Literature DB >> 31748308

Key diagnostic characteristics of fever of unknown origin in Japanese patients: a prospective multicentre study.

Toshio Naito1, Mika Tanei2, Nobuhiro Ikeda3, Toshihiro Ishii4, Tomio Suzuki5, Hiroyuki Morita6, Sho Yamasaki7, Jun'ichi Tamura8, Kenichiro Akazawa9, Koji Yamamoto10, Hiroshi Otani11, Satoshi Suzuki12, Motoo Kikuchi13, Shiro Ono14, Hiroyuki Kobayashi15, Hozuka Akita16, Susumu Tazuma17, Jun Hayashi18.   

Abstract

OBJECTIVE: To identify the key diagnostic features and causes of fever of unknown origin (FUO) in Japanese patients.
DESIGN: Multicentre prospective study.
SETTING: Sixteen hospitals affiliated with the Japanese Society of Hospital General Medicine, covering the East and West regions of Japan. PARTICIPANTS: Patient aged ≥20 years diagnosed with classic FUO (axillary temperature≥38.0°C at least twice within a 3-week period, cause unknown after three outpatient visits or 3 days of hospitalisation). A total of 141 cases met the criteria and were recruited from January 2016 to December 2017. INTERVENTION: Japanese standard diagnostic examinations. OUTCOME MEASURES: Data collected include usual biochemical blood tests, inflammatory markers (erythrocyte sedimentation rate (ESR), C reactive (CRP) protein level, procalcitonin level), imaging results, autopsy findings (if performed) and final diagnosis.
RESULTS: The most frequent age group was 65-79 years old (mean: 58.6±9.1 years). The most frequent cause of FUO was non-infectious inflammatory disease. After a 6-month follow-up period, 21.3% of cases remained undiagnosed. The types of diseases causing FUO were significantly correlated with age and prognosis. Between patients with and without a final diagnosis, there was no difference in CRP level between patients with and without a final diagnosis (p=0.121). A significant difference in diagnosis of a causative disease was found between patients who did or did not receive an ESR test (p=0.041). Of the 35 patients with an abnormal ESR value, 28 (80%) had causative disease identified.
CONCLUSIONS: Age may be a key factor in the differential diagnosis of FUO; the ESR test may be of value in the FUO evaluation process. These results may provide clinicians with insight into the management of FUO to allow adequate treatment according to the cause of the disease. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Japan; aging population; elderly; erythrocyte sedimentation rate; fever of unknown origin; prospective studies

Year:  2019        PMID: 31748308      PMCID: PMC6886908          DOI: 10.1136/bmjopen-2019-032059

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the largest multicentre prospective study of fever of unknown origin (FUO) in Japanese hospitals. The locations of the hospitals involved are geographically dispersed across the country, covering the eastern and western regions of Japan, representing the largest FUO data in Japan. Key diagnostic features and the causes of FUO were analysed with respect to patients’ medical histories, physical examination findings, standard blood tests and imaging examinations. Despite this being the largest data sample collected from Japanese hospitals, the sample size is still small; caution should be taken when generalising the results.

Introduction

Fever of unknown origin (FUO) has many possible causes which can vary depending on region and time period.1–3 FUO was first described in the medical literature in 19304 and defined in 1961.5 Since then, a significantly changing spectrum of diseases causing FUO has been reported.6–12 The causes of FUO have now been classified as infections, non-infectious inflammatory diseases (NIID), malignancies, other conditions and unknown.1 3 The proportion of different causative diseases of FUO has changed over time,13 with fewer cases of FUO caused by infections and neoplasms over the past 40–50 years.14 NIID is now the most common cause of FUO in adults,1 15 while infectious diseases are most common in children.16 17 In recent studies from Europe and the USA, the percentage of patients with unknown FUO varied from 7% to 53%.9 Geographic factors may partly contribute to the proportion of FUO cases attributable to different causes. Recent advances in immunohistopathology and modern imaging make the diagnosis of FUO easier, but definitive diagnosis is often difficult and cannot be achieved in up to 50% of cases.2 3 18 Most previous studies of FUO have focused on its aetiology and prevalence,3 outcomes or the diagnostic value of such tools as inflammatory markers19 20 or positron emission tomography (PET).21–24 However, limited studies have assessed the clinical utility of standard inflammatory markers, even though their use is now widespread.1 The final diagnosis of FUO varies with age;18 25 the most difficult to diagnose cases of FUO have no signs, with the causes remaining unknown.2 Thus, FUO requires a specific diagnostic approach. The medical evaluation of elderly patients requires a different perspective from that needed for younger patients.18 26 Japan has a high proportion of elderly citizens. People aged 65 and older now constitute fully a quarter of the total population.27 Recently, the first nationwide multicentre retrospective study of FUO in Japan was conducted, reporting the related diagnostic workup and identified diseases to consider when evaluating FUO.1 3 However, the aetiology of FUO, its subjective symptoms and the usefulness of diagnostic tools and techniques in diagnosing FUO in the elderly had not been investigated in detail. The purpose of the multicentre prospective study is thus to update the current understanding of FUO with the addition of more patients in geographically dispersed Japanese hospitals. We aimed to identify the key symptoms and signs, diagnostic features and causes of FUO with respect to patient medical history, physical examination findings, standard blood tests and imaging examinations.

