Compositional and Drug-Resistance Profiling of Pathogens in Patients with Severe Acute Pancreatitis
Background: Infection is one of the important causes of death in patients with severe acute pancreatitis (SAP), but the bacterial spectrum and antibiotic resistance are constantly changing. Making good use of antibiotics and controlling multi-drug-resistant (MDR) bacterial infections are important steps in improving the cure rate of SAP.
Methods: A total of 171 patients were enrolled in this study; the abdominal drainage fluid, sputum, blood, bile, deep venous catheter and urine of patients were cultured, identified and tested for resistance with a blood culture apparatus and microbiological analyzer. The associated results and hospitalization data were analyzed.
Results: A total of 461 strains of pathogenic bacteria were detected, including 223 (48.4%) gram-negative bacterial strains, 190 (41.2%) gram-positive bacterial strains and 48 (10.4%) fungal strains. The detection rates of resistance in gram-negative and gram-positive bacterial strains were 48.0% (107/223) and 25.3% (48/190), respectively. There were significant differences between the MDR group and the non-MDR group for the factors of precautionary antibiotic use, kinds of antibiotics used, receipt of carbapenem, tracheal intubation, hemofiltration and number of hospitalization days in the intensive care unit. Unconditional logistic regression revealed 2 risk factors for MDR bacterial infection.
Conclusions: Our results illustrate that gram-negative bacteria were the most common pathogens in SAP infection, and the proportion of gram-positive bacteria increased notably. The rate of antibiotic resistance was higher than previously reported. Unconditional logistic regression analysis showed that using more types of antibiotics and the number of hospitalization days in the ICU were the risk factors associated with MDR bacterial infection.
On 01 Dec, 2020
On 01 Dec, 2020
On 25 Nov, 2020
Received 20 Nov, 2020
On 30 Sep, 2020
Received 26 Sep, 2020
Invitations sent on 25 Sep, 2020
On 25 Sep, 2020
On 23 Sep, 2020
On 22 Sep, 2020
On 22 Sep, 2020
Posted 03 Aug, 2020
Received 19 Aug, 2020
On 19 Aug, 2020
Received 08 Aug, 2020
On 04 Aug, 2020
Invitations sent on 03 Aug, 2020
On 03 Aug, 2020
On 20 Jul, 2020
On 19 Jul, 2020
On 19 Jul, 2020
On 17 Jul, 2020
Compositional and Drug-Resistance Profiling of Pathogens in Patients with Severe Acute Pancreatitis
On 01 Dec, 2020
On 01 Dec, 2020
On 25 Nov, 2020
Received 20 Nov, 2020
On 30 Sep, 2020
Received 26 Sep, 2020
Invitations sent on 25 Sep, 2020
On 25 Sep, 2020
On 23 Sep, 2020
On 22 Sep, 2020
On 22 Sep, 2020
Posted 03 Aug, 2020
Received 19 Aug, 2020
On 19 Aug, 2020
Received 08 Aug, 2020
On 04 Aug, 2020
Invitations sent on 03 Aug, 2020
On 03 Aug, 2020
On 20 Jul, 2020
On 19 Jul, 2020
On 19 Jul, 2020
On 17 Jul, 2020
Background: Infection is one of the important causes of death in patients with severe acute pancreatitis (SAP), but the bacterial spectrum and antibiotic resistance are constantly changing. Making good use of antibiotics and controlling multi-drug-resistant (MDR) bacterial infections are important steps in improving the cure rate of SAP.
Methods: A total of 171 patients were enrolled in this study; the abdominal drainage fluid, sputum, blood, bile, deep venous catheter and urine of patients were cultured, identified and tested for resistance with a blood culture apparatus and microbiological analyzer. The associated results and hospitalization data were analyzed.
Results: A total of 461 strains of pathogenic bacteria were detected, including 223 (48.4%) gram-negative bacterial strains, 190 (41.2%) gram-positive bacterial strains and 48 (10.4%) fungal strains. The detection rates of resistance in gram-negative and gram-positive bacterial strains were 48.0% (107/223) and 25.3% (48/190), respectively. There were significant differences between the MDR group and the non-MDR group for the factors of precautionary antibiotic use, kinds of antibiotics used, receipt of carbapenem, tracheal intubation, hemofiltration and number of hospitalization days in the intensive care unit. Unconditional logistic regression revealed 2 risk factors for MDR bacterial infection.
Conclusions: Our results illustrate that gram-negative bacteria were the most common pathogens in SAP infection, and the proportion of gram-positive bacteria increased notably. The rate of antibiotic resistance was higher than previously reported. Unconditional logistic regression analysis showed that using more types of antibiotics and the number of hospitalization days in the ICU were the risk factors associated with MDR bacterial infection.