Retrospective Study
Copyright ©The Author(s) 2024.
World J Orthop. Aug 18, 2024; 15(8): 722-733
Published online Aug 18, 2024. doi: 10.5312/wjo.v15.i8.722
Table 1 Distribution of gender, joint type, affected joint, imaging, and Echo results
Variables
Attributes
N
%
GenderMale2650.0
Female2650.0
Joint typeNative3363.5
Prosthetic1936.5
Affected jointsKnee4280.8
Hip47.7
Shoulder23.8
Ankle23.8
Elbow11.9
Sterno-clavicular11.9
ImagingJoint effusion1834.6
Joint effusion and osteomyelitis35.8
Joint swelling11.9
Loosening of prosthesis 11.9
Not done815.4
Prosthetic joint fluency11.9
Soft tissue swelling1834.6
Soft tissue swelling and osteomyelitis23.8
EchoJoint effusion23.8
Loosening of prosthesis11.9
No vegetations 2038.5
Not done2242.3
Soft tissue swelling47.7
Vegetations35.8
Table 2 Organisms in native and prosthetic joints
Organism
N
%
Native joints
Bacteroides stercoris13.0
Coagulase-negative staphylococcus13.0
Enterobacter cloacae13.0
Enterococcus faecalis13.0
ESBL E. coli39.1
Lactobacillus13.0
Leuconostoc13.0
MRSA824.2
Polymicrobial13.0
Pseudomonas aeruginosa618.2
Salmonella13.0
Staphylococcus aureus MSSA515.2
Staphylococcus haemolyticus13.0
Streptococcus uberis13.0
Tuberculosis13.0
Prosthetic joints
Brucella spp421.1
Coagulase-negative staphylococcus210.5
E. coli210.5
Enterococcus faecalis15.3
ESBL klebsiella pneumoniae15.3
MRSA15.3
Pseudomonas aeruginosa210.5
Ralstonia15.3
Staphylococcus aureus MSSA210.5
Staphylococcus epidermidis15.3
Staphylococcus lugdunensis15.3
Tuberculosis15.3
Table 3 Comparison of clinical features in native vs prosthetic joints
Clinical feature
Presence
Native
Prosthetic
Odds ratio
P value
N
%
N
%


Joint painYes3193.91645.50.3440.252
No26.1315.8
FeverYes1545.5947.41.0800.894
No1854.51052.6
Joint swellingYes331001798.52.9410.057
No00210.5
Joint limitationYes3090.91789.50.8560.866
No39.1210.5
Table 4 Risk factors/comorbidities
Risk factors/comorbidities present
All cases
Native
Prosthetic
Odds ratio
P value
N
%
N
%
N
%
Complicated by osteomyelitis1121.2927.3210.50.3140.154
Associated with necrotizing fasciitis713.526.1526.30.5360.039
DM3669.22266.71473.71.4000.598
HTN2955.81957.61052.60.8190.730
Renal impairment2344.22060.6315.80.1220.002
Hemodialysis1528.81442.415.30.0750.004
Heart disease1325.01236.415.30.0970.013
CVD59.639.1210.51.1760.866
CLD611.5618.2000.5870.048
Malignancy47.726.1210.51.8240.561
Hematological malignancy11.913.0000.6270.444
Solid organ malignancy47.726.1210.50.3390.561
Surgery within 90 days before Dx59.626.1210.52.9060.252
Osteoarthritis1223.1412.1315.85.2730.013
Rheumatoid arthritis23.800.0210.50.3400.057
Psoriasis11.913.0000.6270.444
Sickler11.913.0000.6270.444
Other rheumatological disease11.913.0000.6270.444
Past septic arthritis11.90013.00.3530.183
Hx of trauma917.3412.1526.32.5890.181
Table 5 Distribution of numerical variables
Variables
Mean
Median
SD
BMI28.6327.006.61
Age59.3164.0017.53
CRP7535.66148.5035267.86
Cell count from aspiration102998.0449375.00139227.01
RBC90367.4810583.00366693.04
Neutrophil76.2184.0027.52
Lymphocyte4.964.003.59
Monocyte10.1410.008.63
Charlson index2.792.002.28
Duration of antimicrobials in days69.8642.00100.61
Table 6 Tuberculosis acid-fast bacilli, tuberculosis polymerase chain reaction, tuberculosis culture, histopathology
Test
Status
N
%
TB AFBNegative1834.6
Not sent3363.5
Positive11.9
TB PCRPositive23.8
Negative1223.1
Not sent3873.1
TB cultureNegative1528.8
Not sent3567.3
Positive23.8
HistopathologyExudate and granulation tissue11.9
Features of septic joint23.8
Features of synovitis11.9
Inflamed granulation tissue23.8
Inflammatory changes23.8
Noncaseating granuloma11.9
Not sent4382.7
Table 7 Antibiotics used to treat