Patients and methods

Patients

This prospective study assessed patients aged ≥20 years with classic FUO from 16 hospitals (encompassing the eastern and western regions of Japan) affiliated with the Japanese Society of Hospital General Medicine, between January 2016 and December 2017. Classic FUO was diagnosed based on the definition used in Naito et al1 in patients meeting all of the following criteria: (1) fever≥38.0°C at least twice within a 3-week period; (2) unknown aetiology of fever after three outpatient visits or 3 days of hospitalisation and (3) no diagnosis of immunodeficiency or confirmed HIV infection prior to fever onset. The following data from patients were collected during a 6-month follow-up period and recorded on standardised case report forms: patient characteristics (sex, age, comorbidities, medical history and symptoms); physical examination; blood tests (blood count, general biochemical tests, inflammatory markers: erythrocyte sedimentation rate (ESR), C reactive protein (CRP) level, procalcitonin level); results of blood culture if performed; results of imaging studies and endoscopy if performed; results of cytology, histology and genetic testing or autopsy findings if performed and final diagnosis, day of diagnosis and follow-up diagnosis outcome. In addition to analysing the frequency of different causative diseases and outcomes of FUO cases, we evaluated the association between the presence or absence of examination for diagnostic evaluation, the number of days to diagnosis and the clinical follow-up results of inflammatory markers and other imaging tests. Final diagnoses of the cause of FUO were classified into: infections, NIID, malignancies, other conditions and unknown. Unknown was defined as having no definitive diagnosis after 6 months of clinical investigation.

Statistical analysis

The authors developed cross-tables to present the number of patients and the percentage of those with a final diagnosis of FUO according to symptoms, diagnostic evaluation and time intervals. We performed χ² test to compare the differences between different classes of final diagnosis and all listed factors. We constructed logistic regression models to examine the likelihood of an unknown final diagnosis. All statistic assessments were two-sided and evaluated at the 0.05 level of significance. Statistical analyses were performed using IBM SPSS Statistics for Windows, V.22.0 (IBM, Armonk, New York, USA).

Patient and public involvement statement

No patients or public were involved in the design and conduct of this study. Outcome measures were not affected by patient’s experience or preferences.

Results

Patient characteristics

A total of 141 patients who met the criteria of FUO were prospectively recruited from 16 hospitals, including 78 females (55.3%) and 63 males (44.7%), with a median age of 62 years (range: 22–94 years; IQR: 42–74 years). The largest age group was those 65–79 years (n=47). Infections (n=24; 17.0%) and NIID (n=48; 34.0%) constituted the most common known causes of fever in our patient population (figure 1A). Infectious diseases included viral infection (n=5), infective endocarditis (n=4) and tuberculosis (n=2). The most common NIID were adult-onset Still disease (AOSD) (n=7), polymyalgia rheumatica (PMR) (n=6), antineutrophil cytoplasmic antibody-associated vasculitis (n=6) and rheumatoid arthritis (n=4). Twenty-two patients (15.6%) were diagnosed with malignant neoplasm, of whom 11 had malignant lymphoma. Seventeen patients (12.1%) were diagnosed with other causes, such as histiocytic necrotising lymphadenitis (n=3) and subacute thyroiditis (n=2). The cause in 21.3% (n=30) of cases remained unknown (table 1). Of all patients with FUO, more than 50% of those with infections, malignancy, NIID and other causes required <100 days from the time of fever onset to the final diagnosis. NIID required the shortest time to be diagnosed (median 70.0 days, IQR: 54.5–107.5 days) (online supplementary table S1).
Figure 1

Final diagnosis of FUO. The distribution of final diagnosis of FUO by causative disease (A), sex (B) and age group (<65 years or older) (C). FUO, fever of unknown origin; NIID, non-infectious inflammatory disease.

