (119 cases, 17.5%). In 252 patients, colon neoplasms were detected (37.2%). S. gallolyticus subsp. gallolyticus was the predominant species (52.3%). Mortality was 15.5% (105 cases). The annual incidence rate was 20.2 cases/10⁶ inhabitants and was correlated with the density of cattle (p < 0.001), but not with rurality. When comparing the two provinces with a strong predominance of rural population, but with important differences in the number of cattle, such as Orense and Lugo, with 6% and 47.7% of Galician cattle, respectively, the rates were very different: 15.8 and 43.6 cases/10⁶, respectively, with an RR of 2.7 (95% CI, 2.08-3.71). Some districts of the province of Lugo had rates higher than 100 cases/10⁶ inhabitants.

CONCLUSIONS

Our study shows a significant correlation between the rates of Sb bacteremia and cattle density, suggesting a possible transmission of Sb from cows to people.

Epidemiological and sociodemographic factors associated with complicated alcohol withdrawal syndrome

OBJECTIVES

To analyse the influence of epidemiological and sociodemographic factors in complicated alcohol withdrawal syndrome (AWS).

MATERIAL AND METHODS

A multicentre, observational prospective study was conducted on consecutively added patients with AWS hospitalised in internal medicine departments. We recorded sociodemographic, epidemiological, clinical and progression data. Complicated AWS was defined as that which progressed with seizures or delirium tremens.

RESULTS

We studied 228 episodes of AWS in 219 patients. The mean age was 54.5 years (SD, 11.5), and 90.8% were men. AWS was the cause for hospitalisation in 39.9% of the patients. Some 27.1% of the cases presented seizures, and 32.4% presented delirium tremens. The daily quantity of alcohol ingested was 17.8 standard drink units (SD, 21.4), with 16.6 years of dependence (SD, 11.3). The pattern of alcohol abuse was regular in 82.8% of the patients. Some 38.4% of the patients were married or had a partner, and 45.6% had children. Some 72.7% of the patients were unemployed or retired. Some 68.5% had only completed primary studies. Some 4.8% consumed cannabis, 5.2% consumed cocaine and 3% consumed opioids. The independent variables related to complicated AWS were consumption of a drug other than alcohol (OR, 5.3; 95% CI 1.5-18.7), low education level (OR, 3.4; 95% CI 1.6-7.3) and hospitalisation for AWS (OR, 2.9; 95% CI 1.5-5.6). The model's receiver operating characteristic area was 0.718 (95% CI 0.643-0.793).

CONCLUSIONS

Concomitant drug abuse and a low educational level could help identify patients at risk of complicated AWS.

Alcohol, nicotine, and iatrogenic withdrawals in the ICU

OBJECTIVES

The neurophysiology, risk factors, and screening tools associated with alcohol withdrawal syndrome in the ICU are reviewed. Alcohol withdrawal syndrome assessment and its treatment options are discussed. Description of nicotine withdrawal and related publications specific to the critically ill are also reviewed. A brief comment as to sedative and opiate withdrawal follows.

DATA AND SUMMARY

The role of currently published alcohol withdrawal syndrome pharmacologic strategies (benzodiazepines, ethanol, clomethiazole, antipsychotics, barbiturates, propofol, and dexmedetomidine) is detailed. Studies on nicotine withdrawal management in the ICU focus mainly on the safety (mortality) of nicotine replacement therapy. Study characteristics and methodological limitations are presented.

CONCLUSION

We recommend a pharmacologic regimen titrated to withdrawal symptoms in ICU patients with alcohol withdrawal syndrome. Benzodiazepines are a reasonable option; phenobarbital appears to confer some advantages in combination with benzodiazepines. Propofol and dexmedetomidine have not been rigorously tested in comparative studies of drug withdrawal treatment; their use as additional or alternative strategies for managing withdrawal syndromes in ICU patients should therefore be individualized to each patient. Insufficient data preclude recommendations as to nicotine replacement therapy and management of iatrogenic drug withdrawal in ICU patients.

Long-term mortality of patients admitted to the hospital with alcohol withdrawal syndrome

BACKGROUND

Although it is well known that alcoholism increases long-term mortality, there is a paucity of data regarding long-term prognosis in alcoholic patients who have an episode of alcohol withdrawal syndrome (AWS).

METHODS

We studied a cohort of 1,265 individuals with severe AWS who were admitted to a single university hospital between 1996 and 2006. Median age was 49 years (range 18 to 89 years). A total of 1,085 (85.8%) were men. Median follow-up was 34 months (range 0 to 121 months). Survival of patients with AWS was compared with that of a reference cohort of 1,362 individuals from the same area. In addition, age- and sex-standardized mortality ratios were calculated using the general population from the region (Galicia, Spain) as the reference.

RESULTS

The risk of mortality was higher in the cohort of patients with AWS than in the reference cohort after adjusting for age, sex, and smoking (hazard ratio 12.7; 95% CI 9.1 to 17.6; p < 0.001). The standardized mortality ratio in patients with AWS was 8.6 (95% CI 7.7 to 9.7). Age, smoking, serum creatinine, serum bilirubin, and prothrombin time at baseline were independently associated with mortality among patients with AWS.

CONCLUSIONS

Long-term mortality is highly increased in patients who have a history of AWS. Liver and kidney dysfunction are independent predictors of long-term mortality in patients with AWS.