Specifics
N
%
AntibioticsVancomycin1426.9
Ceftriaxone611.5
Meropenem59.6
Cloxacillin47.7
Ceftazidime35.8
Antituberculous drugs23.8
Cefazolin23.8
Ceftriaxone + rifampin23.8
Ciprofloxacin23.8
Imipenem23.8
Piperacillin tazobactam23.8
Streptomycin + rifampin + doxycycline23.8
Ampicillin11.9
Cefepime11.9
Gentamicin + rifampin + doxycycline11.9
Piperacillin tazobactam, vancomycin, clindamycin11.9
Streptomycin + rifampin11.9
Teicoplanin11.9
Table 8 Antibiotic prior aspiration, treatment, surgery
Variables
Attributes
N
%
Antibiotics prior aspirationYes3057.7
No2242.3
Appropriateness of treatmentAppropriate4586.5
Inappropriate713.5
Surgical treatmentArthrotomy1732.7
Joint preservation713.5
Arthroscopic irrigation611.5
Two-stage exchange611.5
Debridement, antibiotics, and implant retention47.7
Above knee amputation11.9
None1121.2
Table 9 Correlation between numerical variables


BMI
AGE
CRP
Cell count
RBC
Neutrophil
Lymphocyte
Monocyte
Creatinine
Charlson
AGEr value0.372b
P value0.007
CRPr value0.0250.048
P value0.8610.739
Cell countr value-0.049-0.1800.213
P value0.7310.2010.137
RBCr value-0.0420.017-0.331a0.279a
P value0.7690.9060.0190.045
Neutrophilr value-0.310-0.1920.0970.0820.177
P value0.1400.3680.6590.7020.407
Lymphocyter value0.1240.265-0.148-0.349-0.050-0.406
P value0.5650.2110.5000.0940.8180.055
Monocyter value0.3790.430-0.543a-0.3110.134-0.816b0.191
P value0.0910.0520.0130.1700.5640.0000.421
Creatininer value-0.1000.1710.2580.2400.0740.186-0.357-0.170
P value0.5140.2600.0950.1130.6310.4190.1220.461
Charlsonr value-0.184-0.041-0.0700.331a0.2720.268-0.391-0.1120.762b
P value0.1920.7710.6300.0160.0510.2050.0590.6290.000
Duration of antimicrobials in daysr value0.1090.2530.058-0.470b-0.308a0.121-0.0030.298-0.325a-0.458b
P value0.4800.0980.7150.0010.0420.6120.9900.2020.0310.002
Table 10 Association between variables of interest
Association between
Odds ratio
P value
Joint type and mortality0.5870.048
Mortality and appropriateness of treatment0.8480.304
Platelet count and mortality-0.273
WBC count and mortality-0.382
Table 11 Relationship between Charlson comorbidity index and mortality

Charlson comorbidity index
Alive, mean ± SD2.39 ± 2.02
Dead, mean ± SD5.83 ± 5.50
P value0.001