Table 1

Description of final diagnosis of fever of unknown origin

Final diagnosisN (%)
Infectious disease24 (17.0%)
 Viral infection5
 Infective endocarditis4
 Tuberculosis2
Malignancy22 (15.6%)
 Malignant lymphoma11
Non-infectious inflammatory disease48 (34.0%)
 Adult-onset Still disease7
 Polymyalgia rheumatica6
 ANCA-associated vasculitis6
 Rheumatoid arthritis4
Others17 (12.1%)
 Histiocytic necrotising lymphadenitis3
 Subacute thyroiditis2
Unknown30 (21.3%)

ANCA, anti-neutrophil cytoplasmic antibody.

Final diagnosis of FUO. The distribution of final diagnosis of FUO by causative disease (A), sex (B) and age group (<65 years or older) (C). FUO, fever of unknown origin; NIID, non-infectious inflammatory disease. Description of final diagnosis of fever of unknown origin ANCA, anti-neutrophil cytoplasmic antibody. Figure 1B,C show the distribution of the final diagnosis of FUO by sex and age. The final diagnosis of FUO had no significant correlation with sex (figure 1B; χ2=1.0, df=4, p=0.916) but there was a significant correlation with age (figure 1C; χ2=9.7, df=4, p=0.046). NIIDs constituted the major cause among patients aged ≥65 years (43.1%) and those <65 years (26.3%). A lower percentage of patients aged ≥65 years (4.6%) were diagnosed with other causative diseases compared with those aged <65 years (18.4%).

Symptoms and signs

The comorbidities and symptoms in patients with FUO by final diagnosis are presented in table 2. Comorbidities included chronic conditions such as hypertension, diabetes and dyslipidaemia. A much higher percentage of patients with comorbidities were diagnosed with malignant neoplasm than those without (19.3% vs 9.6%). The major cause of FUO in patients without comorbidities was NIID (40.4%). Higher percentages of patients with respiratory (33.3%) and gastrointestinal (23.8%) symptoms were diagnosed with infectious diseases. Furthermore, the cause of FUO was NIID in most patients with symptoms of arthralgia (61.4%) or muscle pain (63.2%).
Table 2

Characteristics of patients with fever of unknown origin by types of final diagnosis

Variables*Final diagnosis
TotalInfection†Malignancy†NIID†Other†Unknown†
ComorbidityYes8816 (18.2%)17 (19.3%)26 (29.5%)10 (11.4%)19 (21.6%)
No528 (15.4%)5 (9.6%)21 (40.4%)7 (13.5%)11 (21.2%)
Subjective symptoms
 HeadacheYes233 (13.0%)1 (4.3%)9 (39.1%)4 (17.4%)6 (26.1%)
No11620 (17.2%)21 (18.1%)39 (33.6%)12 (10.3%)24 (20.7%)
 Chest painYes31 (33.3%)0 (0%)1 (33.3%)0 (0%)1 (33.3%)
No13622 (16.2%)22 (16.2%)46 (33.8%)17 (12.5%)29 (21.3%)
 Respiratory symptomsYes248 (33.3%)5 (20.8%)2 (8.3%)4 (16.7%)5 (20.7%)
No11616 (13.8%)17 (14.7%)46 (39.7%)13 (11.2%)24 (21.6%)
 Gastrointestinal symptomsYes215 (23.8%)4 (19.0%)3 (14.3%)2 (9.5%)7 (33.3%)
No11919 (16.0%)18 (15.1%)44 (37.0%)15 (12.6%)23 (19.3%)
 Stomach acheYes142 (14.3%)3 (21.4%)5 (35.7%)2 (14.3%)2 (14.3%)
No12521 (16.8%)19 (15.2%)42 (33.6%)15 (12.0%)28 (22.4%)
 ArthralgiaYes445 (11.4%)2 (4.5%)27 (61.4%)4 (9.2%)6 (13.6%)
No9518 (18.9%)20 (21.1%)21 (22.1%)12 (12.6%)24 (25.3%)
 Muscle painYes192 (10.5%)0 (0%)12 (63.2%)1 (5.3%)4 (21.1%)
No11921 (17.6%)21 (17.6%)36 (30.3%)15 (12.6%)26 (21.8%)
 Lymph node enlargementYes152 (13.3%)3 (20.0%)3 (20.0%)5 (33.3%)2 (13.3%)
No12521 (16.8%)19 (15.2%)45 (36.0%)12 (9.6%)28 (22.4%)
 RashYes322 (6.3%)6 (18.8%)13 (40.6%)5 (15.6%)6 (18.8%)
No10922 (20.2%)16 (14.7%)35 (32.1%)12 (11.0%)24 (22.0%)
 Diagnostic evaluation
 WBC‡Yes14124 (17.0%)22 (15.6%)48 (34.0%)17 (12.1%)30 (21.3%)
 CRP‡Yes14124 (15.6%)22 (15.6%)48 (34.0%)17 (12.1%)30 (21.3%)
 ESRYes11514 (12.2%)20 (17.4%)40 (34.8%)12 (10.4%)29 (25.2%)
No2610 (38.5%)2 (7.7%)8 (30.8%)5 (19.2%)1 (3.8%)
 ProcalcitoninYes548 (14.8%)7 (13.0%)20 (37.0%)6 (11.1%)13 (24.1%)
No8716 (18.4%)15 (17.2%)28 (32.2%)11 (12.6%)17 (19.5%)
 Blood cultureYes12523 (18.4%)18 (14.4%)42 (33.6%)13 (10.4%)29 (23.2%)
No161 (6.3%)4 (25.0%)6 (37.5%)4 (25.0%)1 (6.3%)
 AutopsyYes61 (16.7%)1 (16.7%)2 (33.3%)0 (0%)2 (33.3%)
No13322 (16.5%)20 (15.0%)46 (34.6%)17 (12.8%)28 (21.1%)
 PETYes444 (9.1%)10 (22.7%)16 (36.4%)3 (6.8%)11 (25.0%)
No9720 (20.6%)12 (12.4%)32 (33.0%)14 (14.4%)19 (19.6%)
 Ga scintigraphyYes402 (5.0%)8 (20.0%)16 (40.0%)3 (7.5%)11 (27.5%)
No10122 (21.8%)14 (13.9%)32 (31.7%)14 (13.9%)19 (18.8%)

*Missing data would not be reported.

†Percentage was calculated as number of patients who performed examination divided by total patients for each condition.

‡WBC and CRP were performed on all patients.

CRP, C reactive protein; ESR, erythrocyte sedimentation rate; Ga, gallium; NIID, non-infectious inflammatory disease; PET, positron emission tomography; WBC, white blood cells count.

Characteristics of patients with fever of unknown origin by types of final diagnosis *Missing data would not be reported. †Percentage was calculated as number of patients who performed examination divided by total patients for each condition. ‡WBC and CRP were performed on all patients. CRP, C reactive protein; ESR, erythrocyte sedimentation rate; Ga, gallium; NIID, non-infectious inflammatory disease; PET, positron emission tomography; WBC, white blood cells count.

Biochemical and imaging results

White blood cells (WBC) and CRP were examined in all patients, while 81.6% of patients were tested for ESR and 88.7% for blood culture (online supplementary figure S1). Only 38.3% of patients had procalcitonin tests. One in four or five patients underwent imaging scans (28.4% for gallium scintigraphy and 31.2% for PET). Autopsy was performed in only 4.3% of patients. Patients who underwent an ESR test had a greater likelihood of being diagnosed with a malignant neoplasm (17.4%) or unknown cause (25.2%) compared with those without an ESR test. Patients who had undergone an imaging examination had a relatively greater likelihood of being diagnosed with malignancy or NIID compared with those without imaging examinations (table 2). There was a significant association between the aetiology of FUO and the prognosis of patients (figure 2; χ2=27.6, df=12, p=0.006). Most patients with FUO with different causative diseases generally were cured or experienced relief. However, patients with malignancy or unknown causes had higher mortality rates (22.7% and 12.9%, respectively) (figure 2). Among all 141 patients, the cause of fever was not identified in 104 patients at 2 months (figure 3). At the end of the follow-up period, the cause of FUO remained unknown in 30 patients and 11 patients were not cured or had no symptom relief. Four deaths occurred among these patients. Pathological autopsy was performed on a small proportion of those who died (n=3); two cases remained unknown after autopsy (figure 3).
Figure 2

The distribution of final diagnosis of FUO by prognostic outcomes. There was an association between type of causative disease and prognosis (χ2=27.6, df=12, p=0.006). FUO, fever of unknown origin; NIID, non-infectious inflammatory disease.

Figure 3

Time course and prognostic outcomes for patients with FUO. FUO, fever of unknown origin.

The distribution of final diagnosis of FUO by prognostic outcomes. There was an association between type of causative disease and prognosis (χ2=27.6, df=12, p=0.006). FUO, fever of unknown origin; NIID, non-infectious inflammatory disease. Time course and prognostic outcomes for patients with FUO. FUO, fever of unknown origin. Tests were performed for diagnostic evaluation and abnormal readings were defined as in Naito et al:1 WBC: 4000–8000; CRP: 0.3; ESR >100 mm/hour and procalcitonin ≥0.25 ng/mL. Most patients with unknown cause of FUO had abnormal WBC and CRP levels (WBC: 56.7%; CRP: 73.3%, respectively), while a smaller percentage of patients had abnormal ESR and procalcitonin levels (ESR: 24.1%; procalcitonin: 23.1%). Table 3 shows the association of patient demographics, clinical characteristics and diagnostic examinations for patients with known and unknown causes of FUO. There was a significant association between having undergone ESR examination and unknown final diagnosis of FUO (OR=8.43, 95% CI 1.09 to 65.00, p=0.041). Furthermore, 80% (28 of 35) of patients with an abnormal ESR value had a final diagnosis. No other variables differed significantly between the groups with known and unknown cause of FUO (all p>0.05) (table 3).
Table 3

The association of patient demographics, clinical characteristics and diagnostic evaluation between patients with known and unknown causes of FUO

VariablesKnown cause*Unknown cause*OR (95% CI)P value†
Age group≥65 years53 (81.5%)12 (18.5%)0.73 (0.32 to 1.66)0.451
<65 years58 (76.3%)18 (23.7%)1.00
SexMale48 (76.2%)15 (23.8%)1.31 (0.59 to 2.95)0.510
Female63 (80.8%)15 (19.2%)1.00
ComorbidityYes69 (78.4%)19 (21.6%)1.03 (0.44 to 2.37)0.951
No41 (78.8%)11 (21.2%)1.00
Symptoms
 HeadacheYes17 (73.9%)6 (26.1%)1.35 (0.48 to 3.80)0.566
No92 (79.3%)24 (20.7%)1.00
 Chest painYes2 (66.7%)1 (33.3%)1.85 (0.16 to 20.07)0.622
No107 (78.7%)29 (21.3%)1.00
 Respiratory symptomsYes19 (79.2%)5 (20.8%)1.01 (0.34 to 2.98)0.987
No92 (79.3%)24 (20.7%)1.00
 Gastrointestinal symptomsYes14 (66.7%)7 (33.3%)2.09 (0.76 to 5.76)0.155
No96 (80.7%)23 (19.3%)1.00
 Stomach acheYes12 (85.7%)2 (14.3%)0.58 (0.12 to 2.73)0.489
No97 (77.6%)28 (22.4%)1.00
 ArthralgiaYes38 (86.4%)6 (13.6%)0.47 (0.18 to 1.24)0.127
No71 (74.7%)24 (25.3%)1.00
 Muscle painYes15 (78.9%)4 (21.1%)0.95 (0.29 to 3.12)0.938
No93 (78.2%)26 (21.8%)1.00
 Lymph node enlargementYes13 (86.7%)2 (13.3%)0.53 (0.11 to 2.50)0.425
No97 (77.6%)28 (22.4%)1.00
 RashYes26 (81.3%)6 (18.8%)0.82 (0.30 to 2.21)0.692
No85 (78.0%)24 (22.0%)1.00
Ancillary findings
 WBCYes111 (78.7%)30 (21.3%)NANA
No0 (0%)0 (0%)
 CRPYes111 (78.7%)30 (21.3%)NANA
No0 (0%)0 (0%)
 ESRYes86 (74.8%)29 (25.2%)8.43 (1.09 to 65.00)0.041
No25 (96.2%)1 (3.8%)1.00
 ProcalcitoninYes41 (75.9%)13 (24.1%)1.31 (0.58 to 2.96)0.523
No70 (80.5%)17 (19.5%)1.00
 Blood cultureYes96 (76.8%)29 (23.2%)4.53 (0.57 to 35.78)0.152
No15 (93.8%)1 (6.3%)1.00
 AutopsyYes4 (66.7%)2 (33.3%)1.88 (0.33 to 10.77)0.481
No105 (78.9%)28 (21.1%)1.00
 PETYes33 (75.0%)11 (25.0%)1.37 (0.59 to 3.19)0.468
No78 (80.4%)19 (19.6%)1.00
 Ga scintigraphyYes29 (72.5%)11 (27.5%)1.64 (0.70 to 3.85)0.258
No82 (81.2%)19 (18.8%)1.00

Stomach ache is different from gastrointestinal symptoms, which include vomiting and diarrhoea.

*Percentage was calculated as the number of patients who received an examination divided by the total patients for each condition.

†χ² tests were performed.

CRP, C reactive protein; ESR, erythrocyte sedimentation rate; Ga, gallium; PET, positron emission tomography; WBC, white blood cell count.

The association of patient demographics, clinical characteristics and diagnostic evaluation between patients with known and unknown causes of FUO Stomach ache is different from gastrointestinal symptoms, which include vomiting and diarrhoea. *Percentage was calculated as the number of patients who received an examination divided by the total patients for each condition. †χ² tests were performed. CRP, C reactive protein; ESR, erythrocyte sedimentation rate; Ga, gallium; PET, positron emission tomography; WBC, white blood cell count.

Discussion

This prospective multicentre study represents the largest report of FUO data in Japanese patients to date. Of these 141 patients with FUO recruited from 16 hospitals, the most frequent age group was 65–79 years old, with the most frequent cause being NIID. There was a significant correlation between the final diagnosis of FUO and the age of patients (≥65 and<65 years), but not with sex. While most studies have identified NIID as the most common cause of FUO in Japan,1 15 28 29 our 2013 study found similar rates of NIID as a cause of FUO in participants ≥65 and <65 years.3 The different selection strategies of the age groups and the ageing of the Japanese population may contribute to the differences in these findings between studies. In Japan, adults age ≥65 accounted for 26.7% of the 127.11 million population in 2016,27 30 and will increase to 40% in 2050, according to a new analysis.31 In this study, 46.1% of patients were ≥65 years, an increase since 2013 (42.1%).3 Moreover, this trend should also be considered in Western countries, where ageing of the population is also expected.31 A diagnosis of NIID, which occurs significantly more often in elderly patients,1 consequently must be considered first for an FUO, particularly in patients ≥65 years. Of interest, AOSD was the most frequent NIID cause of FUO in this population. Several factors may explain this seemingly high proportion (5%). One possible justification could be that these patients may have AOSD susceptibility genes. Susceptibility of AOSD in the Japanese population depends on the genotype combinations of the HLD DRB1 and DQB1 alleles, and predisposing risk has been found associated with the haplotype DRB1*15:01-DQB1*06:02 in Japanese patients with AOSD.32 However, genotyping results were not available for this study. Difference in causative disease between populations could be influenced by factors such as geographic location, zoonotic characteristics and the economic and medical organisation of the local healthcare system. Infectious disease was the leading cause of FUO in South-East Europe, as reported by Baymakova et al in 2016.33 Infection was the second most common causes of fever in our patient population. Our previous study in 2013 demonstrated that PMR and HIV should be considered as causes of FUO.3 However, HIV was not found in this study, possibly due to the efficiency of HIV testing in Japan. The frequency of unknown cause in our study was comparable to that found previously in 2013.3 The availability of new diagnostic techniques, including CT, PET imaging, improved culture techniques and advanced serological assays, has changed both the spectrum of diseases causing FUO and the time to reveal the final diagnosis. In a previous study, the cause of FUO diagnosed after ≥100 days was malignancy.3 In this study, more than 50% of patients with FUO with infections, malignancy, NIID and other causes had a final diagnosis within 100 days of fever onset. Similarly, in a series of patients with FUO studied in Europe and USA, 30%–50% were of unknown cause after a follow-up of ≥100 days.6 9 34 In the present study, we evaluated key symptoms and signs in patients with FUO to determine which were diagnostically useful. We found that comorbidities were the main symptoms and signs in FUO caused by malignant neoplasms. Patients with infectious diseases often had respiratory and gastrointestinal symptoms, while those with NIID often had arthralgia or muscle pain. Although the various symptoms/signs were not directly related to the final diagnosis of FUO,14 their presence might help improve the differential diagnosis in patients with FUO. A systemic review from 2003 reported that the prevalence of FUO was 1.5%–3% in all hospitalised patients, and mortality in these patients was 12%–35%.35 We found that the aetiology of FUO was significantly associated with prognosis; patients with FUO diagnosed with malignancy or unknown causes had higher mortality rates. A Danish study also found that patients with FUO with malignancy had poor prognosis.36 Little is known about the prognosis of patients with FUO of unknown cause. In our study, 4 of 30 (13.3%) patients with FUO of unknown cause died during within 6 months; the cause of FUO remained unknown after autopsy in two of these patients. In patients with FUO of unknown cause, Dutch studies showed mortality rates of 2.0%–4.0%6 36 and other western-European studies reported mortality rates of 2.0%–19.0%.7 10 37–39 The variances among studies may be due to differences in patient selection, study design or healthcare systems. Since there is no standard diagnostic approach in FUO, classic test features are difficult to apply in FUO studies. Of all positive biochemical tests, only 1.7% contributed indirectly to diagnosis in a Turkey FUO study.13 Despite advances in diagnostic tests and techniques, a significant proportion of all cases remains undiagnosed.40 Our previous study found that 14.9% of patients with FUO had an ESR >100 mm/hour, including 5 with FUO of unknown cause.1 In the current study, 35 of 115 patients (30.4%) had an abnormal ESR test result; in these, the cause of FUO was identified in 80% of patients. In addition, there was a significant association between known cause and ancillary ESR test, but not with other variables such as procalcitonin or PET. Therefore, the current study demonstrated the usefulness of ESR in evaluating FUO. However, further investigation is required. We speculate that future FUO research may be leaving the twilight zone as diagnostic microcellular research technologies emerge from the laboratory to point-of-care rapid diagnostic kits. We await further advances in diagnostic artificial intelligence to expose FUO cause in more cases.41 42 The present study has the following limitations. First, despite this being the largest data sample ever collected from geographically dispersed Japanese hospitals, the sample size is still small; caution should be taken when generalising our results. Also, we did not establish uniformity of the diagnostic criterion used in this study, which may have resulted in overdiagnosis or underdiagnosis of specific disease categories. Uncertainty of diagnosis was not addressed. Finally, our follow-up database was not designed to include records of spontaneous fever remission.43 In conclusion, evaluating and determining the cause of a fever is complex. The availability of new diagnostic techniques (including CT and PET imaging), improved culture techniques and recent advances in serological assays have all changed both the spectrum of diseases causing FUO and the time needed to reach a final diagnosis. Our study identified age and ESR as potentially important factors useful in assisting clinicians navigate the paths to diagnosing FUO. These advances, together with future development of multimicrobial and cancer cell detection tools, may allow faster determination of the causes of FUO and further improve the prognosis of patients with FUO.
  39 in total

1.  Fever of unexplained origin: report on 100 cases.

Authors:  R G PETERSDORF; P B BEESON
Journal:  Medicine (Baltimore)       Date:  1961-02       Impact factor: 1.889

Review 2.  FDG-PET in fever of unknown origin.

Authors:  Ilse J E Kouijzer; Chantal P Bleeker-Rovers; Wim J G Oyen
Journal:  Semin Nucl Med       Date:  2013-09       Impact factor: 4.446

3.  Inflammation of unknown origin versus fever of unknown origin: two of a kind.

Authors:  Steven Vanderschueren; Elke Del Biondo; David Ruttens; Inge Van Boxelaer; Els Wauters; Daniël D C Knockaert
Journal:  Eur J Intern Med       Date:  2009-02-01       Impact factor: 4.487

Review 4.  Current fever of unknown origin 1982-1992.

Authors:  Y Iikuni; J Okada; H Kondo; S Kashiwazaki
Journal:  Intern Med       Date:  1994-02       Impact factor: 1.271

5.  Nuclear Imaging for Classic Fever of Unknown Origin: Meta-Analysis.

Authors:  Motoki Takeuchi; Issa J Dahabreh; Takashi Nihashi; Mitsunaga Iwata; George M Varghese; Teruhiko Terasawa
Journal:  J Nucl Med       Date:  2016-06-23       Impact factor: 10.057

Review 6.  Fever of unknown origin: a review of 80 patients from the Shin'etsu area of Japan from 1986-1992.

Authors:  S Shoji; A Imamura; Y Imai; A Igarashi; M Yazawa; K Hirahara; M Kagoshima; M Ono; K Nakajima; K Iguchi
Journal:  Intern Med       Date:  1994-02       Impact factor: 1.271

7.  The spectrum of diseases causing fever of unknown origin in Turkey: a multicenter study.

Authors:  Yasar Kucukardali; Oral Oncul; Saban Cavuslu; Mehmet Danaci; Semra Calangu; Hakan Erdem; Ayse Willke Topcu; Zuhal Adibelli; Murat Akova; Emel Azak Karaali; Ahmet Melih Ozel; Zahit Bolaman; Bulent Caka; Birsen Cetin; Erkan Coban; Oguz Karabay; Cagla Karakoc; Mehmet Akif Karan; Selda Korkmaz; Gulsen Ozkaya Sahin; Alaaddin Pahsa; Fatma Sirmatel; Emrullah Solmazgul; Namik Ozmen; Ilyas Tokatli; Cengiz Uzun; Gulsen Yakupoglu; Bulent Ahmet Besirbellioglu; Hanefi Cem Gul
Journal:  Int J Infect Dis       Date:  2007-07-12       Impact factor: 3.623

8.  Key diagnostic features of fever of unknown origin: Medical history and physical findings.

Authors:  Rinne Takeda; Masafumi Mizooka; Tomoki Kobayashi; Nobusuke Kishikawa; Kenichi Yokobayashi; Keishi Kanno; Susumu Tazuma
Journal:  J Gen Fam Med       Date:  2017-05-23

Review 9.  Association of 18F-FDG PET or PET/CT results with spontaneous remission in classic fever of unknown origin: A systematic review and meta-analysis.

Authors:  Motoki Takeuchi; Takashi Nihashi; Anat Gafter-Gvili; Francisco Javier García-Gómez; Emmanuel Andres; Daniel Blockmans; Mitsunaga Iwata; Teruhiko Terasawa
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

Review 10.  Fever of unknown origin (FUO) revised.

Authors:  Manuel Unger; Georgios Karanikas; Andreas Kerschbaumer; Stefan Winkler; Daniel Aletaha
Journal:  Wien Klin Wochenschr       Date:  2016-09-26       Impact factor: 1.704

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  12 in total

Review 1.  Optimal use of the FDG-PET/CT in the diagnostic process of fever of unknown origin (FUO): a comprehensive review.

Authors:  Ryogo Minamimoto
Journal:  Jpn J Radiol       Date:  2022-07-04       Impact factor: 2.374

Review 2.  Clinical perspectives and therapeutic strategies: pediatric autoinflammatory disease-a multi-faceted approach to fever of unknown origin of childhood.

Authors:  Akihiro Yachie
Journal:  Inflamm Regen       Date:  2022-07-02

3.  Geographic Variation of Infectious Disease Diagnoses Among Patients With Fever of Unknown Origin: A Systematic Review and Meta-analysis.

Authors:  William F Wright; Gayane Yenokyan; Patricia J Simner; Karen C Carroll; Paul G Auwaerter
Journal:  Open Forum Infect Dis       Date:  2022-04-09       Impact factor: 4.423

4.  Development of a Clinical Prediction Model for Infective Endocarditis Among Patients with Undiagnosed Fever: A Pilot Case-Control Study.

Authors:  Shun Yamashita; Masaki Tago; So Motomura; Satsuki Oie; Hidetoshi Aihara; Naoko E Katsuki; Shu-Ichi Yamashita
Journal:  Int J Gen Med       Date:  2021-08-11

5.  Prospective Studies Comparing Structured vs Nonstructured Diagnostic Protocol Evaluations Among Patients With Fever of Unknown Origin: A Systematic Review and Meta-analysis.

Authors:  William F Wright; Joshua F Betz; Paul G Auwaerter
Journal:  JAMA Netw Open       Date:  2022-06-01

6.  Pseudogout as a Cause of Fever of Unknown Origin Following Staphylococcal Bacteremia in an Older Patient.

Authors:  Ryoko Yamauchi; Ryuichi Ohta; Mari Igarashi; Yasuo Kurita; Miho Hayakawa; Chiaki Sano
Journal:  Cureus       Date:  2022-04-21

7.  Application of Machine Learning for the Prediction of Etiological Types of Classic Fever of Unknown Origin.

Authors:  Yongjie Yan; Chongyuan Chen; Yunyu Liu; Zuyue Zhang; Lin Xu; Kexue Pu
Journal:  Front Public Health       Date:  2021-12-24

8.  Evaluations of Clinical Utilization of Metagenomic Next-Generation Sequencing in Adults With Fever of Unknown Origin.

Authors:  Zhang-Fan Fu; Hao-Cheng Zhang; Yi Zhang; Peng Cui; Yang Zhou; Hong-Yu Wang; Ke Lin; Xian Zhou; Jing Wu; Hong-Long Wu; Wen-Hong Zhang; Jing-Wen Ai
Journal:  Front Cell Infect Microbiol       Date:  2022-01-21       Impact factor: 5.293

9.  Fever of unknown origin (FUO) in children: a single-centre experience from Beijing, China.

Authors:  Bing Hu; Tian-Ming Chen; Shu-Ping Liu; Hui-Li Hu; Ling-Yun Guo; He-Ying Chen; Shao-Ying Li; Gang Liu
Journal:  BMJ Open       Date:  2022-03-16       Impact factor: 2.692

Review 10.  Fever and Fever of Unknown Origin: Review, Recent Advances, and Lingering Dogma.

Authors:  William F Wright; Paul G Auwaerter
Journal:  Open Forum Infect Dis       Date:  2020-05-02       Impact factor: 3.835

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